@inproceedings{4e5df897d1244e4a9527a3cdfbcd61e4,
title = "Political Framing: US COVID19 Blame Game",
abstract = "Through the use of Twitter, framing has become a prominent presidential campaign tool for politically active users. Framing is used to influence thoughts by evoking a particular perspective on an event. In this paper, we show that the COVID19 pandemic rather than being viewed as a public health issue, political rhetoric surrounding it is mostly shaped through a blame frame (blame Trump, China, or conspiracies) and a support frame (support candidates) backing the agenda of Republican and Democratic users in the lead up to the 2020 presidential campaign. We elucidate the divergences between supporters of both parties on Twitter via the use of frames. Additionally, we show how framing is used to positively or negatively reinforce users{\textquoteright} thoughts. We look at how Twitter can efficiently be used to identify frames for topics through a reproducible pipeline.",
keywords = "COVID19, Framing theory, Social media analysis",
author = "Chereen Shurafa and Kareem Darwish and Wajdi Zaghouani",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 12th International Conference on Social Informatics, SocInfo 2020 ; Conference date: 06-10-2020 Through 09-10-2020",
year = "2020",
doi = "10.1007/978-3-030-60975-7_25",
language = "English",
isbn = "9783030609740",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "333--351",
editor = "Samin Aref and Kalina Bontcheva and Marco Braghieri and Frank Dignum and Fosca Giannotti and Francesco Grisolia and Dino Pedreschi",
booktitle = "Social Informatics - 12th International Conference, SocInfo 2020, Proceedings",
address = "Germany",
}