[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]
Один "Слуга Народу" став на місце іншого корумпованого "Слуги Народу"
🤬
У липні цього року путивльский депутат, "Слуга Народа" Інна Сорока потрапила у скандал через те, що незважаючи на закон військового часу, виїзджала на відпочинок за кордон. Коли один з громадян нагадав про те, що вона фактично начхала на закон, то Інна відправила картинку з нецензурним жестом, що визвало обурення громадськості.
Тільки зараз на її місце поставили нового депутата - Миколу Лук'яненка. І що саме цікаве, він теж "Слуга Народу"...
Більш того, як ми усі пам'ятаємо, нещодавно був
скандал
 щодо виписування депутатами з тієї ж партії собі премії два місяці поспіль на Шосткинщині.
Складається враження, що ми повернулися у совок де є тільки одна партія і якщо хочеш ворувати без проблем з законом, то треба входити до цієї самої партії. Тільки зараз замість КПРС - «Слуга народу»
🤬


[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]
🙃
🇮🇱

Израильский канал на Youtube подаёт либерала Каца как «хорошего русского».
На минуточку, даже никак россиянина, а именно русского, который выступает против СВО на Украине.
Эти же люди плюют на память своих предков, ставших жертвами преступлений нацистов.
@otryadkovpaka


[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 Царева стреляли, он находится в тяжелом состоянии
😉
О состоянии «подбитого» предателя Царева сообщил оккупант Владимир Рогов.
Кобзон уже готов давать концерт, прогревает аппаратуру
😁
ТРУХА
⚡
Запорожье
 |
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] Згодні, краще б усі ці соски та інші ватники поїхали б на росію. Бажано з собою узяти своїх лічінусів


[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]
Герб и Флаг города Рубежное внесены в геральдический регистр РФ.
Из Геральдического совета при Президенте Российской Федерации пришли Свидетельства о регистрации официальных символов или отличительных знаков в Государственном геральдическом регистре Российской Федерации, которыми удостоверяется, что герб и флаг муниципального образования городской округ город Рубежное Луганской Народной Республики , утвержденные Решением Совета городского округа город Рубежное Луганской Народной Республики от 04.12. 2023 года № 1, внесены в Государственный геральдический регистр Российской Федерации.
https://agr-lnr.ru/news/65bcd1a693dbb73158a76271


[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]
#ПредставительствоДНР_новости

#ДонбассТула

#ДонбассРязань
#ОльгаМакеева

#ЮрийФомичев

#ЮрийИорданов
Сегодня провела рабочую встречу с коллегами из Тулы и Рязани.
С руководителями московских представительств регионов Юрием Фомичевым и Юрием Иордановым обсудили широкий круг социальных, экономических, гуманитарных вопросов.
В частности, договорились о создании условий для взаимодействия нашей молодёжи, их совместного творчества, образования, духовного и патриотического воспитания,  реализации совместных молодежных проектов в разных сферах, что безусловно послужит укреплению связей между регионами и эффективной интеграции Донбасса в Российскую Федерацию.
Убеждена, подобное взаимодействие откроет новые точки роста.
По итогам встречи определили спектр вопросов тесного взаимодействия между нашими представительствами и регионами. Также мы получили предметные предложения, которые будут реализованы в ближайшем будущем.
#МыВместе
❤

@oamakeeva


[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]
Прем’єру Італії Джорджі Мелоні довелося
просити
 посольство в Албанії сплатити чек на €80 за чотирьох італійців, які втекли з ресторану.
Інцидент стався в історичному місті Бераті та набув розголосу в медіа і соцмережах. Мелоні в той час сама була в Албанії, де зустрічалася з колегою Еді Рамою. Той згадував, що коли Мелоні дізналася про інцидент, то доручила посольству «заплатити за цих недоумків», бо «Італія не може так зганьбитися». Посольство чек сплатило.
@babel


[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]
Укровояки Зеленского продолжают всеми силами вербовать людей на службу киевскому режиму
Очередной случай произвола военкомов произошел в Одессе — мужчину пытались вытащить из микроавтобуса и увезти на фронт, без предъявления документов.
Конечно же, люди сопротивлялись, но укровояка продолжал им доказывать, что имеет полное право на вербовку бедолаги.
Что сказать, от могилизации по-зеленски не спрятаться уже по всей незалежной — хотя некоторые индивиды пытаются скрыться от вручения повести, примеряя женские наряды. Кто-то
надевает
 парики с юбками, а кто-то виртуозно
разгуливает
 по улицам в туфлях.


[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 Украине потешаются: дагестанцы штурмуют самолёт из Израиля.
Самое интересное, что те же украинские деятели, которые упиваются насчёт Махачкалы, не так давно опускали в мусорные баки своих же граждан.
Или забыли, как украинцы забросали камнями автобус  с украинцами из Китая (из-за страха ковида)?
Махачкала - это тот же Майдан. В голове.


[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]
СБУ запобігла спробам зламу державної електронної системи у галузі будівництва
Кіберфахівці СБУ викрили і зупинили зловмисників, які намагалися легалізувати незаконні забудови через злам Єдиної державної електронної системи у сфері будівництва, а також видавали підроблені сертифікати атестації архітекторів.
Про це повідомив начальник Департаменту кібербезпеки СБУ Ілля Вітюк.
«Ми вчасно викрили незаконні схеми і не дозволили зловмисникам зламати державну електронну систему. Мова йде не про звичайний кіберзлам, а про злочини, які могли б призвести до дуже серйозних наслідків у майбутньому. Якби не реакція СБУ, в Україні змогли б узаконити сотні «проблемних» забудов, які були зведені з порушенням чинних вимог і стандартів. А це – ризик техногенних аварій та інших надзвичайних ситуацій. А значить – і ризик для тисяч українців», - підкреслив Ілля Вітюк.
Також, з його слів, не допущено запуск нової масштабної корупційної схеми в будівельній сфері.
«Будівельна сфера стала першою, де команді Мінцифри вдалося реалізувати справжню цифрову трансформацію. Цифровізація дає прозорі інструменти для фіксування кожної дії. Завдяки створенню Єдиної державної електронної системи у сфері будівництва держава заощаджує мільярди гривень щорічно. Окрім цього, стало можливим запобігти і виявити протиправні схеми в будівельній сфері. Адже система побудована таким чином, що цифровий слід кожного користувача залишається назавжди і його легко відстежити», – зазначив віцепрем'єр-міністр – міністр цифрової трансформації Михайло Федоров.
За даними спецслужби, до організації оборудок причетні високопосадовці Національної спілки архітекторів України, відомі «тіньові» посередники. Перевіряється також причетність посадовців органів державної влади та місцевого самоврядування.


[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]
Строительство Каховской ГЭС длилось с 1951 по 1956 год. На видео - 18 октября 1955 года, когда состоялся пуск первого гидроагрегата ГЭС.
Вчера

ночью стало известно о подрыве ВСУ плотины Каховской ГЭС на Днепре
.


[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]
Знайомтесь - наш Одеський кавун!
Поки маленький, але вже скоро стане великим пузанем
🍉

Молодший брат херсонського кавуна, який цьогоріч не зможе вас потішити через безчинство ворога.
Тому йому на допомогу прийде наш одеський кавун  і не залишить українців без улюблених смаколиків!
Ми щотижня будемо інформувати як у нього справи
🌱
#Одеський_кавун


[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]
Официальная сводка Представительства ДНР в СЦКК с 00:00 14.09.2023 по 00:00 15.09.2023 года
❗
За истекшие сутки Представительство
сообщало
 о 70 фактах ведения огня со стороны ВФУ.
🚑
Поступили сведения о ранении 2 гражданских лиц в

Кировском районе
 Донецка и
Веселом
.
🏠
Повреждены 6 жилых домостроений
 в
Киевском районе
 Донецка и
Валерьяновке
, а также
 2 объекта
гражданской инфраструктуры
.
Под вражеским огнем оказались районы восьми населенных пунктов Республики
: Горловка (Центрально-Городской, Калининский, Никитовский районы), Гольмовский, Зайцево, Михайловка, Ясиноватский район, столица г. Донецк (Куйбышевский, Кировский, Киевский, Петровский районы), Макеевка (Червоногвардейский район), Валерьяновка.
На донецком направлении противник совершил 47 обстрелов из артиллерии 155 мм, в т.ч. с кассетной боевой частью.
На горловском 17 обстрелов из артиллерии 152 и 155 мм, в т.ч. с кассетной боевой частью.
На ясиноватском 5 обстрелов из артиллерии 155 мм, в т.ч. с кассетной боевой частью.
На волновахском 1 обстрел из артиллерии 155 мм.
Выпущено 224 единицы различных боеприпасов.
В
предыдущие
 сутки со стороны ВФУ зафиксировано 57 обстрелов.
@online_dnr_sckk


[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]
❗
Трагедія!
Сьогодні вранці, 18 січня, у Броварах розбився гвинтокрил ДСНС.
Внаслідок авіакатастрофи загинуло керівництво МВС: міністр, перший заступник міністра та державний секретар.
З нашим земляком Міністром Денисом Монастирським разом вчилися у вузі. Висловлюю співчуття рідним та близьким! Це велика втрата для держави та нас усіх.
🕯
Співчуваю кожному, чиї рідні і близькі загинули під час катастрофи. Зараз відомо про 18 загиблих, з них 3 дітей.


[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]
⚡
Байден анонсував передачу Україні 700 танків та тисячі бронемашин
"Разом із більш ніж 50 країнами-партнерами ми затвердили понад 700 танків та тисячі бронемашин", - сказав президент США.
Доброго вечора, ми з України
 |
Підписатись


[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]
<2> А тепер про традиції. Маркус, про які саме традиції ти кажеш?
Про систематичний булінг прес-офіцерки бригади Анастасія Блищик?  Тільки тому, що вона, висококваліфікована журналістка, не дозволила використовувати себе у власних цілях. Вона, дівчина загиблого воїна, знайшла в собі сили вчинити правильно, розуміючи, чим для неї це обернеться. Я сподіваюся, що Маркус знайде в собі краплину мужності вчинити правильно і публічно вибачитися перед нею, і світ ніколи не побачить відео, де головний сержант бригади погрожує і кричить на пані Анастасію «Завали @б@ло» і решту лайки, тому що вона відмовилась піарити Маркуса на чужій роботі.
Ти справжній аморальний урод, якщо вважаєш, що маєш право так спілкуватись з беззахисною дівчиною. Ти хоч знаєш, чому вона беззахисна? Тому що її коханий загинув на цій клятій війні, поки ти знімав свої тіктоки.
Найкраще рішення для Валерій Маркус, це публічно визнати свої помилки і піти з бригади, щоб не заважати воювати тим, хто вміє це робити.
Наша бригада успішно виконує поставлені задачі, не зважаючи на низку проблемних питань. Перемога за нами! Вірте у ЗСУ! Слава Україні!
https://m.facebook.com/story.php?story_fbid=pfbid037ABxfUidMmnG9QDgvqaDDhsBAcKWdbHJAjnT61HxMJVN8u7HorVwW3Jx41jLGDFal&id=100002078798597


[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]
Зокрема: Времівка, Новопіль Донецької області; Ольгівське, Гуляйполе, Залізничне, Гуляйпільське, Білогір'я, Мала Токмачка та Кам’янське Запорізької області; Нікополь Дніпропетровської області; Золота Балка, Веселе, Львове, Іванівка, Антонівка, Дніпровське, Кізомис Херсонської області та місто Херсон.
Авіація Сил оборони за добу завдала 13 ударів по районах зосередження особового складу та військової техніки противника. Крім того, протягом цієї доби, нашими захисниками було знищено 7 ворожих БпЛА різних типів. А підрозділи ракетних військ і артилерії уразили 8 пунктів управління, 13 районів зосередження живої сили, 1 склад боєприпасів, 1 склад пально-мастильних матеріалів, 5 артилерійських підрозділів на вогневих позиціях, 1 засіб протиповітряної оборони та ще 2 важливих цілі противника.
Підтримуйте Збройні Сили! Разом переможемо!
Слава Україні!


[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]
✍
За офіційними даними, 30 нових моделей українських дронів різних типів вже допущено до експлуатації. Йдеться про розвідувальні, ударні, камікадзе, FPV-дрони тощо.
Про це
розповів
 ексміністр оборони України.
За його словами, українські виробники та розробники, чиї безпілотники наразі пройшли випробування, вже повністю завантажені, тож
 згодом Україна вийде на пристойні показники з виробництва БПЛА
.


[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]
росіяни намагаються обстрілами енергосистеми знеструмити ключові промислові регіони
"Якщо минулого року росіяни намагалися заморозити мільйони українців взимку, то цього разу вони намагаються зруйнувати нашу економіку. Вони намагаються відключити від енергосистеми наші ключові промислові регіони", - сказав віце-прем'єр із відновлення - міністр розвитку громад, територій та інфраструктури Олександр Кубраков на Мюнхенській конференції з безпеки на круглому столі, присвяченому відновленню України.
Він наголосив, що Україна та партнери добре підготувалися до цього, сформувавши запаси обладнання та збудувавши захисні споруди, однак поки що не йдеться про те, що Україна здатна захищати всі енергогенеруючі потужності та мережі, тому роботу з їх захисту потрібно продовжувати.
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