假新闻
大流行
礼貌
构造(python库)
报纸
社会化媒体
社会语言学
诬告
透视图(图形)
面子(社会学概念)
社会学
心理学
政治学
2019年冠状病毒病(COVID-19)
媒体研究
语言学
社会心理学
社会科学
计算机科学
医学
哲学
疾病
病理
传染病(医学专业)
法学
程序设计语言
人工智能
出处
期刊:International Review of Pragmatics
[Brill]
日期:2023-07-11
卷期号:15 (2): 189-220
标识
DOI:10.1163/18773109-01502003
摘要
Abstract The COVID -19 pandemic has not only brought considerable challenges to public health, but also diffusions of fake news on social media platforms, taking on the moniker of “infodemic”. To have a better understanding of the infodemic, this research takes 580 pandemic-related fake news stories from two Taiwanese fact-checking platforms and 180,000 real news articles from four major newspapers in Taiwan spanning from January 2020 to August 2021. The paper presents lexical usages and discourses of fake news from the perspective of corpus-assisted discourse study. Keyword comparison and collocational network analysis are adopted as the major analytic framework to identify keyness keywords and to uncover the discourses embedded in COVID -19 fake news. Results suggest that pandemic-related fake news tend to emphasize the themes of virus, vaccine, and immunity regarding the content keywords. Personal pronouns that differentiate us and them, conjunctions used to construct causal explanations, time-frames that denote a confirmed social fact in false stories are also prominent lexical usages in COVID -19 fake news. Notably, verbs related to promoting action and expressions of polite requests are often fabricated in fake news messages. Collocational network reveals five main themes in pandemic-related fake news: virus, vaccine and vaccination, symptom, food and drink, caution and warning and mask wearing. This paper concludes that more than simply differentiating between true and false, fake news involve miscellaneous discursive constructions of existing political, social, and cultural dimensions within alternative and unverified reality.
科研通智能强力驱动
Strongly Powered by AbleSci AI