"Community Guidelines Make this the Best Party on the Internet": An In-Depth Study of Online Platforms' Content Moderation Policies
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arXiv
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| Main Authors: | , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866917661601955840 |
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| author | Schaffner, Brennan Bhagoji, Arjun Nitin Cheng, Siyuan Mei, Jacqueline Shen, Jay L. Wang, Grace Chetty, Marshini Feamster, Nick Lakier, Genevieve Tan, Chenhao |
| author_facet | Schaffner, Brennan Bhagoji, Arjun Nitin Cheng, Siyuan Mei, Jacqueline Shen, Jay L. Wang, Grace Chetty, Marshini Feamster, Nick Lakier, Genevieve Tan, Chenhao |
| contents | Moderating user-generated content on online platforms is crucial for balancing user safety and freedom of speech. Particularly in the United States, platforms are not subject to legal constraints prescribing permissible content. Each platform has thus developed bespoke content moderation policies, but there is little work towards a comparative understanding of these policies across platforms and topics. This paper presents the first systematic study of these policies from the 43 largest online platforms hosting user-generated content, focusing on policies around copyright infringement, harmful speech, and misleading content. We build a custom web-scraper to obtain policy text and develop a unified annotation scheme to analyze the text for the presence of critical components. We find significant structural and compositional variation in policies across topics and platforms, with some variation attributable to disparate legal groundings. We lay the groundwork for future studies of ever-evolving content moderation policies and their impact on users. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_05225 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | "Community Guidelines Make this the Best Party on the Internet": An In-Depth Study of Online Platforms' Content Moderation Policies Schaffner, Brennan Bhagoji, Arjun Nitin Cheng, Siyuan Mei, Jacqueline Shen, Jay L. Wang, Grace Chetty, Marshini Feamster, Nick Lakier, Genevieve Tan, Chenhao Human-Computer Interaction Social and Information Networks Moderating user-generated content on online platforms is crucial for balancing user safety and freedom of speech. Particularly in the United States, platforms are not subject to legal constraints prescribing permissible content. Each platform has thus developed bespoke content moderation policies, but there is little work towards a comparative understanding of these policies across platforms and topics. This paper presents the first systematic study of these policies from the 43 largest online platforms hosting user-generated content, focusing on policies around copyright infringement, harmful speech, and misleading content. We build a custom web-scraper to obtain policy text and develop a unified annotation scheme to analyze the text for the presence of critical components. We find significant structural and compositional variation in policies across topics and platforms, with some variation attributable to disparate legal groundings. We lay the groundwork for future studies of ever-evolving content moderation policies and their impact on users. |
| title | "Community Guidelines Make this the Best Party on the Internet": An In-Depth Study of Online Platforms' Content Moderation Policies |
| topic | Human-Computer Interaction Social and Information Networks |
| url | https://arxiv.org/abs/2405.05225 |