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Grassroots to Voting Booths: A Study of the Spatiotemporal Dynamics of Traditional Media Coverage and Social Media Impact in 2016 United States Presidential Candidates

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dc.contributor.advisor Stefanidis, Anthony
dc.contributor.author Heneghan, Scott
dc.creator Heneghan, Scott
dc.date 2017-01-17
dc.date.accessioned 2017-12-07T21:27:10Z
dc.date.available 2017-12-07T21:27:10Z
dc.identifier doi:10.13021/G8SQ4H
dc.identifier.uri http://hdl.handle.net/1920/10822
dc.description.abstract The subject of social media effect on elections has been studied in multiple peer reviewed journal articles, however the effect of social media on traditional media in elections is not as well studied. This thesis reviews the space time patterns of Twitter and how tweets can potentially correlate to future news coverage from local newspapers in different parts of the United States. This study is being done in relation to the campaigns of Bernie Sanders and Donald Trump. The correlation between one week of tweets and newspaper reports was compared against the tweets from a previous week to the newspaper reports. Local trends were reviewed in order to determine if social media is in fact a driver of change using Pearson product moment correlation. Limited correlation was detected between the values as a result of sparse data from local newspapers, which do not contribute a significant number of reports regarding national elections. en_US
dc.language.iso en en_US
dc.subject 2016 election en_US
dc.subject Twitter en_US
dc.subject social media en_US
dc.subject traditional media en_US
dc.subject spatiotemporal en_US
dc.title Grassroots to Voting Booths: A Study of the Spatiotemporal Dynamics of Traditional Media Coverage and Social Media Impact in 2016 United States Presidential Candidates en_US
dc.type Thesis en_US
thesis.degree.name Master of Science in Geoinformatics and Geospatial Intelligence en_US
thesis.degree.level Master's en_US
thesis.degree.discipline Geoinformatics and Geospatial Intelligence en_US
thesis.degree.grantor George Mason University en_US


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