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    Candidate Tweet Usage by Journalists in the 2016 U.S. Presidential Election

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    azu_etd_hr_2017_0210_sip1_m.pdf
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    Author
    Sylvester, Shannon Palor
    Issue Date
    2017
    Advisor
    Kenski, Kate
    
    Metadata
    Show full item record
    Publisher
    The University of Arizona.
    Rights
    Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
    Abstract
    This paper sets out to determine the impact that Twitter has in political journalistic reporting of television broadcasts. It specifically focuses on the 2016 U.S. presidential election from Labor Day (September 4, 2016) to Election Day (November 8, 2016). Transcripts from the following major news agencies were pulled to extract Twitter mentions within the story: CBS, CNN, FOX, MSNBC, and NBC. Pulling from 900 transcripts, about 40% (350 transcripts) of the transcripts used tweets from candidates Donald Trump and Hillary Clinton as evidence in their stories. Of the transcripts that referenced tweets from the candidates directly, about 24% of them centered around Trump, whereas only 5% centered around Clinton. Not only did this research show that news agencies are comfortable incorporating Twitter as evidence for stories, but also that they are presenting tweets in an unfair fashion, favoring the tweets of one candidate (Trump) over the other (Clinton). The tweets that were used in stories about Trump specifically also placed Trump in a negative light, whereas the tweets about Clinton had a more positive nature. This study ultimately showed that when implementing Twitter into news stories, it took on more of an entertainment than political value.
    Type
    text
    Electronic Thesis
    Degree Name
    B.A.
    Degree Level
    bachelors
    Degree Program
    Honors College
    Philosophy, Politics, Economics, and Law
    Degree Grantor
    University of Arizona
    Collections
    Honors Theses

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