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Cleaning Up the Streets: Understanding Motivations, Mental Models, and Concerns of Users Flagging Social Media Content

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arxiv 2309.06688 v3 pith:IGERKDN4 submitted 2023-09-13 cs.HC

classification cs.HC
keywords flaggingusersmediaplatformssocialcognitiveconcernsharm
verification ladder T0 review T1 audit T2 compute T3 formal
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Social media platforms offer flagging, a technical feature that empowers users to report inappropriate posts or bad actors to reduce online harm. The deceptively simple flagging interfaces on nearly all major social media platforms disguise complex underlying interactions among users, algorithms, and moderators. Through interviewing 25 social media users with prior flagging experience, most of whom belong to marginalized groups, we examine end-users' understanding of flagging procedures, explore the factors that motivate them to flag, and surface their cognitive and privacy concerns. We found that a lack of procedural transparency in flagging mechanisms creates gaps in users' mental models, yet they strongly believe that platforms must provide flagging options. Our findings highlight how flags raise critical questions about distributing labor and responsibility between platforms and users for addressing online harm. We recommend innovations in the flagging design space that enhance user comprehension, ensure privacy, and reduce cognitive burdens.

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Cited by 4 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

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    cs.HC 2025-09 conditional novelty 6.0 of 10

    Blind and low-vision users face learning, compliance, and psychological costs when using moderation tools on Facebook and X, due to poor accessibility design.

  3. The Pin of Shame: Examining Content Creators' Adoption of Pinning Inappropriate Comments as a Moderation Strategy

    cs.HC 2025-05 conditional novelty 6.0 of 10

    Creators pin negative comments to invite public shaming as a moderation tactic, gaining social support and norm enforcement while risking emotional strain and escalation.

  4. Reply, Delete, or Ignore? Examining How Content Creators Perceive and Select Comment Moderation Strategies

    cs.HC 2026-08 conditional novelty 5.0 of 10

    Content creators' moderation choices (delete, reply, ignore) are driven by perceived safety and public image benefits, but not by expected algorithmic rewards; deletion is seen as safest, replying as most algorithmica...

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