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SUMMARY:Representative Ranking for Deliberation in the Public Sphere - Man
 on Revel (Google DeepMind)
DTSTART:20260311T150000Z
DTEND:20260311T160000Z
UID:TALK242026@talks.cam.ac.uk
CONTACT:Yara Kyrychenko
DESCRIPTION:Online comment sections\, such as those on news sites or socia
 l media\, can foster informal public deliberation. However\, this potentia
 l is often undermined by toxic or low-quality exchanges. To combat this\, 
 platforms increasingly leverage algorithms to facilitate higher-quality di
 scussions\, e.g.\, by using civility classifiers or forms of prosocial ran
 king. Yet\, these interventions may also inadvertently reduce the visibili
 ty of legitimate viewpoints\, undermining a key aspect of deliberation: re
 presentation of diverse views. This paper adopts the notion of justified r
 epresentation (JR) from the social choice literature and incorporates a JR
  constraint into algorithms for ranking comments. We find that enforcing J
 R leads to greater inclusion of diverse viewpoints while still being compa
 tible with optimizing for user engagement or other measures of conversatio
 nal quality. This is joint work with Smitha Milli\, Tyler Lu\, Jamelle Wat
 son-Daniels and Max Nickel
LOCATION:Online
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