@article{TEXTUAL,
      recid = {14457},
      author = {Kim, Junsol and Wang, Zhao and Shi, Haohan and Ling,  Hsin-Keng and Evans, James},
      title = {Differential impact from individual versus collective  misinformation tagging on the diversity of Twitter (X)  information engagement and mobility},
      journal = {Nature Communications},
      address = {2025-01-24},
      number = {TEXTUAL},
      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.},
      url = {http://knowledge.uchicago.edu/record/14457},
}