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Protocol for Systematic Comparison of Chatbot Responses to Contested Facts

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Develop a standardized checklist and workflow for submitting identical sensitive political or historical questions to multiple chatbots. Collect, anonymize, and

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A paper-based or spreadsheet checklist with 10-20 pre-selected sensitive questions, a template for recording chatbot responses, and a summary table. Operated by a small team (2-3 people) over one week, using publicly accessible chatbots. No personal data collected; all responses anonymized. Unvalidated hypothesis; full brief: /blog/when-chatbots-become-answer-engines-ai-geopoliti-2026-11-03 Source: Link

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Problem

A research team analyzed how major AI chatbots frame sensitive geopolitical issues. This project proposes a protocol for systematically comparing chatbot outputs on contested facts

What they are building

A paper-based or spreadsheet checklist with 10-20 pre-selected sensitive questions, a template for recording chatbot responses, and a summary table. Operated by a small team (2-3 people) over one week, using publicly accessible chatbots. No personal data collected; all responses anonymized. Unvalidated hypothesis; full brief: /blog/when-chatbots-become-answer-engines-ai-geopoliti-2026-11-03 Source: Link

Who it is for

Researchers, educators, journalists, and civil society groups concerned with information accuracy and narrative framing in AI chatbot outputs, especially in regions with contested histories.

Why it matters

Whether a standardized protocol enables more transparent, reproducible, and actionable comparison of chatbot outputs than ad hoc or anecdotal approaches. Test if the protocol reveals systematic framing differences. Proposed validation: Proposed pilot target: 10 questions, 3 chatbots, 2 reviewers, 1 week. Baseline: manual comparison without protocol. Success: at least 80% agreement between reviewers on categorization of framing and accuracy. Measured by inter-rater reliability and completeness of summa

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