A Browser Extension for in-place Signaling and Assessment of Misinformation
Farnaz Jahanbakhsh, David R. Karger
摘要
The status-quo of misinformation moderation is a central authority, usually social platforms, deciding what content constitutes misinformation and how it should be handled. However, to preserve users’ autonomy, researchers have explored democratized misinformation moderation. One proposition is to enable users to assess content accuracy and specify whose assessments they trust. We explore how these affordances can be provided on the web, without cooperation from the platforms where users consume content. We present a browser extension that empowers users to assess the accuracy of any content on the web and shows the user assessments from their trusted sources in-situ. Through a two-week user study, we report on how users perceive such a tool, the kind of content users want to assess, and the rationales they use in their assessments. We identify implications for designing tools that enable users to moderate content for themselves with the help of those they trust.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
引用它的顶会 Paper11
- Private Yet Social: How LLM Chatbots Support and Challenge Eating Disorder RecoveryRyuhaerang Choi, Taehan Kim, Subin Park, Jennifer G. Kim 等CHI 2025 · 被引用 18 次
- Social Media for Activists: Reimagining Safety, Content Presentation, and WorkflowsAnna Ricarda Luther, Hendrik Heuer, Stephanie Geise, Sebastian Haunss 等CHI 2025 · 被引用 13 次
- Designing Accessible Audio Nudges for Voice InterfacesHira Jamshed, Novia Nurain, Robin N. BrewerCHI 2025 · 被引用 8 次
- Understanding the Effects of AI-based Credibility Indicators When People Are Influenced By Both Peers and ExpertsZhuoran Lu, Patrick Li, Weilong Wang, Ming YinCHI 2025 · 被引用 6 次
- Community Fact-Checks Trigger Moral Outrage in Replies to Misleading Posts on Social MediaYuwei Chuai, Anastasia Sergeeva, Gabriele Lenzini, Nicolas PröllochsCHI 2025 · 被引用 5 次
它引用的顶会 Paper13
- Effects of Credibility Indicators on Social Media News Sharing IntentWaheeb Yaqub, Otari Kakhidze, Morgan L. Brockman, Nasir D. Memon 等CHI 2020 · 被引用 170 次
- Exploring Lightweight Interventions at Posting Time to Reduce the Sharing of Misinformation on Social MediaFarnaz Jahanbakhsh, Amy X. Zhang, Adam J. Berinsky, Gordon Pennycook 等CSCW 2021 · 被引用 116 次
- Birds of a feather don't fact-check each other: Partisanship and the evaluation of news in Twitter's Birdwatch crowdsourced fact-checking programJennifer Allen, Cameron Martel, David G. RandCHI 2022 · 被引用 104 次
- NudgeCred: Supporting News Credibility Assessment on Social Media Through NudgesMd Momen Bhuiyan, Michael A. Horning, Sang Won Lee, Tanushree MitraCSCW 2021 · 被引用 72 次
- Designing Word Filter Tools for Creator-led Comment ModerationShagun Jhaver, Quan Ze Chen, Detlef Knauss, Amy X. ZhangCHI 2022 · 被引用 70 次
相关 Paper
- Leveraging Structured Trusted-Peer Assessments to Combat MisinformationFarnaz Jahanbakhsh, Amy X. Zhang, David R. KargerCSCW 2022 · 被引用 41 次
- Fake News on Facebook and Twitter: Investigating How People (Don't) InvestigateChristine Geeng, Savanna Yee, Franziska RoesnerCHI 2020 · 被引用 154 次
- Our Browser Extension Lets Readers Change the Headlines on News Articles, and You Won't Believe What They Did!Farnaz Jahanbakhsh, Amy X. Zhang, Karrie Karahalios, David R. KargerCSCW 2022 · 被引用 9 次
- Exploring the Use of Personalized AI for Identifying Misinformation on Social MediaFarnaz Jahanbakhsh, Yannis Katsis, Dakuo Wang, Lucian Popa 等CHI 2023 · 被引用 42 次
- Will the Crowd Game the Algorithm?: Using Layperson Judgments to Combat Misinformation on Social Media by Downranking Distrusted SourcesZiv Epstein, Gordon Pennycook, David G. RandCHI 2020 · 被引用 68 次
