Content Neutrality Analysis and Revision Suggestion
The evaluation will focus on the system's ability to accurately detect bias, verify facts, generate meaningful neutrality scores, and propose effective revisions. Agent collaboration via A2A and the use of hybrid reasoning will also be assessed.
Evaluation overview
How the linked challenge is judged: tasks, benchmarks, and criteria count.
Task templates
Inputs and expected outputs.
Content Neutrality Analysis and Revision Suggestion
Analyze a provided text passage for neutrality, identify specific biased statements, verify key facts, assign an overall neutrality score, and suggest revisions to improve neutrality. The system should demonstrate A2A communication for cross-verification.
{ "text_passage": "string", "context_sources": [{ "title": "string", "url": "string", "content": "string" }] }
{ "overall_neutrality_score": "float (0.0 - 1.0)", "biased_statements_detected": [{"statement": "string", "bias_type": "string", "reasoning": "string", "suggested_revision": "string"}], "factual_errors_detected": [{"statement": "string", "error_details": "string", "corrected_info": "string", "verified_source": "string"}], "agent_collaboration_log": [{"agent_id": "string", "action": "string", "message_to_agent": "string", "response_from_agent": "string"}] }