Published on:
8 May 2024
Primary Category:
Human-Computer Interaction
Paper Authors:
Brennan Schaffner,
Arjun Nitin Bhagoji,
Siyuan Cheng,
Jacqueline Mei,
Jay L. Shen,
Grace Wang,
Marshini Chetty,
Nick Feamster,
Genevieve Lakier,
Chenhao Tan
Performed first large-scale study of moderation policies across 43 top online platforms
Focused analysis on copyright, harmful speech, and misleading content policies
Built custom web scraper and annotation scheme to gather and analyze policies
Found major variation in policy structure, composition, and completeness across platforms and topics
Laid groundwork for future research into online moderation policies
Online Platform Content Moderation Policy Study
This paper analyzes content moderation policies from 43 major online platforms to understand their approaches to moderating copyright infringement, harmful speech, and misleading content. Using a custom web scraper and unified annotation scheme, the authors find significant variation across platforms and topics attributable to differing legal regimes. The paper lays groundwork for studying evolving moderation policies and their impacts.
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