ABSTRACT

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.

摘要

我们收集了针对加拿大公共卫生办公室官方 Twitter 帐户的推文，以及发布到 YouTube 上的加拿大公共卫生办公室新闻发布会上的评论。我们使用混合方法语料库辅助语篇分析方法对这些数据进行分类和分析。我们发现每个平台上的评论之间存在关键差异，即 YouTube 评论中语气和讽刺的差异，以及 Twitter 提及的更多平衡。调查结果表明，在一个平台上孤立地研究公众对健康信息的反应并不能提供准确的情况。为了更全面地了解错误信息，研究人员应使用多种方法跨数字平台进行研究。这项研究可能会影响未来如何进行健康传播和公众舆论研究。