Department of Chinese and Bilingual Studies, Hong Kong Polytechnic University, Kowloon, Hong Kong.
Language Centre, Hong Kong Baptist University, Kowloon, Hong Kong.
J Med Internet Res. 2022 Jul 6;24(7):e37806. doi: 10.2196/37806.
Vaccines serve an integral role in containing pandemics, yet vaccine hesitancy is prevalent globally. One key reason for this hesitancy is the pervasiveness of misinformation on social media. Although considerable research attention has been drawn to how exposure to misinformation is closely associated with vaccine hesitancy, little scholarly attention has been given to the investigation or robust theorizing of the various content themes pertaining to antivaccine misinformation about COVID-19 and the writing strategies in which these content themes are manifested. Virality of such content on social media exhibited in the form of comments, shares, and reactions has practical implications for COVID-19 vaccine hesitancy.
We investigated whether there were differences in the content themes and writing strategies used to disseminate antivaccine misinformation about COVID-19 and their impact on virality on social media.
We constructed an antivaccine misinformation database from major social media platforms during September 2019-August 2021 to examine how misinformation exhibited in the form of content themes and how these themes manifested in writing were associated with virality in terms of likes, comments, and shares. Antivaccine misinformation was retrieved from two globally leading and widely cited fake news databases, COVID Global Misinformation Dashboard and International Fact-Checking Network Corona Virus Facts Alliance Database, which aim to track and debunk COVID-19 misinformation. We primarily focused on 140 Facebook posts, since most antivaccine misinformation posts on COVID-19 were found on Facebook. We then employed quantitative content analysis to examine the content themes (ie, safety concerns, conspiracy theories, efficacy concerns) and manifestation strategies of misinformation (ie, mimicking of news and scientific reports in terms of the format and language features, use of a conversational style, use of amplification) in these posts and their association with virality of misinformation in the form of likes, comments, and shares.
Our study revealed that safety concern was the most prominent content theme and a negative predictor of likes and shares. Regarding the writing strategies manifested in content themes, a conversational style and mimicking of news and scientific reports via the format and language features were frequently employed in COVID-19 antivaccine misinformation, with the latter being a positive predictor of likes.
This study contributes to a richer research-informed understanding of which concerns about content theme and manifestation strategy need to be countered on antivaccine misinformation circulating on social media so that accurate information on COVID-19 vaccines can be disseminated to the public, ultimately reducing vaccine hesitancy. The liking of COVID-19 antivaccine posts that employ language features to mimic news or scientific reports is perturbing since a large audience can be reached on social media, potentially exacerbating the spread of misinformation and hampering global efforts to combat the virus.
疫苗在控制大流行病方面发挥着重要作用,但疫苗犹豫在全球范围内普遍存在。这种犹豫的一个关键原因是社交媒体上存在大量错误信息。尽管人们已经相当关注接触错误信息与疫苗犹豫之间的密切关系,但对于与 COVID-19 相关的反疫苗错误信息的各种内容主题的调查或有力理论化,以及这些内容主题表现出的写作策略,几乎没有学术关注。社交媒体上此类内容的病毒式传播以评论、分享和反应的形式表现出来,对 COVID-19 疫苗犹豫具有实际影响。
我们调查了传播 COVID-19 反疫苗错误信息时所使用的内容主题和写作策略是否存在差异,以及这些主题在社交媒体上的病毒式传播对其影响。
我们从 2019 年 9 月至 2021 年 8 月从主要社交媒体平台上构建了一个反疫苗错误信息数据库,以研究错误信息以内容主题的形式表现出来的方式,以及这些主题在写作中的表现方式如何与点赞、评论和分享等方面的病毒式传播相关联。反疫苗错误信息是从两个全球领先且广泛引用的假新闻数据库 COVID Global Misinformation Dashboard 和 International Fact-Checking Network Corona Virus Facts Alliance Database 中检索到的,这两个数据库旨在跟踪和揭穿 COVID-19 错误信息。我们主要关注了 140 个 Facebook 帖子,因为在 Facebook 上发现了大多数关于 COVID-19 的反疫苗错误信息帖子。然后,我们采用定量内容分析方法,研究了这些帖子中的内容主题(即安全问题、阴谋论、疗效问题)和错误信息表现策略(即模仿新闻和科学报告的格式和语言特征、使用会话风格、使用放大),以及它们与点赞、评论和分享等形式的错误信息病毒式传播之间的关联。
我们的研究表明,安全问题是最突出的内容主题,也是点赞和分享的负面预测因素。关于内容主题中表现出来的写作策略,在 COVID-19 反疫苗错误信息中经常使用会话风格和通过格式和语言特征模仿新闻和科学报告,后者是点赞的正预测因素。
这项研究有助于更深入地了解在社交媒体上传播的反疫苗错误信息中需要针对哪些内容主题和表现策略进行对抗,以便向公众传播有关 COVID-19 疫苗的准确信息,从而最终减少疫苗犹豫。点赞 COVID-19 反疫苗帖子的行为令人不安,因为这些帖子使用语言特征模仿新闻或科学报告,在社交媒体上可以接触到大量受众,这可能会加剧错误信息的传播,并阻碍全球抗击病毒的努力。