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Social Media Use, Political Polarization and Misinformation.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Social Media Use, Political Polarization and Misinformation./
作者:	Zeng, Fanbin.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:	112 p.
附註:	Source: Masters Abstracts International, Volume: 82-12.
Contained By:	Masters Abstracts International82-12.
標題:	Communication. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28418370
ISBN:	9798738647703

Social Media Use, Political Polarization and Misinformation.
Zeng, Fanbin.

Social Media Use, Political Polarization and Misinformation. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 112 p.

Source: Masters Abstracts International, Volume: 82-12.

Thesis (M.A.)--Western Illinois University, 2021.

This item must not be sold to any third party vendors.

In the 2020 U.S. election, social media, political polarization, and misinformation aroused the interest of the publics and scholars. The current study investigates the relationships among social media use, political polarization, misinformation, and other variables. Misperceptions (being misinformed), which distorts people's opinions about some of the most consequential issues in politics, science, and medicine, is used to measure misinformation. An online survey posted was offered to students and staff by email in a Mid-Western university through requests to click on the survey link and fill out a 15-minute question from Feb 15, to Mar 3, 2021, yielding 382 respondents. The respondents' participation in this research was completely anonymous and the survey was reviewed and approved by Institutional Review Board of this university. Our finding revealed fully significant relationships suggesting that professional news media trust will reduce misperceptions (being misinformed), and selective exposure will increase affective political polarization. Three hypotheses that were partially supported, including affective political polarization will increase misperceptions (being misinformed), partisan media use will increase misperceptions (being misinformed), and partisan media use promoted misperceptions via affective political polarization. Our discoveries showed that social media use for news, rather than time for social media use, is positively associated with 2016 misperceptions. This study contributes to a better understanding of misperceptions (being misinformed) in two keyways. First, after considering most of the variables that could impact misperceptions, the present study found media trust and polarization are two major factors. Second, in 2016, social media use played an important role whereas partisan media use, polarization, political party affiliation, and political ideology contributed to 2020 misperceptions, although trust in professional news media had a similar impact on these two misperceptions. Despite this study's contributions, there are limitations that should be addressed. This study relied on self-reported. It cannot establish causality. This study is based on a volunteer and convenient sample. It just used polarized attitude toward partisanship and candidates to measure polarization. The use of single-item measures for some variables was another limitation. Finally, the 2020 misperceptions scale was all pro-Trump whereas the 2016 was balanced.

ISBN: 9798738647703Subjects--Topical Terms:

524709
Communication.
Subjects--Index Terms:

Media trust

Social Media Use, Political Polarization and Misinformation.
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500 $a Advisor: Carpenter, Chris.
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520 $a In the 2020 U.S. election, social media, political polarization, and misinformation aroused the interest of the publics and scholars. The current study investigates the relationships among social media use, political polarization, misinformation, and other variables. Misperceptions (being misinformed), which distorts people's opinions about some of the most consequential issues in politics, science, and medicine, is used to measure misinformation. An online survey posted was offered to students and staff by email in a Mid-Western university through requests to click on the survey link and fill out a 15-minute question from Feb 15, to Mar 3, 2021, yielding 382 respondents. The respondents' participation in this research was completely anonymous and the survey was reviewed and approved by Institutional Review Board of this university. Our finding revealed fully significant relationships suggesting that professional news media trust will reduce misperceptions (being misinformed), and selective exposure will increase affective political polarization. Three hypotheses that were partially supported, including affective political polarization will increase misperceptions (being misinformed), partisan media use will increase misperceptions (being misinformed), and partisan media use promoted misperceptions via affective political polarization. Our discoveries showed that social media use for news, rather than time for social media use, is positively associated with 2016 misperceptions. This study contributes to a better understanding of misperceptions (being misinformed) in two keyways. First, after considering most of the variables that could impact misperceptions, the present study found media trust and polarization are two major factors. Second, in 2016, social media use played an important role whereas partisan media use, polarization, political party affiliation, and political ideology contributed to 2020 misperceptions, although trust in professional news media had a similar impact on these two misperceptions. Despite this study's contributions, there are limitations that should be addressed. This study relied on self-reported. It cannot establish causality. This study is based on a volunteer and convenient sample. It just used polarized attitude toward partisanship and candidates to measure polarization. The use of single-item measures for some variables was another limitation. Finally, the 2020 misperceptions scale was all pro-Trump whereas the 2016 was balanced.
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