[System]
You are an expert in the loaded_language manipulation technique. Loaded Language: Employs strongly emotional or charged words to sway opinion. List phrases that provide evidence of loaded_language in the given sentence if they are present. Given the evidence, make a judgement whether the sentence contains the loaded_language manipulation.
To improve the classifier's performance in identifying the use of loaded language effectively, addressing the observed false positives and false negatives is crucial. Here are some tailored classification guidelines you can follow:

### Guidelines for Identifying Loaded Language

1. **Understand Emotional Connotations**:
   - Loaded language often contains words or phrases that evoke strong emotions (anger, fear, pride, hope). It is essential to focus on the emotional valence of specific words rather than their dictionary definitions.
   - Words like "aggression," "oppression," "hero," "struggle," "victories," or "tyranny" carry significant emotional weight. Identify and flag such emotions in the context compared to neutral language.

2. **Context Matters**:
   - Evaluate the context in which words are used. For example, "responsibility" might be neutral in some contexts but might turn charged when discussing obligation in a war scenario.
   - Understand idiomatic expressions or phrases that may sound neutral but hold connotations in a specific context (e.g., "defend," "combat," "struggle for freedom").

3. **Identify Power Dynamics**:
   - Loaded language often reflects power dynamics, such as terms that undermine opponents or elevate allies. Look for language that labels individuals or groups negatively (e.g., "occupied" vs. "liberated").
   - Watch for descriptors that reinforce or challenge authority, such as "heroic" for allied forces or "tyrants" for opposing ones.

4. **Differentiate Between Facts and Narrative**:
   - Loaded language usually blends factual statements with subjective judgment or a narrative. Distinguish pure facts from interpretative statements.
   - Avoid flagging statements that are purely factual (like citing a number of casualties) unless accompanied by a subjective or emotional angle.

5. **Watch Out for Hyperbole**:
   - Loaded language can include exaggerated statements used for emphasis. Phrases like "massive loss," "unprecedented destruction," or "complete victory" can evoke strong emotional responses.
   - Identify potential hyperboles that shift the tone of the text dramatically.

6. **Recognize Patterned Language**:
   - Identify recurring phrases or terms that express similar sentiments across various documents. Loaded language often follows a pattern in how certain ideas are framed (e.g., "sacrificing for freedom").
   - Use linguistic analysis tools to detect common phrases associated with loaded language.

7. **Test for Binary Classification**:
   - Implement a system that categorizes phrases as either loaded language or neutral based on their emotional impact. Use a manual review process for ambiguous cases where AI misclassifies critical language as neutral.
   - For example, if a document states, "The soldiers bravely defended the city while facing overwhelming odds," flag it as loaded due to the valorisation of soldiers.

### Addressing False Negatives
- Pay close attention to phrases that may appear neutral but are contextually important for the overall sentiment (e.g., "The need for defense equipment is crucial during this time").
- Analyze statements that reference significant events, tragedies, or losses but are framed neutrally, as they can carry emotional weight in specific contexts.

### Addressing False Positives
- Implement rules or heuristics to detect and filter out terms that are commonly used in legal or military discourse without emotive connotations (like "responsibility" or "mobilization").
- Use more specific contextual cues by analyzing surrounding language to ensure a more refined understanding of potential loaded versus neutral expressions.

By focusing on these guidelines, you can enhance your classifier to more accurately detect loaded language while reducing the misclassification of terms that appear impartial. It's a combination of nuanced linguistic analysis and sensitivity to context that will yield better results.

[User]
Олигарх Фирташ получил подозрение от СБУ и БЭБ, идут обыски.
Правоохранители вручают подозрения и 8 топ-менеджерам его компаний. С утра проходят обыски у руководителей фирм олигарха и облгазов. Разоблачена схема, по которой подконтрольные Фирташу структуры покупали топливо у его же компании, но на самом деле получали 30% от объемов.
Искусственный дефицит покрывался за счет государственного газа, а деньги оседали в карманах Фирташа. За семь лет такая схема нанесла ущерб бюджету страны на 18 млрд гривен.
https://t.me/informpolitika/909


[System]
You are an expert in the loaded_language manipulation technique. Loaded Language: Employs strongly emotional or charged words to sway opinion. List phrases that provide evidence of loaded_language in the given sentence if they are present. Given the evidence, make a judgement whether the sentence contains the loaded_language manipulation.
To improve the classifier's performance in identifying the use of loaded language effectively, addressing the observed false positives and false negatives is crucial. Here are some tailored classification guidelines you can follow:

### Guidelines for Identifying Loaded Language

1. **Understand Emotional Connotations**:
   - Loaded language often contains words or phrases that evoke strong emotions (anger, fear, pride, hope). It is essential to focus on the emotional valence of specific words rather than their dictionary definitions.
   - Words like "aggression," "oppression," "hero," "struggle," "victories," or "tyranny" carry significant emotional weight. Identify and flag such emotions in the context compared to neutral language.

2. **Context Matters**:
   - Evaluate the context in which words are used. For example, "responsibility" might be neutral in some contexts but might turn charged when discussing obligation in a war scenario.
   - Understand idiomatic expressions or phrases that may sound neutral but hold connotations in a specific context (e.g., "defend," "combat," "struggle for freedom").

3. **Identify Power Dynamics**:
   - Loaded language often reflects power dynamics, such as terms that undermine opponents or elevate allies. Look for language that labels individuals or groups negatively (e.g., "occupied" vs. "liberated").
   - Watch for descriptors that reinforce or challenge authority, such as "heroic" for allied forces or "tyrants" for opposing ones.

4. **Differentiate Between Facts and Narrative**:
   - Loaded language usually blends factual statements with subjective judgment or a narrative. Distinguish pure facts from interpretative statements.
   - Avoid flagging statements that are purely factual (like citing a number of casualties) unless accompanied by a subjective or emotional angle.

5. **Watch Out for Hyperbole**:
   - Loaded language can include exaggerated statements used for emphasis. Phrases like "massive loss," "unprecedented destruction," or "complete victory" can evoke strong emotional responses.
   - Identify potential hyperboles that shift the tone of the text dramatically.

6. **Recognize Patterned Language**:
   - Identify recurring phrases or terms that express similar sentiments across various documents. Loaded language often follows a pattern in how certain ideas are framed (e.g., "sacrificing for freedom").
   - Use linguistic analysis tools to detect common phrases associated with loaded language.

7. **Test for Binary Classification**:
   - Implement a system that categorizes phrases as either loaded language or neutral based on their emotional impact. Use a manual review process for ambiguous cases where AI misclassifies critical language as neutral.
   - For example, if a document states, "The soldiers bravely defended the city while facing overwhelming odds," flag it as loaded due to the valorisation of soldiers.

### Addressing False Negatives
- Pay close attention to phrases that may appear neutral but are contextually important for the overall sentiment (e.g., "The need for defense equipment is crucial during this time").
- Analyze statements that reference significant events, tragedies, or losses but are framed neutrally, as they can carry emotional weight in specific contexts.

### Addressing False Positives
- Implement rules or heuristics to detect and filter out terms that are commonly used in legal or military discourse without emotive connotations (like "responsibility" or "mobilization").
- Use more specific contextual cues by analyzing surrounding language to ensure a more refined understanding of potential loaded versus neutral expressions.

By focusing on these guidelines, you can enhance your classifier to more accurately detect loaded language while reducing the misclassification of terms that appear impartial. It's a combination of nuanced linguistic analysis and sensitivity to context that will yield better results.

[User]
🔴
Росіянам почали розсилати електронні повістки.
Онлайн-повістки тестують у Санкт-Петербурзі у тестовому режимі у рамках весняного призову, повідомив військовий комісар міста.
Електронні повістки надходять до особистого кабінету на
Держпослугах
 та через СМС-повідомлення.


[System]
You are an expert in the loaded_language manipulation technique. Loaded Language: Employs strongly emotional or charged words to sway opinion. List phrases that provide evidence of loaded_language in the given sentence if they are present. Given the evidence, make a judgement whether the sentence contains the loaded_language manipulation.
To improve the classifier's performance in identifying the use of loaded language effectively, addressing the observed false positives and false negatives is crucial. Here are some tailored classification guidelines you can follow:

### Guidelines for Identifying Loaded Language

1. **Understand Emotional Connotations**:
   - Loaded language often contains words or phrases that evoke strong emotions (anger, fear, pride, hope). It is essential to focus on the emotional valence of specific words rather than their dictionary definitions.
   - Words like "aggression," "oppression," "hero," "struggle," "victories," or "tyranny" carry significant emotional weight. Identify and flag such emotions in the context compared to neutral language.

2. **Context Matters**:
   - Evaluate the context in which words are used. For example, "responsibility" might be neutral in some contexts but might turn charged when discussing obligation in a war scenario.
   - Understand idiomatic expressions or phrases that may sound neutral but hold connotations in a specific context (e.g., "defend," "combat," "struggle for freedom").

3. **Identify Power Dynamics**:
   - Loaded language often reflects power dynamics, such as terms that undermine opponents or elevate allies. Look for language that labels individuals or groups negatively (e.g., "occupied" vs. "liberated").
   - Watch for descriptors that reinforce or challenge authority, such as "heroic" for allied forces or "tyrants" for opposing ones.

4. **Differentiate Between Facts and Narrative**:
   - Loaded language usually blends factual statements with subjective judgment or a narrative. Distinguish pure facts from interpretative statements.
   - Avoid flagging statements that are purely factual (like citing a number of casualties) unless accompanied by a subjective or emotional angle.

5. **Watch Out for Hyperbole**:
   - Loaded language can include exaggerated statements used for emphasis. Phrases like "massive loss," "unprecedented destruction," or "complete victory" can evoke strong emotional responses.
   - Identify potential hyperboles that shift the tone of the text dramatically.

6. **Recognize Patterned Language**:
   - Identify recurring phrases or terms that express similar sentiments across various documents. Loaded language often follows a pattern in how certain ideas are framed (e.g., "sacrificing for freedom").
   - Use linguistic analysis tools to detect common phrases associated with loaded language.

7. **Test for Binary Classification**:
   - Implement a system that categorizes phrases as either loaded language or neutral based on their emotional impact. Use a manual review process for ambiguous cases where AI misclassifies critical language as neutral.
   - For example, if a document states, "The soldiers bravely defended the city while facing overwhelming odds," flag it as loaded due to the valorisation of soldiers.

### Addressing False Negatives
- Pay close attention to phrases that may appear neutral but are contextually important for the overall sentiment (e.g., "The need for defense equipment is crucial during this time").
- Analyze statements that reference significant events, tragedies, or losses but are framed neutrally, as they can carry emotional weight in specific contexts.

### Addressing False Positives
- Implement rules or heuristics to detect and filter out terms that are commonly used in legal or military discourse without emotive connotations (like "responsibility" or "mobilization").
- Use more specific contextual cues by analyzing surrounding language to ensure a more refined understanding of potential loaded versus neutral expressions.

By focusing on these guidelines, you can enhance your classifier to more accurately detect loaded language while reducing the misclassification of terms that appear impartial. It's a combination of nuanced linguistic analysis and sensitivity to context that will yield better results.

[User]
Дія, мобільний банкінг і гостинні українці
🤍
 Які факти про Україну дивують іноземців найбільше

Знайомтеся, це Льюїс — мандрівник з Німеччини. Нещодавно він відвідав Україну та зняв огляд того, що його приємно здивувало. Деталі — у відео!

Держава в смартфоні — національна гордість, приклад для наслідування для всього світу. Тож цифровізуємо далі
✨


[System]
You are an expert in the loaded_language manipulation technique. Loaded Language: Employs strongly emotional or charged words to sway opinion. List phrases that provide evidence of loaded_language in the given sentence if they are present. Given the evidence, make a judgement whether the sentence contains the loaded_language manipulation.
To improve the classifier's performance in identifying the use of loaded language effectively, addressing the observed false positives and false negatives is crucial. Here are some tailored classification guidelines you can follow:

### Guidelines for Identifying Loaded Language

1. **Understand Emotional Connotations**:
   - Loaded language often contains words or phrases that evoke strong emotions (anger, fear, pride, hope). It is essential to focus on the emotional valence of specific words rather than their dictionary definitions.
   - Words like "aggression," "oppression," "hero," "struggle," "victories," or "tyranny" carry significant emotional weight. Identify and flag such emotions in the context compared to neutral language.

2. **Context Matters**:
   - Evaluate the context in which words are used. For example, "responsibility" might be neutral in some contexts but might turn charged when discussing obligation in a war scenario.
   - Understand idiomatic expressions or phrases that may sound neutral but hold connotations in a specific context (e.g., "defend," "combat," "struggle for freedom").

3. **Identify Power Dynamics**:
   - Loaded language often reflects power dynamics, such as terms that undermine opponents or elevate allies. Look for language that labels individuals or groups negatively (e.g., "occupied" vs. "liberated").
   - Watch for descriptors that reinforce or challenge authority, such as "heroic" for allied forces or "tyrants" for opposing ones.

4. **Differentiate Between Facts and Narrative**:
   - Loaded language usually blends factual statements with subjective judgment or a narrative. Distinguish pure facts from interpretative statements.
   - Avoid flagging statements that are purely factual (like citing a number of casualties) unless accompanied by a subjective or emotional angle.

5. **Watch Out for Hyperbole**:
   - Loaded language can include exaggerated statements used for emphasis. Phrases like "massive loss," "unprecedented destruction," or "complete victory" can evoke strong emotional responses.
   - Identify potential hyperboles that shift the tone of the text dramatically.

6. **Recognize Patterned Language**:
   - Identify recurring phrases or terms that express similar sentiments across various documents. Loaded language often follows a pattern in how certain ideas are framed (e.g., "sacrificing for freedom").
   - Use linguistic analysis tools to detect common phrases associated with loaded language.

7. **Test for Binary Classification**:
   - Implement a system that categorizes phrases as either loaded language or neutral based on their emotional impact. Use a manual review process for ambiguous cases where AI misclassifies critical language as neutral.
   - For example, if a document states, "The soldiers bravely defended the city while facing overwhelming odds," flag it as loaded due to the valorisation of soldiers.

### Addressing False Negatives
- Pay close attention to phrases that may appear neutral but are contextually important for the overall sentiment (e.g., "The need for defense equipment is crucial during this time").
- Analyze statements that reference significant events, tragedies, or losses but are framed neutrally, as they can carry emotional weight in specific contexts.

### Addressing False Positives
- Implement rules or heuristics to detect and filter out terms that are commonly used in legal or military discourse without emotive connotations (like "responsibility" or "mobilization").
- Use more specific contextual cues by analyzing surrounding language to ensure a more refined understanding of potential loaded versus neutral expressions.

By focusing on these guidelines, you can enhance your classifier to more accurately detect loaded language while reducing the misclassification of terms that appear impartial. It's a combination of nuanced linguistic analysis and sensitivity to context that will yield better results.

[User]
Замглавы Главного управления разведки Минобороны Украины генерал Вадим Скибицкий в интервью Welt в ответ на вопрос о том, "
Какие у вас отношения с Евгением Пригожиным, главой группы наемников «Вагнера»?
", заявил, что “
мы пытаемся его убить
”.
https://t.me/rezident_ua/16146


[System]
You are an expert in the loaded_language manipulation technique. Loaded Language: Employs strongly emotional or charged words to sway opinion. List phrases that provide evidence of loaded_language in the given sentence if they are present. Given the evidence, make a judgement whether the sentence contains the loaded_language manipulation.
To improve the classifier's performance in identifying the use of loaded language effectively, addressing the observed false positives and false negatives is crucial. Here are some tailored classification guidelines you can follow:

### Guidelines for Identifying Loaded Language

1. **Understand Emotional Connotations**:
   - Loaded language often contains words or phrases that evoke strong emotions (anger, fear, pride, hope). It is essential to focus on the emotional valence of specific words rather than their dictionary definitions.
   - Words like "aggression," "oppression," "hero," "struggle," "victories," or "tyranny" carry significant emotional weight. Identify and flag such emotions in the context compared to neutral language.

2. **Context Matters**:
   - Evaluate the context in which words are used. For example, "responsibility" might be neutral in some contexts but might turn charged when discussing obligation in a war scenario.
   - Understand idiomatic expressions or phrases that may sound neutral but hold connotations in a specific context (e.g., "defend," "combat," "struggle for freedom").

3. **Identify Power Dynamics**:
   - Loaded language often reflects power dynamics, such as terms that undermine opponents or elevate allies. Look for language that labels individuals or groups negatively (e.g., "occupied" vs. "liberated").
   - Watch for descriptors that reinforce or challenge authority, such as "heroic" for allied forces or "tyrants" for opposing ones.

4. **Differentiate Between Facts and Narrative**:
   - Loaded language usually blends factual statements with subjective judgment or a narrative. Distinguish pure facts from interpretative statements.
   - Avoid flagging statements that are purely factual (like citing a number of casualties) unless accompanied by a subjective or emotional angle.

5. **Watch Out for Hyperbole**:
   - Loaded language can include exaggerated statements used for emphasis. Phrases like "massive loss," "unprecedented destruction," or "complete victory" can evoke strong emotional responses.
   - Identify potential hyperboles that shift the tone of the text dramatically.

6. **Recognize Patterned Language**:
   - Identify recurring phrases or terms that express similar sentiments across various documents. Loaded language often follows a pattern in how certain ideas are framed (e.g., "sacrificing for freedom").
   - Use linguistic analysis tools to detect common phrases associated with loaded language.

7. **Test for Binary Classification**:
   - Implement a system that categorizes phrases as either loaded language or neutral based on their emotional impact. Use a manual review process for ambiguous cases where AI misclassifies critical language as neutral.
   - For example, if a document states, "The soldiers bravely defended the city while facing overwhelming odds," flag it as loaded due to the valorisation of soldiers.

### Addressing False Negatives
- Pay close attention to phrases that may appear neutral but are contextually important for the overall sentiment (e.g., "The need for defense equipment is crucial during this time").
- Analyze statements that reference significant events, tragedies, or losses but are framed neutrally, as they can carry emotional weight in specific contexts.

### Addressing False Positives
- Implement rules or heuristics to detect and filter out terms that are commonly used in legal or military discourse without emotive connotations (like "responsibility" or "mobilization").
- Use more specific contextual cues by analyzing surrounding language to ensure a more refined understanding of potential loaded versus neutral expressions.

By focusing on these guidelines, you can enhance your classifier to more accurately detect loaded language while reducing the misclassification of terms that appear impartial. It's a combination of nuanced linguistic analysis and sensitivity to context that will yield better results.

[User]
Аби першими отримувати істини карасизму послані на грішну Землю з котокосму досконалості.
Ви все ще маєте унікальну можливість підписатися на Карася всюди.
Фейсбук мені знову знищили.
Інстаграм
https://instagram.com/karas.yevgen
Твітер
https://twitter.com/Eugen_Karas
Покваптесь!
Сьогодні це ще безплатно.
А вже післязавтра всіх підписників оголосять в розшук Басманним судом города Москвы.


[System]
You are an expert in the loaded_language manipulation technique. Loaded Language: Employs strongly emotional or charged words to sway opinion. List phrases that provide evidence of loaded_language in the given sentence if they are present. Given the evidence, make a judgement whether the sentence contains the loaded_language manipulation.
To improve the classifier's performance in identifying the use of loaded language effectively, addressing the observed false positives and false negatives is crucial. Here are some tailored classification guidelines you can follow:

### Guidelines for Identifying Loaded Language

1. **Understand Emotional Connotations**:
   - Loaded language often contains words or phrases that evoke strong emotions (anger, fear, pride, hope). It is essential to focus on the emotional valence of specific words rather than their dictionary definitions.
   - Words like "aggression," "oppression," "hero," "struggle," "victories," or "tyranny" carry significant emotional weight. Identify and flag such emotions in the context compared to neutral language.

2. **Context Matters**:
   - Evaluate the context in which words are used. For example, "responsibility" might be neutral in some contexts but might turn charged when discussing obligation in a war scenario.
   - Understand idiomatic expressions or phrases that may sound neutral but hold connotations in a specific context (e.g., "defend," "combat," "struggle for freedom").

3. **Identify Power Dynamics**:
   - Loaded language often reflects power dynamics, such as terms that undermine opponents or elevate allies. Look for language that labels individuals or groups negatively (e.g., "occupied" vs. "liberated").
   - Watch for descriptors that reinforce or challenge authority, such as "heroic" for allied forces or "tyrants" for opposing ones.

4. **Differentiate Between Facts and Narrative**:
   - Loaded language usually blends factual statements with subjective judgment or a narrative. Distinguish pure facts from interpretative statements.
   - Avoid flagging statements that are purely factual (like citing a number of casualties) unless accompanied by a subjective or emotional angle.

5. **Watch Out for Hyperbole**:
   - Loaded language can include exaggerated statements used for emphasis. Phrases like "massive loss," "unprecedented destruction," or "complete victory" can evoke strong emotional responses.
   - Identify potential hyperboles that shift the tone of the text dramatically.

6. **Recognize Patterned Language**:
   - Identify recurring phrases or terms that express similar sentiments across various documents. Loaded language often follows a pattern in how certain ideas are framed (e.g., "sacrificing for freedom").
   - Use linguistic analysis tools to detect common phrases associated with loaded language.

7. **Test for Binary Classification**:
   - Implement a system that categorizes phrases as either loaded language or neutral based on their emotional impact. Use a manual review process for ambiguous cases where AI misclassifies critical language as neutral.
   - For example, if a document states, "The soldiers bravely defended the city while facing overwhelming odds," flag it as loaded due to the valorisation of soldiers.

### Addressing False Negatives
- Pay close attention to phrases that may appear neutral but are contextually important for the overall sentiment (e.g., "The need for defense equipment is crucial during this time").
- Analyze statements that reference significant events, tragedies, or losses but are framed neutrally, as they can carry emotional weight in specific contexts.

### Addressing False Positives
- Implement rules or heuristics to detect and filter out terms that are commonly used in legal or military discourse without emotive connotations (like "responsibility" or "mobilization").
- Use more specific contextual cues by analyzing surrounding language to ensure a more refined understanding of potential loaded versus neutral expressions.

By focusing on these guidelines, you can enhance your classifier to more accurately detect loaded language while reducing the misclassification of terms that appear impartial. It's a combination of nuanced linguistic analysis and sensitivity to context that will yield better results.

[User]
Цей текст мені надіслала людина, яка працює в державній структурі. Попросив не називати його прізвища, але дозволив оприлюднити його комент
.
Сталін намагався особисто планувати військові операції, і це призвело майже до програшу СРСР. Поки Сталін не дав військовим виконувати свою роботу, взагалі нічого не виходило окрім втрат. Зеленський через переляк на початку війни віддав можливість займатись питаннями війни - військовим, а сам зайнявся міжнародною політикою. Міжнародну складову майже просрали, і тому з'явився час і натхнення займатись війною. Це я до чого? Що настане знову час боятися Зе, але не факт, що знову знайдуться такі ресурси, і з війною Зе зробить, як з міжнародною політикою. Справа не в Залужному, справа в тому, що перемога - це спільні зусилля професіоналів, а рояль нажаль в штаб не привезли.(с)


[System]
You are an expert in the loaded_language manipulation technique. Loaded Language: Employs strongly emotional or charged words to sway opinion. List phrases that provide evidence of loaded_language in the given sentence if they are present. Given the evidence, make a judgement whether the sentence contains the loaded_language manipulation.
To improve the classifier's performance in identifying the use of loaded language effectively, addressing the observed false positives and false negatives is crucial. Here are some tailored classification guidelines you can follow:

### Guidelines for Identifying Loaded Language

1. **Understand Emotional Connotations**:
   - Loaded language often contains words or phrases that evoke strong emotions (anger, fear, pride, hope). It is essential to focus on the emotional valence of specific words rather than their dictionary definitions.
   - Words like "aggression," "oppression," "hero," "struggle," "victories," or "tyranny" carry significant emotional weight. Identify and flag such emotions in the context compared to neutral language.

2. **Context Matters**:
   - Evaluate the context in which words are used. For example, "responsibility" might be neutral in some contexts but might turn charged when discussing obligation in a war scenario.
   - Understand idiomatic expressions or phrases that may sound neutral but hold connotations in a specific context (e.g., "defend," "combat," "struggle for freedom").

3. **Identify Power Dynamics**:
   - Loaded language often reflects power dynamics, such as terms that undermine opponents or elevate allies. Look for language that labels individuals or groups negatively (e.g., "occupied" vs. "liberated").
   - Watch for descriptors that reinforce or challenge authority, such as "heroic" for allied forces or "tyrants" for opposing ones.

4. **Differentiate Between Facts and Narrative**:
   - Loaded language usually blends factual statements with subjective judgment or a narrative. Distinguish pure facts from interpretative statements.
   - Avoid flagging statements that are purely factual (like citing a number of casualties) unless accompanied by a subjective or emotional angle.

5. **Watch Out for Hyperbole**:
   - Loaded language can include exaggerated statements used for emphasis. Phrases like "massive loss," "unprecedented destruction," or "complete victory" can evoke strong emotional responses.
   - Identify potential hyperboles that shift the tone of the text dramatically.

6. **Recognize Patterned Language**:
   - Identify recurring phrases or terms that express similar sentiments across various documents. Loaded language often follows a pattern in how certain ideas are framed (e.g., "sacrificing for freedom").
   - Use linguistic analysis tools to detect common phrases associated with loaded language.

7. **Test for Binary Classification**:
   - Implement a system that categorizes phrases as either loaded language or neutral based on their emotional impact. Use a manual review process for ambiguous cases where AI misclassifies critical language as neutral.
   - For example, if a document states, "The soldiers bravely defended the city while facing overwhelming odds," flag it as loaded due to the valorisation of soldiers.

### Addressing False Negatives
- Pay close attention to phrases that may appear neutral but are contextually important for the overall sentiment (e.g., "The need for defense equipment is crucial during this time").
- Analyze statements that reference significant events, tragedies, or losses but are framed neutrally, as they can carry emotional weight in specific contexts.

### Addressing False Positives
- Implement rules or heuristics to detect and filter out terms that are commonly used in legal or military discourse without emotive connotations (like "responsibility" or "mobilization").
- Use more specific contextual cues by analyzing surrounding language to ensure a more refined understanding of potential loaded versus neutral expressions.

By focusing on these guidelines, you can enhance your classifier to more accurately detect loaded language while reducing the misclassification of terms that appear impartial. It's a combination of nuanced linguistic analysis and sensitivity to context that will yield better results.

[User]
#США

#ГудбайАмерика

#Позорище
⚡
🇺🇸
⚡
К США семимильными шагами приближается ТУПОКРАТИЯ
❗
Новые данные по вступительным тестам ACT (American College Testing, «Американское тестирование» в колледж) показывают, что баллы старшеклассников упали до самого низкого уровня более чем за три десятилетия.
Около 1,4 миллиона старшеклассников сдали тест ACT, и ТОЛЬКО 21% из них, соответствовали контрольным показателям по предметам колледжа. А шокирующие 43% не соответствовали ни одному из этих критериев.
Согласно данным опубликованным ACT, средний сводный балл по тесту ACT снизился до 19,5 для класса 2023 года, что на 0,3 балла меньше, чем в 2022 году. Средние баллы по математике, чтению и естественным предметам оказались ниже контрольных показателей готовности к поступлению в колледж.
Но, эта болезнь не только в США. Упрощение систем образования, либерализм, тикток мышление, отсутствие элементарных знаний, низкая культура общения характерна для большинства стран Евросоюза
❗


[System]
You are an expert in the loaded_language manipulation technique. Loaded Language: Employs strongly emotional or charged words to sway opinion. List phrases that provide evidence of loaded_language in the given sentence if they are present. Given the evidence, make a judgement whether the sentence contains the loaded_language manipulation.
To improve the classifier's performance in identifying the use of loaded language effectively, addressing the observed false positives and false negatives is crucial. Here are some tailored classification guidelines you can follow:

### Guidelines for Identifying Loaded Language

1. **Understand Emotional Connotations**:
   - Loaded language often contains words or phrases that evoke strong emotions (anger, fear, pride, hope). It is essential to focus on the emotional valence of specific words rather than their dictionary definitions.
   - Words like "aggression," "oppression," "hero," "struggle," "victories," or "tyranny" carry significant emotional weight. Identify and flag such emotions in the context compared to neutral language.

2. **Context Matters**:
   - Evaluate the context in which words are used. For example, "responsibility" might be neutral in some contexts but might turn charged when discussing obligation in a war scenario.
   - Understand idiomatic expressions or phrases that may sound neutral but hold connotations in a specific context (e.g., "defend," "combat," "struggle for freedom").

3. **Identify Power Dynamics**:
   - Loaded language often reflects power dynamics, such as terms that undermine opponents or elevate allies. Look for language that labels individuals or groups negatively (e.g., "occupied" vs. "liberated").
   - Watch for descriptors that reinforce or challenge authority, such as "heroic" for allied forces or "tyrants" for opposing ones.

4. **Differentiate Between Facts and Narrative**:
   - Loaded language usually blends factual statements with subjective judgment or a narrative. Distinguish pure facts from interpretative statements.
   - Avoid flagging statements that are purely factual (like citing a number of casualties) unless accompanied by a subjective or emotional angle.

5. **Watch Out for Hyperbole**:
   - Loaded language can include exaggerated statements used for emphasis. Phrases like "massive loss," "unprecedented destruction," or "complete victory" can evoke strong emotional responses.
   - Identify potential hyperboles that shift the tone of the text dramatically.

6. **Recognize Patterned Language**:
   - Identify recurring phrases or terms that express similar sentiments across various documents. Loaded language often follows a pattern in how certain ideas are framed (e.g., "sacrificing for freedom").
   - Use linguistic analysis tools to detect common phrases associated with loaded language.

7. **Test for Binary Classification**:
   - Implement a system that categorizes phrases as either loaded language or neutral based on their emotional impact. Use a manual review process for ambiguous cases where AI misclassifies critical language as neutral.
   - For example, if a document states, "The soldiers bravely defended the city while facing overwhelming odds," flag it as loaded due to the valorisation of soldiers.

### Addressing False Negatives
- Pay close attention to phrases that may appear neutral but are contextually important for the overall sentiment (e.g., "The need for defense equipment is crucial during this time").
- Analyze statements that reference significant events, tragedies, or losses but are framed neutrally, as they can carry emotional weight in specific contexts.

### Addressing False Positives
- Implement rules or heuristics to detect and filter out terms that are commonly used in legal or military discourse without emotive connotations (like "responsibility" or "mobilization").
- Use more specific contextual cues by analyzing surrounding language to ensure a more refined understanding of potential loaded versus neutral expressions.

By focusing on these guidelines, you can enhance your classifier to more accurately detect loaded language while reducing the misclassification of terms that appear impartial. It's a combination of nuanced linguistic analysis and sensitivity to context that will yield better results.

[User]
В украинской псевдопрессе начали выходить материалы о том, что ничего страшного в военкоматах нет
Если вы туда пойдете, добрый военкомы если найдут у вас сахарный диабет - попросят сидеть дома и лечиться
😄


[System]
You are an expert in the loaded_language manipulation technique. Loaded Language: Employs strongly emotional or charged words to sway opinion. List phrases that provide evidence of loaded_language in the given sentence if they are present. Given the evidence, make a judgement whether the sentence contains the loaded_language manipulation.
To improve the classifier's performance in identifying the use of loaded language effectively, addressing the observed false positives and false negatives is crucial. Here are some tailored classification guidelines you can follow:

### Guidelines for Identifying Loaded Language

1. **Understand Emotional Connotations**:
   - Loaded language often contains words or phrases that evoke strong emotions (anger, fear, pride, hope). It is essential to focus on the emotional valence of specific words rather than their dictionary definitions.
   - Words like "aggression," "oppression," "hero," "struggle," "victories," or "tyranny" carry significant emotional weight. Identify and flag such emotions in the context compared to neutral language.

2. **Context Matters**:
   - Evaluate the context in which words are used. For example, "responsibility" might be neutral in some contexts but might turn charged when discussing obligation in a war scenario.
   - Understand idiomatic expressions or phrases that may sound neutral but hold connotations in a specific context (e.g., "defend," "combat," "struggle for freedom").

3. **Identify Power Dynamics**:
   - Loaded language often reflects power dynamics, such as terms that undermine opponents or elevate allies. Look for language that labels individuals or groups negatively (e.g., "occupied" vs. "liberated").
   - Watch for descriptors that reinforce or challenge authority, such as "heroic" for allied forces or "tyrants" for opposing ones.

4. **Differentiate Between Facts and Narrative**:
   - Loaded language usually blends factual statements with subjective judgment or a narrative. Distinguish pure facts from interpretative statements.
   - Avoid flagging statements that are purely factual (like citing a number of casualties) unless accompanied by a subjective or emotional angle.

5. **Watch Out for Hyperbole**:
   - Loaded language can include exaggerated statements used for emphasis. Phrases like "massive loss," "unprecedented destruction," or "complete victory" can evoke strong emotional responses.
   - Identify potential hyperboles that shift the tone of the text dramatically.

6. **Recognize Patterned Language**:
   - Identify recurring phrases or terms that express similar sentiments across various documents. Loaded language often follows a pattern in how certain ideas are framed (e.g., "sacrificing for freedom").
   - Use linguistic analysis tools to detect common phrases associated with loaded language.

7. **Test for Binary Classification**:
   - Implement a system that categorizes phrases as either loaded language or neutral based on their emotional impact. Use a manual review process for ambiguous cases where AI misclassifies critical language as neutral.
   - For example, if a document states, "The soldiers bravely defended the city while facing overwhelming odds," flag it as loaded due to the valorisation of soldiers.

### Addressing False Negatives
- Pay close attention to phrases that may appear neutral but are contextually important for the overall sentiment (e.g., "The need for defense equipment is crucial during this time").
- Analyze statements that reference significant events, tragedies, or losses but are framed neutrally, as they can carry emotional weight in specific contexts.

### Addressing False Positives
- Implement rules or heuristics to detect and filter out terms that are commonly used in legal or military discourse without emotive connotations (like "responsibility" or "mobilization").
- Use more specific contextual cues by analyzing surrounding language to ensure a more refined understanding of potential loaded versus neutral expressions.

By focusing on these guidelines, you can enhance your classifier to more accurately detect loaded language while reducing the misclassification of terms that appear impartial. It's a combination of nuanced linguistic analysis and sensitivity to context that will yield better results.

[User]
#Европа

#Израиль

#Палестина
⚡
⚡
⚡
НЕОЖИДАННО
❗
СМЕНА ПОВЕСТОЧКИ
❗

Единством арабского мира не могли не воспользоваться хитрозадые политики Европы. Первый пошёл. Вернее, пошла.
Министр по социальным правам Испании и лидер партии «Подемос» Ионе Беллара
 обвинила Израиль в геноциде палестинцев и призвала отправить Нетаньяху в Гаагский трибунал.
Круто, конечно. Ничего не скажешь.
Но, если у кого-то возникли симпатии к этой министерше — то напрасно. Плевать она хотела на палестинцев, евреев и прочих аборигенов. Таким заявлением она просто работает на свой рейтинг, трезво рассчитав настроение электората, огромную часть которого в Испании составляют мусульмане. И, с учётом, что она не одна такая хитрая, призывы к суду над Нетаньяху будут звучать всё чаще и громче (тем более его в Европе и так не любили). Байден его тоже терпеть не может. Вообщем, процесс запущен. Покупаем попкорн!


[System]
You are an expert in the loaded_language manipulation technique. Loaded Language: Employs strongly emotional or charged words to sway opinion. List phrases that provide evidence of loaded_language in the given sentence if they are present. Given the evidence, make a judgement whether the sentence contains the loaded_language manipulation.
To improve the classifier's performance in identifying the use of loaded language effectively, addressing the observed false positives and false negatives is crucial. Here are some tailored classification guidelines you can follow:

### Guidelines for Identifying Loaded Language

1. **Understand Emotional Connotations**:
   - Loaded language often contains words or phrases that evoke strong emotions (anger, fear, pride, hope). It is essential to focus on the emotional valence of specific words rather than their dictionary definitions.
   - Words like "aggression," "oppression," "hero," "struggle," "victories," or "tyranny" carry significant emotional weight. Identify and flag such emotions in the context compared to neutral language.

2. **Context Matters**:
   - Evaluate the context in which words are used. For example, "responsibility" might be neutral in some contexts but might turn charged when discussing obligation in a war scenario.
   - Understand idiomatic expressions or phrases that may sound neutral but hold connotations in a specific context (e.g., "defend," "combat," "struggle for freedom").

3. **Identify Power Dynamics**:
   - Loaded language often reflects power dynamics, such as terms that undermine opponents or elevate allies. Look for language that labels individuals or groups negatively (e.g., "occupied" vs. "liberated").
   - Watch for descriptors that reinforce or challenge authority, such as "heroic" for allied forces or "tyrants" for opposing ones.

4. **Differentiate Between Facts and Narrative**:
   - Loaded language usually blends factual statements with subjective judgment or a narrative. Distinguish pure facts from interpretative statements.
   - Avoid flagging statements that are purely factual (like citing a number of casualties) unless accompanied by a subjective or emotional angle.

5. **Watch Out for Hyperbole**:
   - Loaded language can include exaggerated statements used for emphasis. Phrases like "massive loss," "unprecedented destruction," or "complete victory" can evoke strong emotional responses.
   - Identify potential hyperboles that shift the tone of the text dramatically.

6. **Recognize Patterned Language**:
   - Identify recurring phrases or terms that express similar sentiments across various documents. Loaded language often follows a pattern in how certain ideas are framed (e.g., "sacrificing for freedom").
   - Use linguistic analysis tools to detect common phrases associated with loaded language.

7. **Test for Binary Classification**:
   - Implement a system that categorizes phrases as either loaded language or neutral based on their emotional impact. Use a manual review process for ambiguous cases where AI misclassifies critical language as neutral.
   - For example, if a document states, "The soldiers bravely defended the city while facing overwhelming odds," flag it as loaded due to the valorisation of soldiers.

### Addressing False Negatives
- Pay close attention to phrases that may appear neutral but are contextually important for the overall sentiment (e.g., "The need for defense equipment is crucial during this time").
- Analyze statements that reference significant events, tragedies, or losses but are framed neutrally, as they can carry emotional weight in specific contexts.

### Addressing False Positives
- Implement rules or heuristics to detect and filter out terms that are commonly used in legal or military discourse without emotive connotations (like "responsibility" or "mobilization").
- Use more specific contextual cues by analyzing surrounding language to ensure a more refined understanding of potential loaded versus neutral expressions.

By focusing on these guidelines, you can enhance your classifier to more accurately detect loaded language while reducing the misclassification of terms that appear impartial. It's a combination of nuanced linguistic analysis and sensitivity to context that will yield better results.

[User]
Енергоблок №5 ЗАЕС потрібно негайно перевести у стан "холодний зупин" - Олег Коріков
https://youtu.be/IKB7PJ1bBD0


[System]
You are an expert in the loaded_language manipulation technique. Loaded Language: Employs strongly emotional or charged words to sway opinion. List phrases that provide evidence of loaded_language in the given sentence if they are present. Given the evidence, make a judgement whether the sentence contains the loaded_language manipulation.
To improve the classifier's performance in identifying the use of loaded language effectively, addressing the observed false positives and false negatives is crucial. Here are some tailored classification guidelines you can follow:

### Guidelines for Identifying Loaded Language

1. **Understand Emotional Connotations**:
   - Loaded language often contains words or phrases that evoke strong emotions (anger, fear, pride, hope). It is essential to focus on the emotional valence of specific words rather than their dictionary definitions.
   - Words like "aggression," "oppression," "hero," "struggle," "victories," or "tyranny" carry significant emotional weight. Identify and flag such emotions in the context compared to neutral language.

2. **Context Matters**:
   - Evaluate the context in which words are used. For example, "responsibility" might be neutral in some contexts but might turn charged when discussing obligation in a war scenario.
   - Understand idiomatic expressions or phrases that may sound neutral but hold connotations in a specific context (e.g., "defend," "combat," "struggle for freedom").

3. **Identify Power Dynamics**:
   - Loaded language often reflects power dynamics, such as terms that undermine opponents or elevate allies. Look for language that labels individuals or groups negatively (e.g., "occupied" vs. "liberated").
   - Watch for descriptors that reinforce or challenge authority, such as "heroic" for allied forces or "tyrants" for opposing ones.

4. **Differentiate Between Facts and Narrative**:
   - Loaded language usually blends factual statements with subjective judgment or a narrative. Distinguish pure facts from interpretative statements.
   - Avoid flagging statements that are purely factual (like citing a number of casualties) unless accompanied by a subjective or emotional angle.

5. **Watch Out for Hyperbole**:
   - Loaded language can include exaggerated statements used for emphasis. Phrases like "massive loss," "unprecedented destruction," or "complete victory" can evoke strong emotional responses.
   - Identify potential hyperboles that shift the tone of the text dramatically.

6. **Recognize Patterned Language**:
   - Identify recurring phrases or terms that express similar sentiments across various documents. Loaded language often follows a pattern in how certain ideas are framed (e.g., "sacrificing for freedom").
   - Use linguistic analysis tools to detect common phrases associated with loaded language.

7. **Test for Binary Classification**:
   - Implement a system that categorizes phrases as either loaded language or neutral based on their emotional impact. Use a manual review process for ambiguous cases where AI misclassifies critical language as neutral.
   - For example, if a document states, "The soldiers bravely defended the city while facing overwhelming odds," flag it as loaded due to the valorisation of soldiers.

### Addressing False Negatives
- Pay close attention to phrases that may appear neutral but are contextually important for the overall sentiment (e.g., "The need for defense equipment is crucial during this time").
- Analyze statements that reference significant events, tragedies, or losses but are framed neutrally, as they can carry emotional weight in specific contexts.

### Addressing False Positives
- Implement rules or heuristics to detect and filter out terms that are commonly used in legal or military discourse without emotive connotations (like "responsibility" or "mobilization").
- Use more specific contextual cues by analyzing surrounding language to ensure a more refined understanding of potential loaded versus neutral expressions.

By focusing on these guidelines, you can enhance your classifier to more accurately detect loaded language while reducing the misclassification of terms that appear impartial. It's a combination of nuanced linguistic analysis and sensitivity to context that will yield better results.

[User]
ПЗДЦ! Тип ушатал подругу с одного удара
😱
Такие семейные разборки на Болгарской. Судя по швабре, решали кто сегодня будет убираться.
Ссылка на канал
⚡
https://t.me/+mALIsF2rQJI4ODFi

Присылайте новости анонимно мне
👉🏻

@truexaodesasend_bot


[System]
You are an expert in the loaded_language manipulation technique. Loaded Language: Employs strongly emotional or charged words to sway opinion. List phrases that provide evidence of loaded_language in the given sentence if they are present. Given the evidence, make a judgement whether the sentence contains the loaded_language manipulation.
To improve the classifier's performance in identifying the use of loaded language effectively, addressing the observed false positives and false negatives is crucial. Here are some tailored classification guidelines you can follow:

### Guidelines for Identifying Loaded Language

1. **Understand Emotional Connotations**:
   - Loaded language often contains words or phrases that evoke strong emotions (anger, fear, pride, hope). It is essential to focus on the emotional valence of specific words rather than their dictionary definitions.
   - Words like "aggression," "oppression," "hero," "struggle," "victories," or "tyranny" carry significant emotional weight. Identify and flag such emotions in the context compared to neutral language.

2. **Context Matters**:
   - Evaluate the context in which words are used. For example, "responsibility" might be neutral in some contexts but might turn charged when discussing obligation in a war scenario.
   - Understand idiomatic expressions or phrases that may sound neutral but hold connotations in a specific context (e.g., "defend," "combat," "struggle for freedom").

3. **Identify Power Dynamics**:
   - Loaded language often reflects power dynamics, such as terms that undermine opponents or elevate allies. Look for language that labels individuals or groups negatively (e.g., "occupied" vs. "liberated").
   - Watch for descriptors that reinforce or challenge authority, such as "heroic" for allied forces or "tyrants" for opposing ones.

4. **Differentiate Between Facts and Narrative**:
   - Loaded language usually blends factual statements with subjective judgment or a narrative. Distinguish pure facts from interpretative statements.
   - Avoid flagging statements that are purely factual (like citing a number of casualties) unless accompanied by a subjective or emotional angle.

5. **Watch Out for Hyperbole**:
   - Loaded language can include exaggerated statements used for emphasis. Phrases like "massive loss," "unprecedented destruction," or "complete victory" can evoke strong emotional responses.
   - Identify potential hyperboles that shift the tone of the text dramatically.

6. **Recognize Patterned Language**:
   - Identify recurring phrases or terms that express similar sentiments across various documents. Loaded language often follows a pattern in how certain ideas are framed (e.g., "sacrificing for freedom").
   - Use linguistic analysis tools to detect common phrases associated with loaded language.

7. **Test for Binary Classification**:
   - Implement a system that categorizes phrases as either loaded language or neutral based on their emotional impact. Use a manual review process for ambiguous cases where AI misclassifies critical language as neutral.
   - For example, if a document states, "The soldiers bravely defended the city while facing overwhelming odds," flag it as loaded due to the valorisation of soldiers.

### Addressing False Negatives
- Pay close attention to phrases that may appear neutral but are contextually important for the overall sentiment (e.g., "The need for defense equipment is crucial during this time").
- Analyze statements that reference significant events, tragedies, or losses but are framed neutrally, as they can carry emotional weight in specific contexts.

### Addressing False Positives
- Implement rules or heuristics to detect and filter out terms that are commonly used in legal or military discourse without emotive connotations (like "responsibility" or "mobilization").
- Use more specific contextual cues by analyzing surrounding language to ensure a more refined understanding of potential loaded versus neutral expressions.

By focusing on these guidelines, you can enhance your classifier to more accurately detect loaded language while reducing the misclassification of terms that appear impartial. It's a combination of nuanced linguistic analysis and sensitivity to context that will yield better results.

[User]
🤔

Чи впевнені ви, що вступаєте у дискусії в коментарях з реальною людиною?
росіяни створили армію ботів, щоби сіяти «зраду» серед українців про Бахмут та ЗСУ.
Центр стратегічних комунікацій (SPRAVDI) разом з
@afustratcom
 відстежили, як працює ця схема і як ботам роздають завдання
🔍
Які меседжі просувають пропагандисти? Як працюють російські боти?
А ще — будьте пильними та не ведіться на «зраду» під постами, завжди думайте, кому вона може бути вигідна
☝🏻
Центр стратегічних комунікацій та інформаційної безпеки
📲

Telegram
 /
Facebook
 /
Сайт
 /
Instagram
 /
Twitter


[System]
You are an expert in the loaded_language manipulation technique. Loaded Language: Employs strongly emotional or charged words to sway opinion. List phrases that provide evidence of loaded_language in the given sentence if they are present. Given the evidence, make a judgement whether the sentence contains the loaded_language manipulation.
To improve the classifier's performance in identifying the use of loaded language effectively, addressing the observed false positives and false negatives is crucial. Here are some tailored classification guidelines you can follow:

### Guidelines for Identifying Loaded Language

1. **Understand Emotional Connotations**:
   - Loaded language often contains words or phrases that evoke strong emotions (anger, fear, pride, hope). It is essential to focus on the emotional valence of specific words rather than their dictionary definitions.
   - Words like "aggression," "oppression," "hero," "struggle," "victories," or "tyranny" carry significant emotional weight. Identify and flag such emotions in the context compared to neutral language.

2. **Context Matters**:
   - Evaluate the context in which words are used. For example, "responsibility" might be neutral in some contexts but might turn charged when discussing obligation in a war scenario.
   - Understand idiomatic expressions or phrases that may sound neutral but hold connotations in a specific context (e.g., "defend," "combat," "struggle for freedom").

3. **Identify Power Dynamics**:
   - Loaded language often reflects power dynamics, such as terms that undermine opponents or elevate allies. Look for language that labels individuals or groups negatively (e.g., "occupied" vs. "liberated").
   - Watch for descriptors that reinforce or challenge authority, such as "heroic" for allied forces or "tyrants" for opposing ones.

4. **Differentiate Between Facts and Narrative**:
   - Loaded language usually blends factual statements with subjective judgment or a narrative. Distinguish pure facts from interpretative statements.
   - Avoid flagging statements that are purely factual (like citing a number of casualties) unless accompanied by a subjective or emotional angle.

5. **Watch Out for Hyperbole**:
   - Loaded language can include exaggerated statements used for emphasis. Phrases like "massive loss," "unprecedented destruction," or "complete victory" can evoke strong emotional responses.
   - Identify potential hyperboles that shift the tone of the text dramatically.

6. **Recognize Patterned Language**:
   - Identify recurring phrases or terms that express similar sentiments across various documents. Loaded language often follows a pattern in how certain ideas are framed (e.g., "sacrificing for freedom").
   - Use linguistic analysis tools to detect common phrases associated with loaded language.

7. **Test for Binary Classification**:
   - Implement a system that categorizes phrases as either loaded language or neutral based on their emotional impact. Use a manual review process for ambiguous cases where AI misclassifies critical language as neutral.
   - For example, if a document states, "The soldiers bravely defended the city while facing overwhelming odds," flag it as loaded due to the valorisation of soldiers.

### Addressing False Negatives
- Pay close attention to phrases that may appear neutral but are contextually important for the overall sentiment (e.g., "The need for defense equipment is crucial during this time").
- Analyze statements that reference significant events, tragedies, or losses but are framed neutrally, as they can carry emotional weight in specific contexts.

### Addressing False Positives
- Implement rules or heuristics to detect and filter out terms that are commonly used in legal or military discourse without emotive connotations (like "responsibility" or "mobilization").
- Use more specific contextual cues by analyzing surrounding language to ensure a more refined understanding of potential loaded versus neutral expressions.

By focusing on these guidelines, you can enhance your classifier to more accurately detect loaded language while reducing the misclassification of terms that appear impartial. It's a combination of nuanced linguistic analysis and sensitivity to context that will yield better results.

[User]
Встреча на Саур-Могиле
.
Частица  Вечного огня,  взятой  у Могилы Неизвестного Солдата у Кремлевской стены в Александровском саду доставлена  на Саур-Могилу.
Рад был теплой встрече и приветствовать на нашей героической земле
депутата ГД России Тайсаева Казбека Куцуковича, заслуженного  артиста России Дмитрия Дунаева, Героя России Алексея Махотина, депутата  Государственной Думы от центрального округа Москвы Олега Юрьевича Леонова, Президента всероссийского мотодвижения «Родина», доставившего частицу Вечного огня на Саур-Могилу  Станислава Бржевского.
В этот важный, памятный, праздничный  для нас день хочу процитировать первого Главу ДНР Александра  Владимировича Захарченко:

«
Мы помним о подвиге наших предков, и выполним заветы наших дедов. Мы не дадим врагу захватить нашу Родину, и выбьем оккупантов с нашей земли. Победа будет за нами!
»
Помним! Мы победим!

#Россия

#Донбасс

#НовыеЛюди

#Москва

#ДНР

#ЛНР

#СаурМогила
Подписаться


[System]
You are an expert in the loaded_language manipulation technique. Loaded Language: Employs strongly emotional or charged words to sway opinion. List phrases that provide evidence of loaded_language in the given sentence if they are present. Given the evidence, make a judgement whether the sentence contains the loaded_language manipulation.
To improve the classifier's performance in identifying the use of loaded language effectively, addressing the observed false positives and false negatives is crucial. Here are some tailored classification guidelines you can follow:

### Guidelines for Identifying Loaded Language

1. **Understand Emotional Connotations**:
   - Loaded language often contains words or phrases that evoke strong emotions (anger, fear, pride, hope). It is essential to focus on the emotional valence of specific words rather than their dictionary definitions.
   - Words like "aggression," "oppression," "hero," "struggle," "victories," or "tyranny" carry significant emotional weight. Identify and flag such emotions in the context compared to neutral language.

2. **Context Matters**:
   - Evaluate the context in which words are used. For example, "responsibility" might be neutral in some contexts but might turn charged when discussing obligation in a war scenario.
   - Understand idiomatic expressions or phrases that may sound neutral but hold connotations in a specific context (e.g., "defend," "combat," "struggle for freedom").

3. **Identify Power Dynamics**:
   - Loaded language often reflects power dynamics, such as terms that undermine opponents or elevate allies. Look for language that labels individuals or groups negatively (e.g., "occupied" vs. "liberated").
   - Watch for descriptors that reinforce or challenge authority, such as "heroic" for allied forces or "tyrants" for opposing ones.

4. **Differentiate Between Facts and Narrative**:
   - Loaded language usually blends factual statements with subjective judgment or a narrative. Distinguish pure facts from interpretative statements.
   - Avoid flagging statements that are purely factual (like citing a number of casualties) unless accompanied by a subjective or emotional angle.

5. **Watch Out for Hyperbole**:
   - Loaded language can include exaggerated statements used for emphasis. Phrases like "massive loss," "unprecedented destruction," or "complete victory" can evoke strong emotional responses.
   - Identify potential hyperboles that shift the tone of the text dramatically.

6. **Recognize Patterned Language**:
   - Identify recurring phrases or terms that express similar sentiments across various documents. Loaded language often follows a pattern in how certain ideas are framed (e.g., "sacrificing for freedom").
   - Use linguistic analysis tools to detect common phrases associated with loaded language.

7. **Test for Binary Classification**:
   - Implement a system that categorizes phrases as either loaded language or neutral based on their emotional impact. Use a manual review process for ambiguous cases where AI misclassifies critical language as neutral.
   - For example, if a document states, "The soldiers bravely defended the city while facing overwhelming odds," flag it as loaded due to the valorisation of soldiers.

### Addressing False Negatives
- Pay close attention to phrases that may appear neutral but are contextually important for the overall sentiment (e.g., "The need for defense equipment is crucial during this time").
- Analyze statements that reference significant events, tragedies, or losses but are framed neutrally, as they can carry emotional weight in specific contexts.

### Addressing False Positives
- Implement rules or heuristics to detect and filter out terms that are commonly used in legal or military discourse without emotive connotations (like "responsibility" or "mobilization").
- Use more specific contextual cues by analyzing surrounding language to ensure a more refined understanding of potential loaded versus neutral expressions.

By focusing on these guidelines, you can enhance your classifier to more accurately detect loaded language while reducing the misclassification of terms that appear impartial. It's a combination of nuanced linguistic analysis and sensitivity to context that will yield better results.

[User]
ДТЕК заробив МІЛЬЯРД на електроенергії за березень цього року
🤬
Ахметов купує на ринку цю
електроенергію
 по одній копійці за мегават на годину. Потім продає її споживачам за ринковою ціною — близько 3000 грн/МВт·год.
Це вже дає підказку, що восени нас знов очікують планові відключення, розповідаючи казки про ракети. При цьому Ахметов буде вже заробляти як мінімум 3-4 мільярди.
У мене лише одне питання — чому це досі продовжується? Обікрали всю країну і далі продовжують це робити!
Русский Корабль Иди… |

Надіслати новину


[System]
You are an expert in the loaded_language manipulation technique. Loaded Language: Employs strongly emotional or charged words to sway opinion. List phrases that provide evidence of loaded_language in the given sentence if they are present. Given the evidence, make a judgement whether the sentence contains the loaded_language manipulation.
To improve the classifier's performance in identifying the use of loaded language effectively, addressing the observed false positives and false negatives is crucial. Here are some tailored classification guidelines you can follow:

### Guidelines for Identifying Loaded Language

1. **Understand Emotional Connotations**:
   - Loaded language often contains words or phrases that evoke strong emotions (anger, fear, pride, hope). It is essential to focus on the emotional valence of specific words rather than their dictionary definitions.
   - Words like "aggression," "oppression," "hero," "struggle," "victories," or "tyranny" carry significant emotional weight. Identify and flag such emotions in the context compared to neutral language.

2. **Context Matters**:
   - Evaluate the context in which words are used. For example, "responsibility" might be neutral in some contexts but might turn charged when discussing obligation in a war scenario.
   - Understand idiomatic expressions or phrases that may sound neutral but hold connotations in a specific context (e.g., "defend," "combat," "struggle for freedom").

3. **Identify Power Dynamics**:
   - Loaded language often reflects power dynamics, such as terms that undermine opponents or elevate allies. Look for language that labels individuals or groups negatively (e.g., "occupied" vs. "liberated").
   - Watch for descriptors that reinforce or challenge authority, such as "heroic" for allied forces or "tyrants" for opposing ones.

4. **Differentiate Between Facts and Narrative**:
   - Loaded language usually blends factual statements with subjective judgment or a narrative. Distinguish pure facts from interpretative statements.
   - Avoid flagging statements that are purely factual (like citing a number of casualties) unless accompanied by a subjective or emotional angle.

5. **Watch Out for Hyperbole**:
   - Loaded language can include exaggerated statements used for emphasis. Phrases like "massive loss," "unprecedented destruction," or "complete victory" can evoke strong emotional responses.
   - Identify potential hyperboles that shift the tone of the text dramatically.

6. **Recognize Patterned Language**:
   - Identify recurring phrases or terms that express similar sentiments across various documents. Loaded language often follows a pattern in how certain ideas are framed (e.g., "sacrificing for freedom").
   - Use linguistic analysis tools to detect common phrases associated with loaded language.

7. **Test for Binary Classification**:
   - Implement a system that categorizes phrases as either loaded language or neutral based on their emotional impact. Use a manual review process for ambiguous cases where AI misclassifies critical language as neutral.
   - For example, if a document states, "The soldiers bravely defended the city while facing overwhelming odds," flag it as loaded due to the valorisation of soldiers.

### Addressing False Negatives
- Pay close attention to phrases that may appear neutral but are contextually important for the overall sentiment (e.g., "The need for defense equipment is crucial during this time").
- Analyze statements that reference significant events, tragedies, or losses but are framed neutrally, as they can carry emotional weight in specific contexts.

### Addressing False Positives
- Implement rules or heuristics to detect and filter out terms that are commonly used in legal or military discourse without emotive connotations (like "responsibility" or "mobilization").
- Use more specific contextual cues by analyzing surrounding language to ensure a more refined understanding of potential loaded versus neutral expressions.

By focusing on these guidelines, you can enhance your classifier to more accurately detect loaded language while reducing the misclassification of terms that appear impartial. It's a combination of nuanced linguistic analysis and sensitivity to context that will yield better results.

[User] Болгары восхитились)) а платить придется)) кацапня воет, а я предупреждал )) Жрите, тот случай, когда когда за поддержку рахи придется платить со своих))


[System]
You are an expert in the loaded_language manipulation technique. Loaded Language: Employs strongly emotional or charged words to sway opinion. List phrases that provide evidence of loaded_language in the given sentence if they are present. Given the evidence, make a judgement whether the sentence contains the loaded_language manipulation.
To improve the classifier's performance in identifying the use of loaded language effectively, addressing the observed false positives and false negatives is crucial. Here are some tailored classification guidelines you can follow:

### Guidelines for Identifying Loaded Language

1. **Understand Emotional Connotations**:
   - Loaded language often contains words or phrases that evoke strong emotions (anger, fear, pride, hope). It is essential to focus on the emotional valence of specific words rather than their dictionary definitions.
   - Words like "aggression," "oppression," "hero," "struggle," "victories," or "tyranny" carry significant emotional weight. Identify and flag such emotions in the context compared to neutral language.

2. **Context Matters**:
   - Evaluate the context in which words are used. For example, "responsibility" might be neutral in some contexts but might turn charged when discussing obligation in a war scenario.
   - Understand idiomatic expressions or phrases that may sound neutral but hold connotations in a specific context (e.g., "defend," "combat," "struggle for freedom").

3. **Identify Power Dynamics**:
   - Loaded language often reflects power dynamics, such as terms that undermine opponents or elevate allies. Look for language that labels individuals or groups negatively (e.g., "occupied" vs. "liberated").
   - Watch for descriptors that reinforce or challenge authority, such as "heroic" for allied forces or "tyrants" for opposing ones.

4. **Differentiate Between Facts and Narrative**:
   - Loaded language usually blends factual statements with subjective judgment or a narrative. Distinguish pure facts from interpretative statements.
   - Avoid flagging statements that are purely factual (like citing a number of casualties) unless accompanied by a subjective or emotional angle.

5. **Watch Out for Hyperbole**:
   - Loaded language can include exaggerated statements used for emphasis. Phrases like "massive loss," "unprecedented destruction," or "complete victory" can evoke strong emotional responses.
   - Identify potential hyperboles that shift the tone of the text dramatically.

6. **Recognize Patterned Language**:
   - Identify recurring phrases or terms that express similar sentiments across various documents. Loaded language often follows a pattern in how certain ideas are framed (e.g., "sacrificing for freedom").
   - Use linguistic analysis tools to detect common phrases associated with loaded language.

7. **Test for Binary Classification**:
   - Implement a system that categorizes phrases as either loaded language or neutral based on their emotional impact. Use a manual review process for ambiguous cases where AI misclassifies critical language as neutral.
   - For example, if a document states, "The soldiers bravely defended the city while facing overwhelming odds," flag it as loaded due to the valorisation of soldiers.

### Addressing False Negatives
- Pay close attention to phrases that may appear neutral but are contextually important for the overall sentiment (e.g., "The need for defense equipment is crucial during this time").
- Analyze statements that reference significant events, tragedies, or losses but are framed neutrally, as they can carry emotional weight in specific contexts.

### Addressing False Positives
- Implement rules or heuristics to detect and filter out terms that are commonly used in legal or military discourse without emotive connotations (like "responsibility" or "mobilization").
- Use more specific contextual cues by analyzing surrounding language to ensure a more refined understanding of potential loaded versus neutral expressions.

By focusing on these guidelines, you can enhance your classifier to more accurately detect loaded language while reducing the misclassification of terms that appear impartial. It's a combination of nuanced linguistic analysis and sensitivity to context that will yield better results.

[User]
У Краснопільский селищній громаді Сумщини замовили позашляховик за майже 2 мільйони гривень
🤬
Дуже це все дивно, бо замовили цей позашляховик нібито з ціллю повищення обороноздатності громади. Ось тільки не виглядає ця Тойота як авто для встановлення на нього кулемета чи перевозки боєприпасів...
Знову чергове розкрадання бюджету. І де ж хвалена "Прозорість та підзвітність"?


[System]
You are an expert in the loaded_language manipulation technique. Loaded Language: Employs strongly emotional or charged words to sway opinion. List phrases that provide evidence of loaded_language in the given sentence if they are present. Given the evidence, make a judgement whether the sentence contains the loaded_language manipulation.
To improve the classifier's performance in identifying the use of loaded language effectively, addressing the observed false positives and false negatives is crucial. Here are some tailored classification guidelines you can follow:

### Guidelines for Identifying Loaded Language

1. **Understand Emotional Connotations**:
   - Loaded language often contains words or phrases that evoke strong emotions (anger, fear, pride, hope). It is essential to focus on the emotional valence of specific words rather than their dictionary definitions.
   - Words like "aggression," "oppression," "hero," "struggle," "victories," or "tyranny" carry significant emotional weight. Identify and flag such emotions in the context compared to neutral language.

2. **Context Matters**:
   - Evaluate the context in which words are used. For example, "responsibility" might be neutral in some contexts but might turn charged when discussing obligation in a war scenario.
   - Understand idiomatic expressions or phrases that may sound neutral but hold connotations in a specific context (e.g., "defend," "combat," "struggle for freedom").

3. **Identify Power Dynamics**:
   - Loaded language often reflects power dynamics, such as terms that undermine opponents or elevate allies. Look for language that labels individuals or groups negatively (e.g., "occupied" vs. "liberated").
   - Watch for descriptors that reinforce or challenge authority, such as "heroic" for allied forces or "tyrants" for opposing ones.

4. **Differentiate Between Facts and Narrative**:
   - Loaded language usually blends factual statements with subjective judgment or a narrative. Distinguish pure facts from interpretative statements.
   - Avoid flagging statements that are purely factual (like citing a number of casualties) unless accompanied by a subjective or emotional angle.

5. **Watch Out for Hyperbole**:
   - Loaded language can include exaggerated statements used for emphasis. Phrases like "massive loss," "unprecedented destruction," or "complete victory" can evoke strong emotional responses.
   - Identify potential hyperboles that shift the tone of the text dramatically.

6. **Recognize Patterned Language**:
   - Identify recurring phrases or terms that express similar sentiments across various documents. Loaded language often follows a pattern in how certain ideas are framed (e.g., "sacrificing for freedom").
   - Use linguistic analysis tools to detect common phrases associated with loaded language.

7. **Test for Binary Classification**:
   - Implement a system that categorizes phrases as either loaded language or neutral based on their emotional impact. Use a manual review process for ambiguous cases where AI misclassifies critical language as neutral.
   - For example, if a document states, "The soldiers bravely defended the city while facing overwhelming odds," flag it as loaded due to the valorisation of soldiers.

### Addressing False Negatives
- Pay close attention to phrases that may appear neutral but are contextually important for the overall sentiment (e.g., "The need for defense equipment is crucial during this time").
- Analyze statements that reference significant events, tragedies, or losses but are framed neutrally, as they can carry emotional weight in specific contexts.

### Addressing False Positives
- Implement rules or heuristics to detect and filter out terms that are commonly used in legal or military discourse without emotive connotations (like "responsibility" or "mobilization").
- Use more specific contextual cues by analyzing surrounding language to ensure a more refined understanding of potential loaded versus neutral expressions.

By focusing on these guidelines, you can enhance your classifier to more accurately detect loaded language while reducing the misclassification of terms that appear impartial. It's a combination of nuanced linguistic analysis and sensitivity to context that will yield better results.

[User]
Кадры из Угледара Донецкой области

публикуют в Сети
Город находится на передовой — артиллерийские обстрелы и ракетные удары продолжаются ежедневно.
Подписаться
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Прислать новость


[System]
You are an expert in the loaded_language manipulation technique. Loaded Language: Employs strongly emotional or charged words to sway opinion. List phrases that provide evidence of loaded_language in the given sentence if they are present. Given the evidence, make a judgement whether the sentence contains the loaded_language manipulation.
To improve the classifier's performance in identifying the use of loaded language effectively, addressing the observed false positives and false negatives is crucial. Here are some tailored classification guidelines you can follow:

### Guidelines for Identifying Loaded Language

1. **Understand Emotional Connotations**:
   - Loaded language often contains words or phrases that evoke strong emotions (anger, fear, pride, hope). It is essential to focus on the emotional valence of specific words rather than their dictionary definitions.
   - Words like "aggression," "oppression," "hero," "struggle," "victories," or "tyranny" carry significant emotional weight. Identify and flag such emotions in the context compared to neutral language.

2. **Context Matters**:
   - Evaluate the context in which words are used. For example, "responsibility" might be neutral in some contexts but might turn charged when discussing obligation in a war scenario.
   - Understand idiomatic expressions or phrases that may sound neutral but hold connotations in a specific context (e.g., "defend," "combat," "struggle for freedom").

3. **Identify Power Dynamics**:
   - Loaded language often reflects power dynamics, such as terms that undermine opponents or elevate allies. Look for language that labels individuals or groups negatively (e.g., "occupied" vs. "liberated").
   - Watch for descriptors that reinforce or challenge authority, such as "heroic" for allied forces or "tyrants" for opposing ones.

4. **Differentiate Between Facts and Narrative**:
   - Loaded language usually blends factual statements with subjective judgment or a narrative. Distinguish pure facts from interpretative statements.
   - Avoid flagging statements that are purely factual (like citing a number of casualties) unless accompanied by a subjective or emotional angle.

5. **Watch Out for Hyperbole**:
   - Loaded language can include exaggerated statements used for emphasis. Phrases like "massive loss," "unprecedented destruction," or "complete victory" can evoke strong emotional responses.
   - Identify potential hyperboles that shift the tone of the text dramatically.

6. **Recognize Patterned Language**:
   - Identify recurring phrases or terms that express similar sentiments across various documents. Loaded language often follows a pattern in how certain ideas are framed (e.g., "sacrificing for freedom").
   - Use linguistic analysis tools to detect common phrases associated with loaded language.

7. **Test for Binary Classification**:
   - Implement a system that categorizes phrases as either loaded language or neutral based on their emotional impact. Use a manual review process for ambiguous cases where AI misclassifies critical language as neutral.
   - For example, if a document states, "The soldiers bravely defended the city while facing overwhelming odds," flag it as loaded due to the valorisation of soldiers.

### Addressing False Negatives
- Pay close attention to phrases that may appear neutral but are contextually important for the overall sentiment (e.g., "The need for defense equipment is crucial during this time").
- Analyze statements that reference significant events, tragedies, or losses but are framed neutrally, as they can carry emotional weight in specific contexts.

### Addressing False Positives
- Implement rules or heuristics to detect and filter out terms that are commonly used in legal or military discourse without emotive connotations (like "responsibility" or "mobilization").
- Use more specific contextual cues by analyzing surrounding language to ensure a more refined understanding of potential loaded versus neutral expressions.

By focusing on these guidelines, you can enhance your classifier to more accurately detect loaded language while reducing the misclassification of terms that appear impartial. It's a combination of nuanced linguistic analysis and sensitivity to context that will yield better results.

[User]
Родные СРОЧНЫЙ СБОР ДЛЯ ПОДРАЗДЕЛЕНИЙ В РАЙОНЕ ЧАСОВ ЯР
‼
НАШИ БЬЮТ НАЦИСТОВ ИЗО ВСЕХ СИЛ.
НУЖНА ПОМОЩЬ
‼
У КАЖДОГО ЕСТЬ ВОЗМОЖНОСТЬ СДЕЛАТЬ ДОБРОЕ ДЕЛО, КОТОРОЕ ВДВОЙНЕ ВЕРНЕТСЯ
‼
ВЕДЬ НЕТ НИЧЕГО ВАЖНЕЕ ЧЕМ ЖИЗНЬ!
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Сообщить о переводе:
@ZaRodinuPrivet_bot


[System]
You are an expert in the loaded_language manipulation technique. Loaded Language: Employs strongly emotional or charged words to sway opinion. List phrases that provide evidence of loaded_language in the given sentence if they are present. Given the evidence, make a judgement whether the sentence contains the loaded_language manipulation.
To improve the classifier's performance in identifying the use of loaded language effectively, addressing the observed false positives and false negatives is crucial. Here are some tailored classification guidelines you can follow:

### Guidelines for Identifying Loaded Language

1. **Understand Emotional Connotations**:
   - Loaded language often contains words or phrases that evoke strong emotions (anger, fear, pride, hope). It is essential to focus on the emotional valence of specific words rather than their dictionary definitions.
   - Words like "aggression," "oppression," "hero," "struggle," "victories," or "tyranny" carry significant emotional weight. Identify and flag such emotions in the context compared to neutral language.

2. **Context Matters**:
   - Evaluate the context in which words are used. For example, "responsibility" might be neutral in some contexts but might turn charged when discussing obligation in a war scenario.
   - Understand idiomatic expressions or phrases that may sound neutral but hold connotations in a specific context (e.g., "defend," "combat," "struggle for freedom").

3. **Identify Power Dynamics**:
   - Loaded language often reflects power dynamics, such as terms that undermine opponents or elevate allies. Look for language that labels individuals or groups negatively (e.g., "occupied" vs. "liberated").
   - Watch for descriptors that reinforce or challenge authority, such as "heroic" for allied forces or "tyrants" for opposing ones.

4. **Differentiate Between Facts and Narrative**:
   - Loaded language usually blends factual statements with subjective judgment or a narrative. Distinguish pure facts from interpretative statements.
   - Avoid flagging statements that are purely factual (like citing a number of casualties) unless accompanied by a subjective or emotional angle.

5. **Watch Out for Hyperbole**:
   - Loaded language can include exaggerated statements used for emphasis. Phrases like "massive loss," "unprecedented destruction," or "complete victory" can evoke strong emotional responses.
   - Identify potential hyperboles that shift the tone of the text dramatically.

6. **Recognize Patterned Language**:
   - Identify recurring phrases or terms that express similar sentiments across various documents. Loaded language often follows a pattern in how certain ideas are framed (e.g., "sacrificing for freedom").
   - Use linguistic analysis tools to detect common phrases associated with loaded language.

7. **Test for Binary Classification**:
   - Implement a system that categorizes phrases as either loaded language or neutral based on their emotional impact. Use a manual review process for ambiguous cases where AI misclassifies critical language as neutral.
   - For example, if a document states, "The soldiers bravely defended the city while facing overwhelming odds," flag it as loaded due to the valorisation of soldiers.

### Addressing False Negatives
- Pay close attention to phrases that may appear neutral but are contextually important for the overall sentiment (e.g., "The need for defense equipment is crucial during this time").
- Analyze statements that reference significant events, tragedies, or losses but are framed neutrally, as they can carry emotional weight in specific contexts.

### Addressing False Positives
- Implement rules or heuristics to detect and filter out terms that are commonly used in legal or military discourse without emotive connotations (like "responsibility" or "mobilization").
- Use more specific contextual cues by analyzing surrounding language to ensure a more refined understanding of potential loaded versus neutral expressions.

By focusing on these guidelines, you can enhance your classifier to more accurately detect loaded language while reducing the misclassification of terms that appear impartial. It's a combination of nuanced linguistic analysis and sensitivity to context that will yield better results.

[User]
Висадившись неподалік наших позицій на авдіївському напрямку окупанти намагалися провести спостереження.
Довго сидівши на одному місці, підари випросили у нас пряме влучення по точці спостереження.


[System]
You are an expert in the loaded_language manipulation technique. Loaded Language: Employs strongly emotional or charged words to sway opinion. List phrases that provide evidence of loaded_language in the given sentence if they are present. Given the evidence, make a judgement whether the sentence contains the loaded_language manipulation.
To improve the classifier's performance in identifying the use of loaded language effectively, addressing the observed false positives and false negatives is crucial. Here are some tailored classification guidelines you can follow:

### Guidelines for Identifying Loaded Language

1. **Understand Emotional Connotations**:
   - Loaded language often contains words or phrases that evoke strong emotions (anger, fear, pride, hope). It is essential to focus on the emotional valence of specific words rather than their dictionary definitions.
   - Words like "aggression," "oppression," "hero," "struggle," "victories," or "tyranny" carry significant emotional weight. Identify and flag such emotions in the context compared to neutral language.

2. **Context Matters**:
   - Evaluate the context in which words are used. For example, "responsibility" might be neutral in some contexts but might turn charged when discussing obligation in a war scenario.
   - Understand idiomatic expressions or phrases that may sound neutral but hold connotations in a specific context (e.g., "defend," "combat," "struggle for freedom").

3. **Identify Power Dynamics**:
   - Loaded language often reflects power dynamics, such as terms that undermine opponents or elevate allies. Look for language that labels individuals or groups negatively (e.g., "occupied" vs. "liberated").
   - Watch for descriptors that reinforce or challenge authority, such as "heroic" for allied forces or "tyrants" for opposing ones.

4. **Differentiate Between Facts and Narrative**:
   - Loaded language usually blends factual statements with subjective judgment or a narrative. Distinguish pure facts from interpretative statements.
   - Avoid flagging statements that are purely factual (like citing a number of casualties) unless accompanied by a subjective or emotional angle.

5. **Watch Out for Hyperbole**:
   - Loaded language can include exaggerated statements used for emphasis. Phrases like "massive loss," "unprecedented destruction," or "complete victory" can evoke strong emotional responses.
   - Identify potential hyperboles that shift the tone of the text dramatically.

6. **Recognize Patterned Language**:
   - Identify recurring phrases or terms that express similar sentiments across various documents. Loaded language often follows a pattern in how certain ideas are framed (e.g., "sacrificing for freedom").
   - Use linguistic analysis tools to detect common phrases associated with loaded language.

7. **Test for Binary Classification**:
   - Implement a system that categorizes phrases as either loaded language or neutral based on their emotional impact. Use a manual review process for ambiguous cases where AI misclassifies critical language as neutral.
   - For example, if a document states, "The soldiers bravely defended the city while facing overwhelming odds," flag it as loaded due to the valorisation of soldiers.

### Addressing False Negatives
- Pay close attention to phrases that may appear neutral but are contextually important for the overall sentiment (e.g., "The need for defense equipment is crucial during this time").
- Analyze statements that reference significant events, tragedies, or losses but are framed neutrally, as they can carry emotional weight in specific contexts.

### Addressing False Positives
- Implement rules or heuristics to detect and filter out terms that are commonly used in legal or military discourse without emotive connotations (like "responsibility" or "mobilization").
- Use more specific contextual cues by analyzing surrounding language to ensure a more refined understanding of potential loaded versus neutral expressions.

By focusing on these guidelines, you can enhance your classifier to more accurately detect loaded language while reducing the misclassification of terms that appear impartial. It's a combination of nuanced linguistic analysis and sensitivity to context that will yield better results.

[User]
– Киев вернём, семью туда перевезу

Наконец, под третий год
войны
 СВО наша медийка начала снимать действительно что-то стоящее.
Ну и заодно прогревать общественное мнение на предмет освобождения Киева.
@polk105


[System]
You are an expert in the loaded_language manipulation technique. Loaded Language: Employs strongly emotional or charged words to sway opinion. List phrases that provide evidence of loaded_language in the given sentence if they are present. Given the evidence, make a judgement whether the sentence contains the loaded_language manipulation.
To improve the classifier's performance in identifying the use of loaded language effectively, addressing the observed false positives and false negatives is crucial. Here are some tailored classification guidelines you can follow:

### Guidelines for Identifying Loaded Language

1. **Understand Emotional Connotations**:
   - Loaded language often contains words or phrases that evoke strong emotions (anger, fear, pride, hope). It is essential to focus on the emotional valence of specific words rather than their dictionary definitions.
   - Words like "aggression," "oppression," "hero," "struggle," "victories," or "tyranny" carry significant emotional weight. Identify and flag such emotions in the context compared to neutral language.

2. **Context Matters**:
   - Evaluate the context in which words are used. For example, "responsibility" might be neutral in some contexts but might turn charged when discussing obligation in a war scenario.
   - Understand idiomatic expressions or phrases that may sound neutral but hold connotations in a specific context (e.g., "defend," "combat," "struggle for freedom").

3. **Identify Power Dynamics**:
   - Loaded language often reflects power dynamics, such as terms that undermine opponents or elevate allies. Look for language that labels individuals or groups negatively (e.g., "occupied" vs. "liberated").
   - Watch for descriptors that reinforce or challenge authority, such as "heroic" for allied forces or "tyrants" for opposing ones.

4. **Differentiate Between Facts and Narrative**:
   - Loaded language usually blends factual statements with subjective judgment or a narrative. Distinguish pure facts from interpretative statements.
   - Avoid flagging statements that are purely factual (like citing a number of casualties) unless accompanied by a subjective or emotional angle.

5. **Watch Out for Hyperbole**:
   - Loaded language can include exaggerated statements used for emphasis. Phrases like "massive loss," "unprecedented destruction," or "complete victory" can evoke strong emotional responses.
   - Identify potential hyperboles that shift the tone of the text dramatically.

6. **Recognize Patterned Language**:
   - Identify recurring phrases or terms that express similar sentiments across various documents. Loaded language often follows a pattern in how certain ideas are framed (e.g., "sacrificing for freedom").
   - Use linguistic analysis tools to detect common phrases associated with loaded language.

7. **Test for Binary Classification**:
   - Implement a system that categorizes phrases as either loaded language or neutral based on their emotional impact. Use a manual review process for ambiguous cases where AI misclassifies critical language as neutral.
   - For example, if a document states, "The soldiers bravely defended the city while facing overwhelming odds," flag it as loaded due to the valorisation of soldiers.

### Addressing False Negatives
- Pay close attention to phrases that may appear neutral but are contextually important for the overall sentiment (e.g., "The need for defense equipment is crucial during this time").
- Analyze statements that reference significant events, tragedies, or losses but are framed neutrally, as they can carry emotional weight in specific contexts.

### Addressing False Positives
- Implement rules or heuristics to detect and filter out terms that are commonly used in legal or military discourse without emotive connotations (like "responsibility" or "mobilization").
- Use more specific contextual cues by analyzing surrounding language to ensure a more refined understanding of potential loaded versus neutral expressions.

By focusing on these guidelines, you can enhance your classifier to more accurately detect loaded language while reducing the misclassification of terms that appear impartial. It's a combination of nuanced linguistic analysis and sensitivity to context that will yield better results.

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Україна витратить 7,8 млрд грн до 2030 року на розвиток української мови, — розпорядження Кабінету міністрів
"Загроза українській мові рівносильна загрозі національній безпеці України, існуванню української нації та її держави", — йдеться в документі.
#штт_реалии