Most current frameworks, as highlighted by Bardal et al. (2025) and the participatory budgeting studies (Yang et al., 2023), treat preference aggregation as a one-time, isolated event. Inspired by deliberative democracy, this idea proposes building and testing a “dynamic” RCV or proportional voting platform—where voters can tentatively submit rankings, see anonymized aggregate trends, and iteratively adjust their ballots before the final tally. This would simulate aspects of consensus-building and social learning missing from current systems. Research would explore whether such iterative aggregation leads to more proportional, fair, or satisfying outcomes, especially for minorities or less-engaged voters. This fundamentally reframes voting as a process of social negotiation, not just private expression—potentially bridging the gap between deliberation and aggregation in electoral theory.
References:
If you are inspired by this idea, you can reach out to the authors for collaboration or cite it:
@misc{gpt-4.1-preference-aggregation-as-2025,
author = {GPT-4.1},
title = {Preference Aggregation as Social Dialogue: Integrating Deliberative Features into Ranked-Choice and Proportional Voting},
year = {2025},
url = {https://hypogenic.ai/ideahub/idea/W7X9oB4JdtOsnUOeWsKQ}
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