误传
造谣
社会化媒体
通信源
互联网隐私
信息传播
健康传播
人口
信息共享
大流行
公共关系
计算机科学
心理学
万维网
社会学
2019年冠状病毒病(COVID-19)
医学
政治学
电信
计算机安全
人口学
疾病
病理
传染病(医学专业)
作者
Ammina Kothari,Kimberly Walker,Kelli S. Burns
出处
期刊:Online Information Review
[Emerald (MCB UP)]
日期:2022-02-21
卷期号:46 (7): 1293-1312
被引量:10
标识
DOI:10.1108/oir-03-2021-0143
摘要
Purpose The purpose of this study is to examine how factual information and misinformation are being shared on Twitter by identifying types of social media users who initiate the information diffusion process. Design/methodology/approach This study used a mixed methodology approach to analyze tweets with COVID-19-related hashtags. First, a social network analysis was conducted to identify social media users who initiate the information diffusion process, followed by a quantitative content analysis of tweets by users with more than 5K retweets to identify what COVID-19 claims, factual information, misinformation and disinformation was shared on Twitter. Findings Results found very little misinformation and disinformation distributed widely. While health experts and journalists shared factual COVID-19-related information, they were not receiving optimum engagement. Tweets by citizens focusing on personal experience or opinions received more retweets and likes compared to any other sender type. Similarly, celebrities received more replies than any other sender type. Practical implications This study helps medical experts and government agencies understand the type of COVID-19 content and communication being shared on social media for population health purposes. Originality/value This study offers insight into how social media users engage with COVID-19-related information on Twitter and offers a typology of categories of information shared about the pandemic. Peer review The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-03-2021-0143/ .
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