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Representative Ranking for Deliberation in the Public Sphere

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  • UserManon Revel (Google DeepMind)
  • ClockWednesday 11 March 2026, 15:00-16:00
  • HouseOnline.

If you have a question about this talk, please contact Yara Kyrychenko .

Online comment sections, such as those on news sites or social media, can foster informal public deliberation. However, this potential is often undermined by toxic or low-quality exchanges. To combat this, platforms increasingly leverage algorithms to facilitate higher-quality discussions, e.g., by using civility classifiers or forms of prosocial ranking. Yet, these interventions may also inadvertently reduce the visibility of legitimate viewpoints, undermining a key aspect of deliberation: representation of diverse views. This paper adopts the notion of justified representation (JR) from the social choice literature and incorporates a JR constraint into algorithms for ranking comments. We find that enforcing JR leads to greater inclusion of diverse viewpoints while still being compatible with optimizing for user engagement or other measures of conversational quality. This is joint work with Smitha Milli, Tyler Lu, Jamelle Watson-Daniels and Max Nickel

This talk is part of the Social Psychology Seminar Series (SPSS) series.

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