Anti-intellectualism amid the COVID-19 pandemic: The discursive elements and sources of anti-Fauci tweets

被引:6
作者
Chen, Yingying [1 ,2 ]
Long, Jacob A. [1 ]
Jun, Jungmi [1 ]
Kim, Sei-Hill [1 ]
Zain, Ali [1 ]
Piacentine, Colin [1 ]
机构
[1] Univ South Carolina, Sch Journalism & Mass Commun, Columbia, SC 29208 USA
[2] Renmin Univ China, Sch Journalism & Commun, Mingde Bldg,59 Zhongguancun St, Beijing 100872, Peoples R China
关键词
anti-intellectualism; populism; supervised machine learning; topic modeling; Twitter; POPULISM;
D O I
10.1177/09636625221146269
中图分类号
G2 [信息与知识传播];
学科分类号
05 ; 0503 ;
摘要
Anti-intellectualism (resentment, hostility, and mistrust of experts) has become a growing concern during the pandemic. Using topic modeling and supervised machine learning, this study examines the elements and sources of anti-Fauci tweets as a case of anti-intellectual discourse on social media. Based on the theoretical framework of science-related populism, we identified three anti-intellectual discursive elements in anti-Fauci tweets: people-scientist antagonism, delegitimizing the motivation of scientists, and delegitimizing the knowledge of scientists. Delegitimizing the motivation of scientists appeared the most in anti-Fauci tweets. Politicians, conservative news media, and non-institutional actors (e.g. individuals and grassroots advocacy organizations) co-constructed the production and circulation of anti-intellectual discourses on Twitter. Anti-intellectual discourses resurged even under Twitter's content moderation mechanism. We discuss theoretical and practical implications for building public trust in scientists, effective science communication, and content moderation policies on social media.
引用
收藏
页码:641 / 657
页数:17
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