journal article
Aug 21, 2019
Different Faces of False
Journal of Data and Information Quality
Vol. 11
No. 4
pp. 1-15
·
Association for Computing Machinery (ACM)
Abstract
The task of combating false information online appears daunting, in part due to a public focus on how quickly it can spread and the clamor for automated platform-based interventions. While such concerns can be warranted, threat analysis and intervention design both benefit from a fuller understanding of different types of false information and of the community responses to them. Here, we present a study of the most tweeted about movie ever (
Black Panther
) in which the spread of false information of four different types is compared to the ad hoc Twitter community response. We find that (1) false information tweets played a small part in the overall conversation, (2) community-based debunking and shaming responses to false posts about attacks at theaters overwhelmed such posts by orders of magnitude, (3) as another form of community response, one type of false narrative (Satire) was used to attack another (Fake Attacks), and (4) the four types of false-information tweets differed in the use of hashtags and in the role played by originating users and responding users. Overall, this work helps to illustrate the importance of investigating “on-the-ground” community responses to fake news and other types of digital false information and to inform identification and intervention design and implementation.
Black Panther
) in which the spread of false information of four different types is compared to the ad hoc Twitter community response. We find that (1) false information tweets played a small part in the overall conversation, (2) community-based debunking and shaming responses to false posts about attacks at theaters overwhelmed such posts by orders of magnitude, (3) as another form of community response, one type of false narrative (Satire) was used to attack another (Fake Attacks), and (4) the four types of false-information tweets differed in the use of hashtags and in the role played by originating users and responding users. Overall, this work helps to illustrate the importance of investigating “on-the-ground” community responses to fake news and other types of digital false information and to inform identification and intervention design and implementation.
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References
29
[2]
Barbieri Francesco
[3]
Benigni Matthew (2017)
[4]
David
[6]
Chamberlain P. R. "Twitter as a vector for disinformation" Journal of Information Warfare (2010)
[8]
Dailey Dharma (2014)
[9]
Dickerson John P.
[10]
Gibbs Adrienne (2018)
[11]
Maria Glenski Tim Weninger and Svitlana Volkova. 2018. Identifying and understanding user reactions to deceptive and trusted social news sources. Retrieved from: http://arxiv.org/abs/1805.12032. Maria Glenski Tim Weninger and Svitlana Volkova. 2018. Identifying and understanding user reactions to deceptive and trusted social news sources. Retrieved from: http://arxiv.org/abs/1805.12032.
10.18653/v1/p18-2029
[12]
Maria Glenski Tim Weninger and Svitlana Volkova. 2018. How humans versus bots react to deceptive and trusted news sources: A case study of active users. Retrieved from: http://arxiv.org/abs/1807.05327. Maria Glenski Tim Weninger and Svitlana Volkova. 2018. How humans versus bots react to deceptive and trusted news sources: A case study of active users. Retrieved from: http://arxiv.org/abs/1807.05327.
10.1109/asonam.2018.8508700
[13]
Benjamin (2017)
[14]
Lazer David M. J. (2018)
[15]
Aja Romano. 2018. Racist trolls are saying Black Panther fans attacked them. They're lying. Vox. Retrieved from: https://www.vox.com/culture/2018/2/16/17020230/black-panther-movie-theater-attacks-fake-trolls. Aja Romano. 2018. Racist trolls are saying Black Panther fans attacked them. They're lying. Vox. Retrieved from: https://www.vox.com/culture/2018/2/16/17020230/black-panther-movie-theater-attacks-fake-trolls.
[19]
Shao Chengcheng (2017)
[20]
Craig Silverman. 2018. Trolls are posting fake claims of being assaulted at showings of “Black Panther”. BuzzFeed. Retrieved from: https://www.buzzfeed.com/craigsilverman/trolls-are-posting-fake-claims-of-being-assaulted-at. Craig Silverman. 2018. Trolls are posting fake claims of being assaulted at showings of “Black Panther”. BuzzFeed. Retrieved from: https://www.buzzfeed.com/craigsilverman/trolls-are-posting-fake-claims-of-being-assaulted-at.
[21]
Tambini Damian
[24]
Onur Varol Emilio Ferrara Clayton A. Davis Filippo Menczer and Alessandro Flammini. 2017. Online human-bot interactions: detection estimation and characterization. Retrieved from: http://arxiv.org/abs/1703.03107. Onur Varol Emilio Ferrara Clayton A. Davis Filippo Menczer and Alessandro Flammini. 2017. Online human-bot interactions: detection estimation and characterization. Retrieved from: http://arxiv.org/abs/1703.03107.
[25]
[26]
Vosoughi Soroush (2018)
[28]
Wojcik Stefan (2018)
[29]
(2018)
Metrics
13
Citations
29
References
Details
- Published
- Aug 21, 2019
- Vol/Issue
- 11(4)
- Pages
- 1-15
- License
- View
Authors
Funding
Office of Naval Research
Award: N000141712605/25323818CMU
Cite This Article
Matthew Babcock, David M. Beskow, Kathleen M. Carley (2019). Different Faces of False. Journal of Data and Information Quality, 11(4), 1-15. https://doi.org/10.1145/3339468