Folk Models of Misinformation on Social Media
Filipo Sharevski, Amy Devine, Emma Pieroni, Peter Jachim
摘要
In this paper we investigate what folk models of misinformation exist through semi-structured interviews with a sample of 235 social media users. Work on social media misinformation does not investigate how ordinary users - the target of misinformation - deal with it; rather, the focus is mostly on the anxiety, tensions, or divisions misinformation creates. Studying the aspects of creation, diffusion and amplification also overlooks how misinformation is internalized by users on social media and thus is quick to prescribe"inoculation"strategies for the presumed lack of immunity to misinformation. How users grapple with social media content to develop"natural immunity"as a precursor to misinformation resilience remains an open question. We have identified at least five folk models that conceptualize misinformation as either: political (counter)argumentation, out-of-context narratives, inherently fallacious information, external propaganda, or simply entertainment. We use the rich conceptualizations embodied in these folk models to uncover how social media users minimize adverse reactions to misinformation encounters in their everyday lives.
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 Paper3
- Specious Sites: Tracking the Spread and Sway of Spurious News Stories at ScaleHans W. A. Hanley, Deepak Kumar, Zakir DurumericS&P 2024 · 被引用 18 次
- Children, Parents, and Misinformation on Social MediaFilipo Sharevski, Jennifer Vander LoopS&P 2024 · 被引用 9 次
- Impact Tracing: Identifying the Culprit of Misinformation in Encrypted Messaging SystemsZhongming Wang, Tao Xiang, Xiaoguo Li, Biwen Chen 等NDSS 2025
它引用的顶会 Paper6
- Fake News on Facebook and Twitter: Investigating How People (Don't) InvestigateChristine Geeng, Savanna Yee, Franziska RoesnerCHI 2020 · 被引用 154 次
- Countering Fake News: A Comparison of Possible Solutions Regarding User Acceptance and EffectivenessJan Kirchner, Christian ReuterCSCW 2020 · 被引用 89 次
- The Surprising Performance of Simple Baselines for Misinformation DetectionKellin Pelrine, Jacob Danovitch, Reihaneh RabbanyWWW 2021 · 被引用 79 次
- ChamberBreaker: Mitigating the Echo Chamber Effect and Supporting Information Hygiene through a Gamified Inoculation SystemYoungseung Jeon, Bogoan Kim, Aiping Xiong, Dongwon Lee 等CSCW 2021 · 被引用 41 次
- That's Fake News! Reliability of News When Provided Title, Image, Source Bias & Full ArticleFrancesca Spezzano, Anu Shrestha, Jerry Alan Fails, Brian W. StoneCSCW 2021 · 被引用 22 次
相关 Paper
- Seeing is Not Believing: A Nuanced View of Misinformation Warning Efficacy on Video-Sharing Social Media PlatformsChen Guo, Nan Zheng, Chengqi (John) GuoCSCW 2023 · 被引用 27 次
- Adherence to Misinformation on Social Media Through Socio-Cognitive and Group-Based ProcessesAlexandros Efstratiou, Emiliano De CristofaroCSCW 2022 · 被引用 23 次
- Conversational Inoculation to Enhance Resistance to MisinformationDániel Szabó, Chi-Lan Yang, Aku Visuri, Jonas Oppenlaender 等CHI 2026 · 被引用 1 次
- Others Are to Blame: Whom People Consider Responsible for Online MisinformationGabriel Lima, Jiyoung Han, Meeyoung ChaCSCW 2022 · 被引用 17 次
- Reinforcement Learning-based Counter-Misinformation Response Generation: A Case Study of COVID-19 Vaccine MisinformationBing He, Mustaque Ahamad, Srijan KumarWWW 2023 · 被引用 62 次
