误传
社会化媒体
分类
公共卫生
舆论
讽刺
公共关系
情绪分析
语调(文学)
2019年冠状病毒病(COVID-19)
政治学
互联网隐私
心理学
社会学
政治
计算机科学
万维网
医学
语言学
人工智能
哲学
病理
护理部
法学
传染病(医学专业)
疾病
讽刺
作者
Jaigris Hodson,George Veletsianos,Shandell Houlden
标识
DOI:10.1080/19331681.2021.1945987
摘要
We collected tweets directed at the official Twitter account of the Canadian Public Health Office as well as comments on a Canadian Public Health Office press conference posted to YouTube. We used a mixed method corpus-assisted discourse analysis approach to categorize and analyze these data. We found key differences between comments on each platform, namely differences in tone and sarcasm in YouTube comments, and more balance in Twitter mentions. Findings suggest that studying public responses to health information on one platform in isolation does not provide an accurate picture. To generate a fuller picture of misinformation, researchers should conduct studies across digital platforms using diverse methods. This research could influence how studies of health communication and public opinion are approached in the future.
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