TY - GEN
T1 - How gullible are you? predicting susceptibility to fake news
AU - Shen, Tracy Jia
AU - Cowell, Robert
AU - Gupta, Aditi
AU - Le, Thai
AU - Yadav, Amulya
AU - Lee, Dongwon
PY - 2019/6/26
Y1 - 2019/6/26
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85069465485&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85069465485&partnerID=8YFLogxK
U2 - 10.1145/3292522.3326055
DO - 10.1145/3292522.3326055
M3 - Conference contribution
T3 - WebSci 2019 - Proceedings of the 11th ACM Conference on Web Science
SP - 287
EP - 288
BT - WebSci 2019 - Proceedings of the 11th ACM Conference on Web Science
PB - Association for Computing Machinery, Inc
T2 - 11th ACM Conference on Web Science, WebSci 2019
Y2 - 30 June 2019 through 3 July 2019
ER -