[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]
Військо! Вчора всі ми побачили відео, де нашого військового полоненого розстріляли після слів «Слава Україні». Не маємо права дозволити терористам та злочинцям залишитися безкарними. Сьогодні звертаємось до Міжнародного комітету Червоного хресту, Міжнародного кримінального суду, а також до Управління ООН з координації гуманітарних справ та вимагаємо почати розслідування військових злочинів росії. Таких історій безліч, ми побачили на власні очі лише одну.
⚡
Що робимо?
⚡
✅
 Готуємо текст, в якому вимагаємо від організацій розпочати розслідування військових злочинів росії.
✅
 Підготовлений текст залишаємо на сторінках організацій в усіх соцмережах.
✅
 В Твіттері створюємо власну публікацію, тегаємо організації.
✅
 До дописів та коментарів додаємо зображення з посту ІВУ.
Знаємо, що ви спроможні написати власний влучний коментар. Але, за традицією, підготували для вас орієнтовний текст
👇🏻
Yesterday there was a video circulated on social media showing a Ukrainian prisoner of war shot after saying "Glory to Ukraine". For these words, Ukrainians were killed before and again and continue to be killed in the 21st century. There are many stories like this, and we’ve witnessed one of them just now. We demand an investigation into russia's war crimes. We have no right to allow terrorists and criminals to go unpunished.
❓
Де шукати адресатів?
Підготували для вас добірку з посиланнями на соцмережі:
https://cutt.ly/e8DOnJK
До бою, військо! 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]
26 серпня - День авіації України!
✈
Вітаю всіх працівників цивільної та військової авіації, які нині захищають українське небо, знищують ворога та допомагають визволяти українську землю!
Незважаючи ні на що, українські пілоти – одні з найкращих у світі! Ними захоплюються, з них беруть приклад, у них вчаться! І зараз ми усі чекаємо, коли в Україні нарешті з’являться перші F-16.
Ми обов'язково переможе! І в мирному українському небі знову закружляють цивільні літаки!
З Днем авіації України!
🇺🇦


[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]
🎸
Держсекретар США Ентоні Блінкен
зіграв
 блюз на презентації ініціативи Глобальної музичної дипломатії
На сайті Держдепу
зазначено
, що ця ініціатива «має перетворити музику на дипломатичний інструмент для сприяння миру і демократії та підтримки ширших зовнішньополітичних цілей США».
Зараз взагалі незрозуміло, що Блінкен та його колеги мають на увазі. Що дипломати будуть озвучувати позиції своїх країн як у «8 милі» чи у індійському кіно? Тоді ми вважаємо, що Україну на арені музичної дипломатії має представляти «Ницо Потворно»!
А кого ви бачите у ролі музичного дипломата від України? Пишіть у коментарях!
А
тут
 — повне відео виступу Блінкена.


[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 Словакии перевернулся автобус из Украины с 53 пассажирами на борту
Сообщается, что ДТП произошло сегодня около 8 утра неподалеку от села Даргов. В результате ДТП пострадали как минимум 7 человек, включая двух детей. У них у всех травмы головы и конечностей.
На месте уже работают спасатели и медики.
Аутсайдер UA
🚫

По вопросам рекламы


[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]
Во время попытки захвата храма Украинской православной церкви в селе Липовец Киевской области умер один из противников УПЦ.
Как сообщает Союз православных журналистов, погибший - бывший заместитель мэра города Кагарлык Иван Семцов.
"Во время конфликта во дворе храма Семцов вырвал из рук священника УПЦ крест и бросил его на землю. По свидетельству очевидцев, ему тут же стало плохо и он упал на землю. Все попытки привести его в чувство ничего не дали − Семцов скоропостижно скончался", - пишут авторы публикации, сопроводив её видео происшествия и комментариями очевидца.
Официальных сообщений о произошедшем от местных властей или полиции пока не поступало.


[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] Разом з американськими дипломатами та бізнесменами відвідав виставку у Національному музеї історії України у Другій світовій війні, присвячену боротьбі нашої держави з агресією рф та допомозі США у цій війні.   Візит відбувся з нагоди Дня незалежності Сполучених…


[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]
Історія однієї спецоперації підрозділу ГУР
«Артан».

"Під гаслом «Перші в невідомість» ми були у більшості «гарячих точок» цієї війни. Деталі, звісно, наразі розкривати не можемо. Десятки спецоперацій. Кожна надважлива. Надважка.
Та ця — реалізована в акваторії Чорного моря, запамʼятається усім нам своєю особливою історією. Вона про силу волю людини. Про цінності нашої команди.
Так сталося, що один спецпризначенець із позивним «Конан» під час виконання операції опинився за бортом.
Один
. У Чорному морі. Не маючи розуміння, куди рухатись. Коли буде допомога. Але з чітким усвідомленням того, що вона точно буде. «Конан» впорався. Невимовно потужний, сильний духом та тілом - він тепер легенда не лише нашого підрозділу, але, думаю, і всіх спецпризначенців.
Впорались і ми. Побратима врятовано. Усі поставленні завдання виконано. Головне, без втрат. Напрямок руху один. Незмінний. Перемога. Тож де б нам не довелось виконувати свою місію: на землі, в повітрі чи на воді - рухаємось до перемоги. З одним важливим і значущим пріоритетом над ворогом - ми кровно віддані один одному. «Артан»."


[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]
Представители ВГА адресно доставили гуманитарную помощь многодетной маме из Харьковской области. Уже традиционно к этой работе подключаем ребят из молодёжного движения
«
Время Первых
». Дети понимают, что есть земляки, которым сегодня особенно тяжело, и они с большой инициативой помогают в этом деле.
В этот раз привезли продукты питания: крупы, макароны, разные виды консервированной продукции, сладости и средства личной гигиены. По мере возможности будем оказывать помощь этой маме и другим многодетным семьям, которые остро нуждаются в поддержке.
ПОДПИСАТЬСЯ | ХАРЬКОВСКАЯ ВГА. НОВОСТИ
Предложить новости


[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]
Триває робота над ліквідацією наслідків негоди в областях України. Задіяно максимум бригад усіх необхідних служб, вони працюють у посиленому режимі 24/7.
Надвечір погодні умови погіршились. Найбільший удар стихії приймає на себе Одеська область. Сніг засипає весь регіон, також є потужні пориви вітру.
Наразі в області знеструмлені 278 населених пунктів. У місті Одеса місцями відсутні електро- та водопостачання. Майже 100 бригад працюють над відновленням усіх послуг.
Важка ситуація на дорогах. Тому окреме прохання до водіїв за можливості утриматися від поїздок, бути максимально обережними за кермом.
Загалом по України знеструмлено близько 400 населених пунктів у 10 областях: 35 у Миколаївській, 30 — у Кіровоградській, 22 — у Київській, 20 — у Полтавській, 18 — у Черкаській, дев’ять — у Чернігівській, вісім — у Дніпропетровській, шість у Донецькій та чотири у Сумській.
В областях розгорнуто Пункти незламності, діють цілодобові координаційні штаби при ОВА.
Навчання у школах регіонів, де вирує негода, 27 листопада також буде дистанційним.


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

### Guidelines for Identifying Loaded Language

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

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

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

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

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

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

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

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

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

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

[User]
💥
Кадры уничтожения противника артиллерией группировки войск «Днепр» на одном из островов в пойме Днепра


[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]
👍
Представительницы Женского движения Единой России в ДНР получили гуманитарный груз из Ирландии
🚛
 В Республику привезли гуманитарную помощь от русскоязычной диаспоры с острова Ирландия, которая поддерживает народ Донбасса. Сбором помощи занимался ирландский фонд «Аллея Ангелов». Доставка была организована при поддержке благотворительного фонда имени Алексея Талая в Республике Беларусь. Принимали помощь представительницы Женского движения Единой России в ДНР.
▶
 Подробнее – в нашем видео.
#ЕРДНР

#ЖенскоеДвижениеЕР

#ФондАллеяАнгелов

#БлаготворительныйФондАлексеяТалая

#ЕдинаяРоссия


[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]
🔥
На другий день пожеж в Свєрдловській області розпочались події Doom: Eternal. Біля порохових складів відкрився портал до Пекла та почалось демонічне вторгення.


[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]
Вот в такую передрягу попали ВСУшники в нескольких километрах от Марьинки
Пять нацистов были ликвидированы в результате четкой работы наших бравых охотников.


[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]
👨🎓
 Тренінговий центр Кіберцентру UA30, що діє при Державному центрі кіберзахисту Держспецзв'язку, продовжує працювати над підвищенням фахового рівня українських кіберзахисників
Протягом 2022 року на базі Тренінгового кіберцентру було проведено близько 30 тренінгів для більш як 150 фахівців зі сфери кібербезпеки. Від початку 2023 року Центр провів профільні навчання уже для понад 80 співробітників, у зоні відповідальності яких – забезпечення кібербезпеки державних інформаційних ресурсів та об’єктів критичної інфраструктури.
Свої професійні навички удосконалюють як співробітники профільних підрозділів Держспецзв’язку, так і відповідальні фахівці інших державних органів, міністерств, відомств та складових сил безпеки та оборони.
👨🏫
 Йдеться про практичні тренінги, зокрема, щодо реагування на інциденти кібербезпеки, особливості кібербезпеки промислових систем керування, реверс інжинірингу ШПЗ тощо.
💬
 «Зараз Тренінговий кіберцентр здійснює проведення тренінгів за шістьма навчальними програмами, в тому числі за п’ятьма навчальними програмами формату «Кіберзахист». Також маємо окремий тренінг із кібербезпеки промислових систем керування. Неспровокована і несправедлива агресія росії триває в тому числі й у кіберпросторі, тож підвищення рівня практичних навичок кіберзахисту відповідальних фахівців – необхідна складова нашої стійкості, стійкості держави, до загроз», – говорить начальник Тренінгового центру Володимир Міщенко.
📢
 Нагадаємо, Тренінговий центр – одна зі складових Кіберцентру UA30, що створений у межах реформи системи кібербезпеки України, яку ініціював Президент України Володимир Зеленський. Центр проводить кібернавчання і кібертренінги для фахівців із кібербезпеки, які працюють у складі команд (центрів) реагування на кіберінциденти основних суб’єктів забезпечення кібербезпеки та секторальних команд реагування, а також для персоналу, відповідального за забезпечення кібербезпеки на об’єктах критичної інфраструктури держави.
ℹ
 Деталі – за посиланням
👇
🌐

https://scpc.gov.ua/cyber-trainer


[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]
Смогли бы одесситки встречаться с парнем, который живёт с мамой, разведён либо беден?
Узнали у одесских экспертов ответы на важные вопросы в новом выпуске на ютубе Хуевой Одессы, смотреть —
https://youtu.be/3CiCOXYo5W8
(не забудьте подписаться пжлст)


[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]
Знову театр абсурду на кордоні.
Маю підписане відрядження головою Верховної Ради, але прикордонники мене не пропустили.
Я далекий від думки, що прикордонники діяли за власної ініціативи. Кожен може сам здогадатися, хто ж скасував документ, підписаний спікером парламенту.
У Польщі та США у мене заплановані десятки зустрічей.
З поляками я мав говорити про зняття блокади наших перевізників на кордоні. З американцями — про забезпечення фінансування воєнної допомоги, яка майже вичерпалася цього року, під загрозою в майбутньому. А без неї нам росію не перемогти.
Ситуація надзвичайно складна. Тому акцент в програмі — на проблемних республіканцях. Зірвано мою зустріч з новим спікером палати представників Джонсоном.
Тому те, що відбулося сьогодні на кордоні — це не дрібне шкідництво. Це —  антиукраїнська диверсія. Це не просто перешкоджання дипломатичній роботі всієї моєї команди. А, на жаль, удар по обороноздатності України.


[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]
Путин и Лукашенко пожали друг другу руки после слов Токаева о высоком уровне интеграции России и Беларуси по формуле "Две страны — одно государство".
"
У них даже ядерное оружие одно на двоих сейчас", — отметил Токаев.
Тонкий намек на будущие слияние РФ и РБ от токаев?


[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]
Российский военнослужащий предельно точно описывает ситуацию после прилета украинского FPV-дрона в транспорт оккупантов.
Осторожно, на видео присутствует "высококультурный" диалог.


[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]
Как далеко дедушка от реального мира…Байден заявил:
«Си Цзиньпин хочет получить крупнейшую в мире экономику и самые большие возможности в военной сфере, но не стремится к войне с США или территориальной экспансии».
Интересно зачем Китаю большие возможности в военной сфере? Конечно Китай не собирается воевать с США, но с Тайванем…