Content Moderation Justice and Fairness on Social Media: Comparisons Across Different Contexts and Platforms

Jie Cai, Aashka Patel, Azadeh Naderi, Donghee Yvette Wohn

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Social media users may perceive moderation decisions by the platform differently, which can lead to frustration and dropout. This study investigates users' perceived justice and fairness of online moderation decisions when they are exposed to various illegal versus legal scenarios, retributive versus restorative moderation strategies, and user-moderated versus commercially moderated platforms. We conduct an online experiment on 200 American social media users of Reddit and Twitter. Results show that retributive moderation delivers higher justice and fairness for commercially moderated than for user-moderated platforms in illegal violations; restorative moderation delivers higher fairness for legal violations than illegal ones. We discuss the opportunities for platform policymaking to improve moderation system design.

Original languageEnglish (US)
Title of host publicationCHI 2024 - Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Sytems
PublisherAssociation for Computing Machinery
ISBN (Electronic)9798400703317
DOIs
StatePublished - May 11 2024
Event2024 CHI Conference on Human Factors in Computing Sytems, CHI EA 2024 - Hybrid, Honolulu, United States
Duration: May 11 2024May 16 2024

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference2024 CHI Conference on Human Factors in Computing Sytems, CHI EA 2024
Country/TerritoryUnited States
CityHybrid, Honolulu
Period5/11/245/16/24

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design
  • Software

Keywords

  • Content Moderation
  • Justice and Fairness
  • Platform Governance
  • Policymaking
  • Social Media

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