[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]
По материалам СБУ впервые в Украине вынесен приговор митрополиту УПЦ (МП): он признал, что виновен в преступлениях, — пресслужба СБУ
По материалам СБУ районный суд г. Кропивницкий впервые в Украине вынес приговор высокопоставленному клирику УПЦ (МП), экс-руководителю Кировоградской епархии митрополиту Иосафу. Он и секретарь этого учреждения полностью признали свою вину в преступлениях, которые им инкриминировала Служба безопасности. Таким образом, суд и сами фигуранты полностью подтвердили доказательную базу, собранную сотрудниками СБУ.
Фигуранты публично восхваляли захват части территории Украины и "раздували" межрелигиозную вражду в регионе в пользу страны-агрессора. По данным расследования, епископ входил в ближайшее окружение московского патриарха Кирилла, с которым координировал подрывную деятельность против нашего государства.
Агент Украины


[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]
Київський райсуд Харкова скасував штраф
Терехову
 за ведення соцмереж російською і ухвалив, що Кремінь - довбойоб.


[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]
Основные заявления Дениса Пушилина:
⏺
ВСУ попытались прорвать линию обороны в ДНР, используя большое количество техники. Наши войска были к этому готовы и успешно отразили атаку.
⏺
Киев не считается с военными потерями и будет продолжать предпринимать попытки наступления.
⏺
Противника необходимо отодвинуть, как минимум, на 500 км от границ новых субъектов.
⏺
После восстановления Артемовска является возможным вариант с проведением референдума о названии города.
⏺
Республика может помочь Херсонской области в ликвидации последствий разрушения Каховской ГЭС.
⏺
Украина пошла на разрушение гидроэлектростанции, чтобы не допустить российского наступления.


[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] Підари в ході наступальних дій зайняли східну частину населеного пункта Іванівське, бахмутський напрямок і продовжують розвивати успіх у селищі.


[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]
Теперь я понимаю, что ждёт города?!
Антон, вечер добрый!
Начинается веселье. В городе Калуш Ивано-Франковской обл. хотят отключить свет на очистных, как следствие всё и вся останется без воды и туалета..... в место того, что бы заплатить за электричество они будут ставить био.туалеты и платить за них 1.5 миллиона в день.


[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]
🚷
 Ще 490 окупантів знищили Сили оборони України! 126650 осіб – орієнтовні втрати російських загарбників
🇺🇦
 Ракетні війська та артилерія уразили три пункти управління, чотири райони зосередження та два склади боєприпасів окупантів.
💥
✈
 Українська авіація завдала 4 удари по районах зосередження ворога.
🔥
🎞
 Більше – у хроніці 341 доби великої визвольної війни.
Наша боротьба за свободу триває!
🇺🇦


[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]
🤯

Одиночный ПРОТЕСТ против готовки еды.
Кто-то сегодня останется без рождественского ужина.
ТРУХА
⚡
Одесса
 |
Прислать новость


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

### Guidelines for Identifying Loaded Language

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

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

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

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

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

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

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

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

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

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

[User]
«Они хотят убежать», - заявил Подоляк, отвечая на вопрос открытия границ.
«Не надо спекуляций. Что значит ограничение прав?
Кроме прав людей в Украине есть обязанность какая-то или нет? Или мы только о правах?
Что государство должно обеспечить чем-то, дать возможность выехать, дать возможность жить, как человек хочет.
Да, в мирное время все дадим. Но во время войны так не ставится вопрос. Хочешь пересечь границу?
То есть хочешь сказать, что Украина должна перестать существовать, потому что ты пересек границу. Потому что когда мы говорим «открыть границы для мужчин», это означает – кто хочет убежать от принятия мужского решения, а они хотят убежать»
Видишь, как много тебе давало государство - право жить, как ты хочешь. Не замечал? А так оно и было.
А теперь ты, собака, убежать хочешь? Нет уж, будь добр на фронт.  Убежать могут только друзья Зеленского и дети призывного возраста Данилова и Ко.
А ты отрабатывай право жить.


[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]
Пам’ятний день для українців.
Вісім років тому в ці дні наші мужні воїни вкотре показали ворогу свою міць і незламність у боях за Дебальцеве.
Утримуючи Дебальцевський виступ, українські захисники сковували переважаючі сили противника та зірвали плани бойовиків на масштабний наступ.
Слава нашим героям!
Вічна пам'ять воїнам, які звідти повернулись на щиті...
Їхні імена назавжди вписані в історію нашої держави, в історію нашої остаточної перемоги над російськими окупантами.
За нами правда!
За нами перемога!
🇺🇦
t.me/cherkaskaODA


[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]
Русские "сюрпризы" под Авдеевкой шокировали украинцев. И это только начало
С каждым днем положение украинских войск на фронте ухудшается,
пишет
 Fakt. Теперь им приходится ожидать ударов не только с воздуха, но и из-под земли.
"Русские копают туннели ближе к нашим позициям, во-первых, для маскировки, а во-вторых, чтобы неожиданно выйти к нашим линиям обороны", — утверждает украинский военный Антон Коцукон.
И это только начало неприятностей. Как прогнозирует польский генерал Вальдемар Скшипчак, Россия готовит Украине кое-что похуже. Планируются масштабные наступления этой зимой, а военные части пополнятся новоприбывшими россиянами, которые до настоящего времени проходили подготовку, считает он.


[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]
Ваня, визнай, що ти вдарив у штангу і всі копіпастери написали те, в чому ти сам був не впевнений.
Таке інколи буває, всі ми помиляємося, не зазнавайся!
UPD: щодо ранкового звіту, про який ми з тобою говорили, все-таки то був Шахед тоді
😂

UPD2: не розганяйте зраду, все 4.5.0
@operatyvnii


[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]
⚡
27 ноября не будет света в Чугуеве
По сообщению энергетиков, 27 ноября, в связи с ремонтными работами, отключат электроэнергию в городе Чугуев по следующим адресам:
▪
9.00-17.00: ул. Литвиновая, ул. Манежно, ул. Староникольская, 50-54;
▪
14.00-16.00: ул. Верхняя Успенская (бывшая Горького), ул. Купальный спуск, ул. Речная, ул. Якова Остряницы, ул. Гвардейская, 5-26, ул. Литвиновая, ул. Манежно, ул. Староникольская, 50-64.


[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 Уповноваженим Президента України з питань реабілітації учасників бойових дій Вадимом Свириденком з робочим візитом відвідав Чернівецький обласний госпіталь ветеранів війни.
Зокрема, ознайомилися з роботою закладу в умовах війни та обговорили з працівниками його нагальні потреби.
💊
Здоров’я та реабілітація наших захисників – це пріоритет №1. Маємо подбати, аби їхнє відновлення проходило ефективно й було на найвищому рівні.
📍
Для того, аби надавати якісні реабілітаційні послуги, госпіталю потрібно придбати певне медичне обладнання та провести навчання для персоналу.


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

### Guidelines for Identifying Loaded Language

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

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

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

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

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

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

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

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

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

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

[User] Байден во время своей ответной речи Путину заявил, что "НАТО сохранило свое единство как никогда ранее". Из его уст бы да мед пить. Никто в НАТО нас непосредственно защищать не собирается, даже англичане и поляки. Все нами только пользуются в своих корыстных целях. Где он это единство увидел? Из-за танков даже перегрызлись. А глава МИД Словакии Качер даже обматерил премьер-министра Венгрии Орбана из-за его позиции по Украине и желания соблюсти свои национальные интересы, в то время как той же Словакии партнеры по НАТО "выкручивают руки", чтобы максимально выжать из страны все что только можно, чтобы отправить в Украину.


[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]
«Тихо зайшли, тихо відійшли» – це гасло спеціалістів інженерно-саперної справи. Від їхньої роботи залежить просування ворожих сил на конкретних ділянках і не можливість пройти вперед. При зупинці техніки, деморалізована піхота фактично стає.
«Мінуємо шляхи підходу противника до наших позицій. Проходи як для техніки так і піхоти, які хочуть дійти до наших країв. На тій ділянці, де робимо це ми, нещодавно вже 4 одиниці ворожої техніки зупинили – два танки і дві БМП чи МТ-ЛБ» - розповідає Олександр «Техас», головний сержант інженерно-саперної роти 46 окрема аеромобільна бригада ДШВ ЗС України
Підрозділ Олександра мінує все, куди може пройти ворог – дороги, поля.
«Все закривається так, що проходу не буде. Ну і готуємо для ворога сюрприз. Воно ще не використане, - сміється «Техас».
 Хочеться, щоб усе якнайшвидше закінчилося і додому. А поки – гнатимемо ворога. Хлопці, які зі мною поруч – найкращі люди цієї країни»
Служба зв’язків з громадськістю Командування Десантно-штурмових військ Збройних Сил 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]
«Кто научит своих не бросать?»
  — песня о наших защитниках от инструкторов Центра «ВОИН»
В Тюменской области завершился интенсив «Наставники специального назначения», в конце которого спели о связи поколений, защищающих Отчизну.
Автор песни — донецкий инструктор
Максим Сухинин.
@AG_DPR


[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]
📹
Гуманитарная помощь в преддверии дня молодежи для 14 школы Иловайска
Фонд "География сердца" и межрегиональная общественная организация "ВЕЧЕ", при поддержке 1 Донецкого армейского корпуса, доставили в 14 школу Иловайска литературу, а так же учебные пособия, которые необходимы школе для качественной работы. Так же в рамках данной акции общественной организации «от сердца к сердцу» Иловайска были переданы подарки для детей ко дню молодежи.
Подписывайтесь
 на телеграмм канал Народная милиция ДНР, чтобы увидеть войну нашими глазами


[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]
Треш! Ще одна жахлива аварія в Києві

🤯
На проспекті Бандери зіткнулись дві тачки і трактор. Є постраждалі.
UPD:
водій бмв загинув.
Труха
⚡
Київ
 |
Надіслати новину


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

### Guidelines for Identifying Loaded Language

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

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

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

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

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

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

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

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

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

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

[User]
«Матрица имеет тебя»
Вчера я посмотрел интересный эфир с одноименным названием, решил подсуммировать сказанное и тем самым углубить свое понимание. Получился следующий конспект. А ссылки на каналы спикеров и на сам эфир оставлю ниже.
Экспансивное потребление — путь человека сегодня.
Такое заключение можно сделать из наблюдений за состоянием вещей в мире:
1 - чем больше ресурсов, тем лучше выживать;
2 - современная экономика держится на потреблении ресурсов, что создает условия занятости и обогащения причастных к процессу.
В то же время - «Суета сует! – сказал Екклесиаст. – Суета сует, все суета!»
Человек, добившийся вершин своего времени, удручен положением дел. Такое ощущение, что человечество - это подрастающий индивид, который пока что занят оформлением «подушки безопасности на старость». Такое ощущение, что у него она уже есть, и пора бы выдохнуть, но мы упорно давим соки дальше, потому что не знаем чем ещё заняться. Хотя проблем в мире больше чем достаточно.
Погоня за миром — бегство от духа.
Существует определение, что человек - это человек досуга. Простив тавтологию, можно заметить разницу между формами существования индивида. Человек разорван, двоякий, двусторонний, связующий, казалось бы, разных миров — материи и духа. Мы слышим то, что диктует нам мир, но странным образом отвечаем ему не так, как остальные животные, и именно это поставило нас впереди планеты всей. В чем дело? Каков наш ответ?
Что за материей? Обратная сторона вещей.
Философия начинается с удивления. Когда-то давно меня поразила, и сейчас обжигает при касании к ней, мысль — а где находится Всё? По-моему, я смотрел на звезды ночью, и задал себе этот вопрос — что есть такое, что больше чем это все, и что его бы уместило? Не меньшее удивление мне подарило осознание что чашка сделана из глины, глина из молекул, они — из атомов, и так далее, а где стоп? Получается странное месиво объяснительных схем — в обе стороны бездна, а тогда, на что опереться?
Сродность «затылков» человека и предметов, или откуда у ножа оттенки?
Странным образом один и тот же предмет может нести разное значение. Одно и то же слово может быть и добрым и злым. А откуда берется окраска? Человек оказывается носителем информации, которую на него «записали». Чего бл*ть!? Вот мы сталкиваемся с поступком, мыслью, предметом, и оно как будто цепляется за нас, почему-то не дает пройти мимо, подсвечивается как важный айтем в игре. Но если предметы и слова сами по себе ничего не значат, то что в нас вызывает отклик на них? И что первично - значение или порядок разрозненных букв? Мне почему-то ощущается что оно приходит откуда-то сзади, поэтому и использовал метафору затылка. Теперь осталось найти этот самый зад…
Канал Дмитрия Пастернака-Таранушенко:
https://t.me/pasternak_taranushenko
Канал Юрия Романенко:
https://t.me/romanenko_dns
Ссылка на эфир:
https://www.youtube.com/live/PU4KusahuXw?si=vF7TmBzpGSpAyZF9


[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] 17 сентября 1939 года СССР вступил во Вторую мировую войну на стороне гитлеровской Германии. Сначала они вместе раздербанили Польшу, потом Сталин напал на Финляндию и захватил страны Балтии. В это время Гитлер оккупировал Норвегию, Данию, Нидерланды, Францию, Бельгию.