How gullible are you? predicting susceptibility to fake news

Tracy Jia Shen, Robert Cowell, Aditi Gupta, Thai Le, Amulya Yadav, Dongwon Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this research, we hypothesize that some social users are more gullible to fake news than others, and accordingly investigate on the susceptibility of users to fake news-i.e., how to identify susceptible users, what are their characteristics, and if one can build a prediction model.Building on the crowdsourced annotations of 5 types of susceptible users in Twitter, we found out that: (1) susceptible users are correlated with a combination of user, network, and content features; (2) one can build a reasonably accurate prediction model with 0.82 in AUC-ROC for the multinomial classification task; and (3) there exists a correlation between the dominant susceptibility level of center nodes and that of the entire network.

Original languageEnglish (US)
Title of host publicationWebSci 2019 - Proceedings of the 11th ACM Conference on Web Science
PublisherAssociation for Computing Machinery, Inc
Pages287-288
Number of pages2
ISBN (Electronic)9781450362023
DOIs
StatePublished - Jun 26 2019
Event11th ACM Conference on Web Science, WebSci 2019 - Boston, United States
Duration: Jun 30 2019Jul 3 2019

Publication series

NameWebSci 2019 - Proceedings of the 11th ACM Conference on Web Science

Conference

Conference11th ACM Conference on Web Science, WebSci 2019
CountryUnited States
CityBoston
Period6/30/197/3/19

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

Cite this

Shen, T. J., Cowell, R., Gupta, A., Le, T., Yadav, A., & Lee, D. (2019). How gullible are you? predicting susceptibility to fake news. In WebSci 2019 - Proceedings of the 11th ACM Conference on Web Science (pp. 287-288). (WebSci 2019 - Proceedings of the 11th ACM Conference on Web Science). Association for Computing Machinery, Inc. https://doi.org/10.1145/3292522.3326055
Shen, Tracy Jia ; Cowell, Robert ; Gupta, Aditi ; Le, Thai ; Yadav, Amulya ; Lee, Dongwon. / How gullible are you? predicting susceptibility to fake news. WebSci 2019 - Proceedings of the 11th ACM Conference on Web Science. Association for Computing Machinery, Inc, 2019. pp. 287-288 (WebSci 2019 - Proceedings of the 11th ACM Conference on Web Science).
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abstract = "In this research, we hypothesize that some social users are more gullible to fake news than others, and accordingly investigate on the susceptibility of users to fake news-i.e., how to identify susceptible users, what are their characteristics, and if one can build a prediction model.Building on the crowdsourced annotations of 5 types of susceptible users in Twitter, we found out that: (1) susceptible users are correlated with a combination of user, network, and content features; (2) one can build a reasonably accurate prediction model with 0.82 in AUC-ROC for the multinomial classification task; and (3) there exists a correlation between the dominant susceptibility level of center nodes and that of the entire network.",
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Shen, TJ, Cowell, R, Gupta, A, Le, T, Yadav, A & Lee, D 2019, How gullible are you? predicting susceptibility to fake news. in WebSci 2019 - Proceedings of the 11th ACM Conference on Web Science. WebSci 2019 - Proceedings of the 11th ACM Conference on Web Science, Association for Computing Machinery, Inc, pp. 287-288, 11th ACM Conference on Web Science, WebSci 2019, Boston, United States, 6/30/19. https://doi.org/10.1145/3292522.3326055

How gullible are you? predicting susceptibility to fake news. / Shen, Tracy Jia; Cowell, Robert; Gupta, Aditi; Le, Thai; Yadav, Amulya; Lee, Dongwon.

WebSci 2019 - Proceedings of the 11th ACM Conference on Web Science. Association for Computing Machinery, Inc, 2019. p. 287-288 (WebSci 2019 - Proceedings of the 11th ACM Conference on Web Science).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Shen TJ, Cowell R, Gupta A, Le T, Yadav A, Lee D. How gullible are you? predicting susceptibility to fake news. In WebSci 2019 - Proceedings of the 11th ACM Conference on Web Science. Association for Computing Machinery, Inc. 2019. p. 287-288. (WebSci 2019 - Proceedings of the 11th ACM Conference on Web Science). https://doi.org/10.1145/3292522.3326055