@inproceedings{21cf07077f614575916dbacec803a644,
title = "Online misinformation: From the deceiver to the victim",
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.",
keywords = "Deceptive content, Fake news, Misinformation",
author = "Anu Shrestha and Francesca Spezzano",
note = "Publisher Copyright: {\textcopyright} 2019 Association for Computing Machinery.; 11th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2019 ; Conference date: 27-08-2019 Through 30-08-2019",
year = "2019",
month = aug,
day = "27",
doi = "10.1145/3341161.3343536",
language = "English",
series = "Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2019",
pages = "847--850",
editor = "Francesca Spezzano and Wei Chen and Xiaokui Xiao",
booktitle = "Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2019",
}