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False Beliefs and "Healthy" Skeptici...
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Li, Jianing,
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False Beliefs and "Healthy" Skepticism: Understanding the Multilevel and Enduring Challenges of Misinformation /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
False Beliefs and "Healthy" Skepticism: Understanding the Multilevel and Enduring Challenges of Misinformation // Jianing Li.
作者:
Li, Jianing,
面頁冊數:
1 electronic resource (163 pages)
附註:
Source: Dissertations Abstracts International, Volume: 83-11, Section: A.
Contained By:
Dissertations Abstracts International83-11A.
標題:
Communication. -
電子資源:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29209388
ISBN:
9798438757054
False Beliefs and "Healthy" Skepticism: Understanding the Multilevel and Enduring Challenges of Misinformation /
Li, Jianing,
False Beliefs and "Healthy" Skepticism: Understanding the Multilevel and Enduring Challenges of Misinformation /
Jianing Li. - 1 electronic resource (163 pages)
Source: Dissertations Abstracts International, Volume: 83-11, Section: A.
This dissertation is a study about how people make (mis)informed decisions in the contemporary media environment where there are growing concerns over misinformation, structural inequalities, and the power of platforms. This dissertation addresses two major questions. First, how do beliefs in misinformation develop as a function of multilevel mechanisms, not only as a result of individual identities, preferences, and media diets, but also as a result of mass media structures that impose contextual influences beyond individual choices? Second, how do we foster "healthy" skepticism that helps citizens detect misinformation on social media platforms, while avoiding perpetuating a contentious understanding of fake news that often leads to anti-democratic outcomes? Through four empirical studies, I use quasi-experiment, computational classification of social media and news texts, scale construction, and panel survey experiment to uncover the multilevel and enduring challenges of misinformation. In PART 1 (Chapter 1 & 2), I demonstrate that disparities in local newspaper context across communities uniquely influence people's beliefs about COVID-19 and politics. When living in a community without a local newspaper, people are less certain about and more likely to underestimate COVID-19 prevalence in their community, which in turn are associated with less social distancing. Further, lacking a local newspaper in one's community amplifies partisan selective exposure and makes it more likely for both Democrats and Republicans to believe in false claims made by national in-party elites. Turning from formation of misinformation beliefs to strategies to mitigate misinformation, In PART 2 (Chapter 3 & 4), I show that concerns over social media misinformation are frequently politicized in mainstream broadcast TV news and in Twitter and Facebook utterances. I contend that not all skepticism leads to a better-informed citizenry and theorize two types of skepticism towards social media misinformation: accuracy- vs. identity-motivated skepticism. I reveal that while accuracy-motivated skepticism decreases people's susceptibility to partisanship-congruent misinformation they later encounter, identity-motivated skepticism fuels biases in believing in congruent misinformation and makes content moderation by social media platforms less effective. Together, these findings seek to advance theory-building that deepens our understanding of how individuals, communities, and societies face the challenges brought by misinformation.
English
ISBN: 9798438757054Subjects--Topical Terms:
524709
Communication.
Subjects--Index Terms:
American politics
False Beliefs and "Healthy" Skepticism: Understanding the Multilevel and Enduring Challenges of Misinformation /
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This dissertation is a study about how people make (mis)informed decisions in the contemporary media environment where there are growing concerns over misinformation, structural inequalities, and the power of platforms. This dissertation addresses two major questions. First, how do beliefs in misinformation develop as a function of multilevel mechanisms, not only as a result of individual identities, preferences, and media diets, but also as a result of mass media structures that impose contextual influences beyond individual choices? Second, how do we foster "healthy" skepticism that helps citizens detect misinformation on social media platforms, while avoiding perpetuating a contentious understanding of fake news that often leads to anti-democratic outcomes? Through four empirical studies, I use quasi-experiment, computational classification of social media and news texts, scale construction, and panel survey experiment to uncover the multilevel and enduring challenges of misinformation. In PART 1 (Chapter 1 & 2), I demonstrate that disparities in local newspaper context across communities uniquely influence people's beliefs about COVID-19 and politics. When living in a community without a local newspaper, people are less certain about and more likely to underestimate COVID-19 prevalence in their community, which in turn are associated with less social distancing. Further, lacking a local newspaper in one's community amplifies partisan selective exposure and makes it more likely for both Democrats and Republicans to believe in false claims made by national in-party elites. Turning from formation of misinformation beliefs to strategies to mitigate misinformation, In PART 2 (Chapter 3 & 4), I show that concerns over social media misinformation are frequently politicized in mainstream broadcast TV news and in Twitter and Facebook utterances. I contend that not all skepticism leads to a better-informed citizenry and theorize two types of skepticism towards social media misinformation: accuracy- vs. identity-motivated skepticism. I reveal that while accuracy-motivated skepticism decreases people's susceptibility to partisanship-congruent misinformation they later encounter, identity-motivated skepticism fuels biases in believing in congruent misinformation and makes content moderation by social media platforms less effective. Together, these findings seek to advance theory-building that deepens our understanding of how individuals, communities, and societies face the challenges brought by misinformation.
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