Perverse Downstream Consequences of Debunking: Being Corrected by Another User for Posting False Political News Increases Subsequent Sharing of Low Quality, Partisan, and Toxic Content in a Twitter Field Experiment

Mohsen Mosleh, Cameron Martel, Dean Eckles, David G. Rand. Perverse Downstream Consequences of Debunking: Being Corrected by Another User for Posting False Political News Increases Subsequent Sharing of Low Quality, Partisan, and Toxic Content in a Twitter Field Experiment. In Yoshifumi Kitamura, Aaron Quigley, Katherine Isbister, Takeo Igarashi, Pernille Bjørn, Steven Mark Drucker, editors, CHI '21: CHI Conference on Human Factors in Computing Systems, Virtual Event / Yokohama, Japan, May 8-13, 2021. ACM, 2021. [doi]

@inproceedings{MoslehMER21,
  title = {Perverse Downstream Consequences of Debunking: Being Corrected by Another User for Posting False Political News Increases Subsequent Sharing of Low Quality, Partisan, and Toxic Content in a Twitter Field Experiment},
  author = {Mohsen Mosleh and Cameron Martel and Dean Eckles and David G. Rand},
  year = {2021},
  doi = {10.1145/3411764.3445642},
  url = {https://doi.org/10.1145/3411764.3445642},
  researchr = {https://researchr.org/publication/MoslehMER21},
  cites = {0},
  citedby = {0},
  booktitle = {CHI '21: CHI Conference on Human Factors in Computing Systems, Virtual Event / Yokohama, Japan, May 8-13, 2021},
  editor = {Yoshifumi Kitamura and Aaron Quigley and Katherine Isbister and Takeo Igarashi and Pernille Bjørn and Steven Mark Drucker},
  publisher = {ACM},
  isbn = {978-1-4503-8096-6},
}