Representative Ranking for Deliberation in the Public Sphere

March 19, 2025 Β· Declared Dead Β· πŸ› International Conference on Machine Learning

πŸ‘» CAUSE OF DEATH: Ghosted
No code link whatsoever

"No code URL or promise found in abstract"

Evidence collected by the PWNC Scanner

Authors Manon Revel, Smitha Milli, Tyler Lu, Jamelle Watson-Daniels, Max Nickel arXiv ID 2503.18962 Category cs.SI: Social & Info Networks Cross-listed cs.LG Citations 4 Venue International Conference on Machine Learning Last Checked 4 months ago
Abstract
Online comment sections, such as those on news sites or social media, have the potential to foster informal public deliberation, However, this potential is often undermined by the frequency of toxic or low-quality exchanges that occur in these settings. To combat this, platforms increasingly leverage algorithmic ranking 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 another key aspect of deliberation: representation of diverse views. We seek to remedy this problem by introducing guarantees of representation into these methods. In particular, we adopt the notion of justified representation (JR) from the social choice literature and incorporate a JR constraint into the comment ranking setting. 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.
Community shame:
Not yet rated
Community Contributions

Found the code? Know the venue? Think something is wrong? Let us know!

πŸ“œ Similar Papers

In the same crypt β€” Social & Info Networks

Died the same way β€” πŸ‘» Ghosted