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个体与集体错误信息标记对推特(X)信息参与度和传播多样性的差异影响。

Differential impact from individual versus collective misinformation tagging on the diversity of Twitter (X) information engagement and mobility.

作者信息

Kim Junsol, Wang Zhao, Shi Haohan, Ling Hsin-Keng, Evans James

机构信息

Department of Sociology, University of Chicago, Chicago, IL, USA.

Computational Social Science, University of Chicago, Chicago, IL, USA.

出版信息

Nat Commun. 2025 Jan 24;16(1):973. doi: 10.1038/s41467-025-55868-0.

Abstract

Fears about the destabilizing impact of misinformation online have motivated individuals and platforms to respond. Individuals have increasingly challenged others' online claims with fact-checks in pursuit of a healthier information ecosystem and to break down echo chambers of self-reinforcing opinion. Using Twitter (now X) data, here we show the consequences of individual misinformation tagging: tagged posters had explored novel political information and expanded topical interests immediately prior, but being tagged caused posters to retreat into information bubbles. These unintended consequences were softened by a collective verification system for misinformation moderation. In Twitter's new feature, Community Notes, misinformation tagging was peer-reviewed by other fact-checkers before revelation to the poster. With collective misinformation tagging, posters were less likely to retreat from diverse information engagement. Detailed comparison demonstrated differences in toxicity, sentiment, readability, and delay in individual versus collective misinformation tagging messages. These findings provide evidence for differential impacts from individual versus collective moderation strategies on the diversity of information engagement and mobility across the information ecosystem.

摘要

对网络错误信息造成不稳定影响的担忧促使个人和平台做出回应。个人越来越多地通过事实核查来挑战他人在网上的说法,以追求更健康的信息生态系统,并打破自我强化观点的回音室。利用推特(现称X)的数据,我们在此展示了个人错误信息标记的后果:被标记的发帖者此前曾探索过新颖的政治信息并扩大了话题兴趣,但被标记导致发帖者退缩到信息泡沫中。错误信息审核的集体验证系统缓解了这些意外后果。在推特的新功能“社区笔记”中,错误信息标记在向发帖者展示之前会由其他事实核查人员进行同行评审。通过集体错误信息标记,发帖者不太可能从多样化的信息参与中退缩。详细比较表明,个人与集体错误信息标记信息在毒性、情绪、可读性和延迟方面存在差异。这些发现为个人与集体审核策略对信息参与多样性和信息生态系统中流动性的不同影响提供了证据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3aad/11760358/8675971bfc05/41467_2025_55868_Fig1_HTML.jpg

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