Abstract
This paper presents our on-going research on studying the actors responsible for misinformation spread and identifying potential victims. Preliminary results show that (i) there is a correlation between fake news publisher bias and its credibility and (ii) social network properties help in identifying active fake news spreaders. Moreover, we discuss the most vulnerable victims of fake news and report on our experience in educating seniors about online misinformation.
Original language | American English |
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State | Published - 1 Jan 2019 |
Event | ASONAM '19: Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining - Duration: 1 Jan 2019 → … |
Conference
Conference | ASONAM '19: Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining |
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Period | 1/01/19 → … |
Keywords
- deceptive content
- fake news
- misinformation
EGS Disciplines
- Computer Sciences