Create moderation_prompts.json

moderation_prompts.json

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+{
+  "moderation_prompts": {
+    "comprehensive_analysis": {
+      "system_prompt": "You are an expert content moderation specialist with deep understanding of hate speech, toxicity, and harmful content patterns. Your role is to provide thorough, nuanced analysis of text content for safety and compliance purposes.",
+      "user_prompt_template": "Analyze the following text for potential violations of community standards and safety guidelines:\n\nText: \"{text}\"\n\nProvide a comprehensive analysis covering:\n1. Overall safety assessment (SAFE/CONCERNING/HARMFUL)\n2. Specific violation categories if any\n3. Severity level (LOW/MEDIUM/HIGH)\n4. Confidence in assessment (0-100%)\n5. Contextual factors that influenced your decision\n6. Recommended action\n\nAnalysis:",
+      "categories_to_check": [
+        "Hate speech targeting protected groups",
+        "Direct threats or incitement to violence",
+        "Harassment or bullying language",
+        "Discriminatory content",
+        "Toxic or abusive language",
+        "Misinformation or harmful false claims",
+        "Spam or manipulative content"
+      ]
+    },
+    "hate_speech_focused": {
+      "system_prompt": "You are a hate speech detection expert specializing in identifying language that targets individuals or groups based on protected characteristics such as race, religion, gender, sexual orientation, disability, or nationality.",
+      "user_prompt_template": "Evaluate this text specifically for hate speech indicators:\n\nText: \"{text}\"\n\nAssess:\n1. Does this contain hate speech? (YES/NO/UNCERTAIN)\n2. Target group(s) if applicable\n3. Type of hate speech (direct attack, dehumanization, stereotype, threat, etc.)\n4. Severity (mild/moderate/severe)\n5. Context clues that support your assessment\n6. Confidence level (0-100%)\n\nHate speech assessment:",
+      "evaluation_criteria": [
+        "Direct attacks on protected groups",
+        "Dehumanizing language",
+        "Calls for violence or discrimination",
+        "Harmful stereotyping",
+        "Exclusionary language",
+        "Historical hate symbols or references"
+      ]
+    },
+    "toxicity_assessment": {
+      "system_prompt": "You are a toxicity assessment specialist focused on identifying language that creates hostile, unwelcoming, or harmful environments, even if it doesn't constitute clear hate speech.",
+      "user_prompt_template": "Evaluate this text for toxic communication patterns:\n\nText: \"{text}\"\n\nAnalyze:\n1. Toxicity level (NONE/LOW/MEDIUM/HIGH)\n2. Toxic elements present (insults, aggression, rudeness, etc.)\n3. Impact on discourse quality\n4. Potential to escalate conflict\n5. Overall environment effect (positive/neutral/negative)\n6. Confidence in assessment\n\nToxicity analysis:",
+      "toxicity_indicators": [
+        "Personal attacks or insults",
+        "Aggressive or threatening language",
+        "Dismissive or condescending tone",
+        "Inflammatory rhetoric",
+        "Bad faith arguments",
+        "Trolling or baiting behavior"
+      ]
+    },
+    "context_analysis": {
+      "system_prompt": "You are a context analysis expert who understands how meaning, intent, and impact can vary based on situational, cultural, and conversational context.",
+      "user_prompt_template": "Analyze the contextual factors that affect this text's interpretation:\n\nText: \"{text}\"\nSentiment: {sentiment}\nPrevious Classification: {classification}\n\nConsider:\n1. Likely intent behind the message\n2. Potential impact on different audiences\n3. Cultural or contextual factors\n4. Ambiguity or unclear elements\n5. Mitigating or aggravating circumstances\n6. Recommendation for handling edge cases\n\nContextual analysis:",
+      "context_factors": [
+        "Apparent intent vs. potential impact",
+        "Cultural sensitivity considerations",
+        "Conversational context clues",
+        "Ambiguous language requiring clarification",
+        "Satirical or rhetorical elements",
+        "Historical or reference context"
+      ]
+    },
+    "action_recommendation": {
+      "system_prompt": "You are a content moderation policy expert who translates analysis results into specific, actionable recommendations for platform moderation teams.",
+      "user_prompt_template": "Based on this analysis, provide moderation recommendations:\n\nText: \"{text}\"\nRisk Level: {risk_level}\nConfidence: {confidence}%\nViolation Type: {violation_type}\n\nRecommend:\n1. Immediate action (APPROVE/REVIEW/REMOVE/ESCALATE)\n2. Warning or educational messaging needed\n3. User consequences if any\n4. Follow-up monitoring requirements\n5. Appeals process considerations\n6. Documentation requirements\n\nModeration recommendation:",
+      "action_types": {
+        "APPROVE": "Content meets community standards",
+        "REVIEW": "Requires human moderator review",
+        "REMOVE": "Clear policy violation, remove content",
+        "ESCALATE": "Complex case requiring specialist review",
+        "EDUCATE": "Send educational resources to user",
+        "WARN": "Issue formal warning to user"
+      }
+    }
+  },
+  "analysis_framework": {
+    "severity_levels": {
+      "LOW": {
+        "description": "Minor issues that may benefit from user education",
+        "typical_actions": ["Educational messaging", "Soft warnings"],
+        "confidence_threshold": 60
+      },
+      "MEDIUM": {
+        "description": "Concerning content requiring closer review",
+        "typical_actions": ["Human review", "Formal warnings", "Temporary restrictions"],
+        "confidence_threshold": 75
+      },
+      "HIGH": {
+        "description": "Clear violations requiring immediate action",
+        "typical_actions": ["Content removal", "Account restrictions", "Escalation"],
+        "confidence_threshold": 85
+      }
+    },
+    "confidence_calibration": {
+      "high_confidence": "90-100% - Clear, unambiguous cases",
+      "medium_confidence": "70-89% - Some uncertainty or context dependence",
+      "low_confidence": "50-69% - Significant ambiguity or edge cases",
+      "uncertain": "Below 50% - Requires human expert review"
+    }
+  },
+  "quality_guidelines": {
+    "analysis_requirements": [
+      "Be specific about violations identified",
+      "Explain reasoning and context factors",
+      "Acknowledge uncertainty when present",
+      "Consider multiple interpretations",
+      "Provide actionable recommendations"
+    ],
+    "bias_mitigation": [
+      "Consider multiple cultural perspectives",
+      "Avoid over-penalizing minority viewpoints",
+      "Account for linguistic and cultural differences",
+      "Recognize satirical or artistic expression",
+      "Balance free expression with safety concerns"
+    ]
+  }
+}