Bystanders of Online Moderation: Examining the Effects of Witnessing Post-Removal Explanations
Shagun Jhaver, Himanshu Rathi, Koustuv Saha
Abstract
Prior research on transparency in content moderation has demonstrated the benefits of offering post-removal explanations to sanctioned users. In this paper, we examine whether the influence of such explanations transcends those who are moderated to the bystanders who witness such explanations. We conduct a quasi-experimental study on two popular Reddit communities (r/AskReddit and r/science) by collecting their data spanning 13 months—a total of 85.5M posts made by 5.9M users. Our causal-inference analyses show that bystanders significantly increase their posting activity and interactivity levels as compared to their matched control set of users. In line with previous applications of Deterrence Theory on digital platforms, our findings highlight that understanding the rationales behind sanctions on other users significantly shapes observers’ behaviors. We discuss the theoretical implications and design recommendations of this research, focusing on how investing more efforts in post-removal explanations can help build thriving online communities.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext 622f9ba8-8991-4b4e-a113-30b6d1a8afd9Cited by top-tier papers7
- Does Positive Reinforcement Work?: A Quasi-Experimental Study of the Effects of Positive Feedback on RedditCharlotte Lambert, Koustuv Saha, Eshwar ChandrasekharanCHI 2025 · 24 citations
- Social Media for Activists: Reimagining Safety, Content Presentation, and WorkflowsAnna Ricarda Luther, Hendrik Heuer, Stephanie Geise, Sebastian Haunss et al.CHI 2025 · 13 citations
- Understanding the Prevalence of Caste: A Critical Discourse Analysis of Caste-based Marginalization on XNayana Kirasur, Shagun JhaverCSCW 2025 · 4 citations
- Post Guidance for Online CommunitiesManoel Horta Ribeiro, Robert West, Ryan Lewis, Sanjay KairamCSCW 2025 · 3 citations
- Echoes of Norms: Investigating Counterspeech Bots' Influence on Bystanders in Online CommunitiesMengyao Wang, Shuai Ma, Nuo Li, Peng Zhang et al.CHI 2026 · 1 citation
Builds on16
- Evaluating the Effectiveness of Deplatforming as a Moderation Strategy on TwitterShagun Jhaver, Christian Boylston, Diyi Yang, Amy S. BruckmanCSCW 2021 · 168 citations
- Reconsidering Self-Moderation: the Role of Research in Supporting Community-Based Models for Online Content ModerationJoseph SeeringCSCW 2020 · 151 citations
- Do Platform Migrations Compromise Content Moderation? Evidence from r/The_Donald and r/IncelsManoel Horta Ribeiro, Shagun Jhaver, Savvas Zannettou, Jeremy Blackburn et al.CSCW 2021 · 102 citations
- Personalizing Content Moderation on Social Media: User Perspectives on Moderation Choices, Interface Design, and LaborShagun Jhaver, Alice Qian Zhang, Quan Ze Chen, Nikhila Natarajan et al.CSCW 2023 · 87 citations
- "How advertiser-friendly is my video?": YouTuber's Socioeconomic Interactions with Algorithmic Content ModerationRenkai Ma, Yubo KouCSCW 2021 · 85 citations
Related papers
- Characterizing Reddit Participation of Users Who Engage in the QAnon Conspiracy TheoriesKristen Engel, Yiqing Hua, Taixiang Zeng, Mor NaamanCSCW 2022 · 14 citations
- Deplatforming Norm-Violating Influencers on Social Media Reduces Overall Online Attention Toward ThemManoel Horta Ribeiro, Shagun Jhaver, Jordi Cluet-i-Martinell, Marie Reignier-Tayar et al.CSCW 2025 · 8 citations
- "Defaulting to boilerplate answers, they didn't engage in a genuine conversation": Dimensions of Transparency Design in Creator ModerationRenkai Ma, Yubo KouCSCW 2023 · 12 citations
- Automated Content Moderation Increases Adherence to Community GuidelinesManoel Horta Ribeiro, Justin Cheng, Robert WestWWW 2023 · 53 citations
- The Effects and Non-Effects of Social Sanctions from User Jury-Based Content Moderation Decisions on WeiboAndy Zhao, Will HobbsCHI 2025 · 3 citations
