The diffusion of misinformation on social media: Temporal pattern, message, and source. (June 2018)

• Record Type: Journal Article
• Authors: Shin, Jieun; Jian, Lian; Driscoll, Kevin; Bar, François
• Is Part Of: Computers in human behavior. Volume 83(2018)
• Page Start: 278
• Page End: 287
• Publication Date: 2018-06
• Subjects: Misinformation -- Rumor -- Social media -- Diffusion -- Partisan -- Election -- Fake news; Interactive computer systems -- Periodicals; Man-machine systems -- Periodicals; 004.019
• DOI: 10.1016/j.chb.2018.02.008
• Languages: English
• ISSNs: 0747-5632

Abstract

Abstract: This study examines dynamic communication processes of political misinformation on social media focusing on three components: the temporal pattern, content mutation, and sources of misinformation. We traced the lifecycle of 17 popular political rumors that circulated on Twitter over 13 months during the 2012 U.S. presidential election. Using text analysis based on time series, we found that while false rumors (misinformation) tend to come back multiple times after the initial publication, true rumors (facts) do not. Rumor resurgence continues, often accompanying textual changes, until the tension around the target dissolves. We observed that rumors resurface by partisan news websites that repackage the old rumor into news and, gain visibility by influential Twitter users who introduce such rumor into the Twittersphere. In this paper, we argue that media scholars should consider the mutability of diffusing information, temporal recurrence of such messages, and the mechanism by which these messages evolve over time. Highlights: False political rumors tend to resurface multiple times after the initial publication. False political rumors often turn into a more intense and extreme version over time. Resurged old political rumors tend to be presented as "news". None-traditional partisan media are often behind the constant generation of false "news".