Randomized trial demonstrates AI-driven system boosts civic engagement, indicating improved policy feedback mechanisms.
The Debate to Demand project presents an intelligent digital platform designed to facilitate structured debates and transform collective opinions into actionable social demands. The system integrates Natural Language Processing (NLP) and sentiment analysis techniques to evaluate arguments, measure audience engagement, and summarize consensus points. Using a machine learning model, the platform identifies trending issues and generates data-driven insights that can be forwarded to policy makers and organizations. This approach bridges the gap between public discourse and decision-making by converting debate outcomes into meaningful policy suggestions. The research highlights the technical design, algorithmic framework, and usability analysis of the system, emphasizing its role in promoting transparent, data-backed civic participation.
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Shikalagar et al. (2026) studied this question.
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