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Online Platform Content Moderation Policy Study

Paper Authors:

Brennan Schaffner,

Arjun Nitin Bhagoji,

Siyuan Cheng,

Jacqueline Mei,

Jay L. Shen,

Grace Wang,

Marshini Chetty,

Nick Feamster,

Genevieve Lakier,

Chenhao Tan

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Key Details

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

AI generated summary

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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