Birthers, Hand Signals, and Spirit Cooking: The Impact of Political Fake News Content on Facebook Engagement during the 2016 Presidential Election

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dc.contributor.authorWheaton, Grace Claireen
dc.contributor.committeechairJewitt, Caitlin E.en
dc.contributor.committeememberHult, Karen M.en
dc.contributor.committeememberJardine, Ericen
dc.contributor.departmentPolitical Scienceen
dc.date.accessioned2019-04-19T08:00:19Zen
dc.date.available2019-04-19T08:00:19Zen
dc.date.issued2019-04-18en
dc.description.abstractThroughout the 2016 U.S. presidential election, public debate and media coverage was shaped by so called "fake news" – news articles which were intentionally false, and designed to influence opinion and policy. Although fake news itself is not a new concept, the way in which it was covered, and the was it was spread on social media platforms, was. Given this, scholarly literature examining fake news, and specifically the content or stylistic characteristics of fake news, is minimal. My research seeks to address that gap through examining different content characteristics of fake news articles spread on social media in 2016, and testing the impact of those characteristics on Facebook engagement (the number of likes or shares an article received). I find political fake news circulated during the 2016 U.S. election is relatively homogeneous in content: it avoids policy discussion, is highly partisan, and negative in tone. Furthermore, personal content, policy discussion, partisan lean, and article tone have no detectable effect on the engagement received on Facebook. My research serves to provide avenues for future research, and increase our understanding of how fake news is spread. More importantly, given the negative influence fake news has on public discussion and democratic legitimacy, my research also increases our understanding of how to best combat the influence of fake news, and how to limit its spread.en
dc.description.abstractgeneralThroughout the 2016 U.S. presidential election, public debate and media coverage was shaped by so called “fake news” – news articles which were intentionally false, and designed to influence opinion and policy. Although fake news itself is not a new concept, the way in which it was covered, and the was it was spread on social media platforms, was. Given this, scholarly literature examining fake news, and specifically the content or stylistic characteristics of fake news, is minimal. My research seeks to address that gap through examining different content characteristics of fake news articles spread on social media in 2016, and testing the impact of those characteristics on Facebook engagement (the number of likes or shares an article received). I find political fake news circulated during the 2016 U.S. election is relatively homogeneous in content: it avoids policy discussion, is highly partisan, and negative in tone. Furthermore, personal content, policy discussion, partisan lean, and article tone have no detectable effect on the engagement received on Facebook. My research serves to provide avenues for future research, and increase our understanding of how fake news is spread. More importantly, given the negative influence fake news has on public discussion and democratic legitimacy, my research also increases our understanding of how to best combat the influence of fake news, and how to limit its spread.en
dc.description.degreeMaster of Artsen
dc.format.mediumETDen
dc.identifier.othervt_gsexam:18557en
dc.identifier.urihttp://hdl.handle.net/10919/89055en
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectfake newsen
dc.subjectcontent analysisen
dc.subject2016 electionen
dc.subjectFacebooken
dc.subjectsocial mediaen
dc.titleBirthers, Hand Signals, and Spirit Cooking: The Impact of Political Fake News Content on Facebook Engagement during the 2016 Presidential Electionen
dc.typeThesisen
thesis.degree.disciplinePolitical Scienceen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Artsen

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