@inproceedings{f9c7886cefa34c919b2122ffd462ebe3,
title = "Content Moderation Justice and Fairness on Social Media: Comparisons Across Different Contexts and Platforms",
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.",
keywords = "Content Moderation, Justice and Fairness, Platform Governance, Policymaking, Social Media",
author = "Jie Cai and Aashka Patel and Azadeh Naderi and Wohn, {Donghee Yvette}",
note = "Publisher Copyright: {\textcopyright} 2024 Association for Computing Machinery. All rights reserved.; 2024 CHI Conference on Human Factors in Computing Sytems, CHI EA 2024 ; Conference date: 11-05-2024 Through 16-05-2024",
year = "2024",
month = may,
day = "11",
doi = "10.1145/3613905.3650882",
language = "English (US)",
series = "Conference on Human Factors in Computing Systems - Proceedings",
publisher = "Association for Computing Machinery",
booktitle = "CHI 2024 - Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Sytems",
}