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Title:Analyzing topic and stance in fake news stories
Author(s):Auxier, Brooke Elizabeth; Golbeck, Jennifer
Subject(s):Fake news
Misinformation
Thematic analysis
Abstract:The term "fake news" gained traction during the 2016 US presidential election and campaign cycle. Previous work on this data set identified seven themes in fake news articles, including positions opposing or favoring groups or individuals, conspiracy theories and racist messaging. This work analyzed hundreds of those fake news articles (N=272) in order to better understand the topics covered and stances taken. Seven main topics were identified in the articles. The majority of articles took a stance against an individual, group or topic. Among the articles that took a stance, the majority of them were pro-Trump.
Issue Date:2019-03-15
Publisher:iSchools
Series/Report:iConference 2019 Proceedings
Genre:Conference Poster
Type:Text
Language:English
URI:http://hdl.handle.net/2142/103336
DOI:https://doi.org/10.21900/iconf.2019.103336
Rights Information:Copyright 2019 Brooke Elizabeth Auxier and Jennifer Golbeck
Date Available in IDEALS:2019-03-22


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