HPV vaccine misinformation on social media: A multi-method qualitative analysis of comments across three platforms

Dannell Boatman , Zachary Jarrett , Abby Starkey , Mary Ellen Conn , Stephenie Kennedy-Rea
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引用次数: 0

Abstract

Objective

The purpose of this study was to characterize similarities and differences in HPV vaccine misinformation narratives present in the comment sections of top-performing initial creator posts across three social media platforms.

Methods

A qualitative multi-method design was used to analyze comments collected from social media posts. A sample of 2996 comments were used for thematic analysis (identifying similar themes) and content analysis (identifying differences in comment type, opinion, and misinformation status).

Results

Misinformation was pervasive in comment sections. Cross-cutting misinformation themes included adverse reactions, unnecessary vaccine, conspiracy theories, and mistrust of authority. The proportion of comments related to these themes varied by platform. Initial creator posts crafted to be perceived as educational or with an anti-vaccine opinion had a higher proportion of misinformation in the comment sections. Facebook had the highest proportion of misinformation comments.

Conclusion

Differences in the proportion of cross-cutting themes in the comment sections across platforms suggests the need for targeted communication strategies to counter misinformation narratives and support vaccine uptake.

Innovation

This study is innovative due to its characterization of misinformation themes across three social media platforms using multiple qualitative methods to assess similarities and differences and focusing on conversations occurring within the comment sections.

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社交媒体上的 HPV 疫苗误导:采用多种方法对三个平台上的评论进行定性分析
本研究旨在分析三个社交媒体平台上表现最出色的初始创作者帖子的评论区中出现的 HPV 疫苗错误信息叙述的异同。对 2996 条评论样本进行了主题分析(确定相似主题)和内容分析(确定评论类型、观点和错误信息状态的差异)。贯穿各领域的错误信息主题包括不良反应、不必要的疫苗、阴谋论和对权威的不信任。与这些主题相关的评论比例因平台而异。最初的创建者发布的被认为具有教育意义或具有反疫苗观点的帖子在评论区的错误信息比例较高。结论不同平台评论区交叉主题比例的差异表明,有必要采取有针对性的传播策略来抵制错误信息的叙述并支持疫苗的接种。创新之处这项研究具有创新性,因为它使用多种定性方法来评估三个社交媒体平台错误信息主题的异同,并重点关注评论区中发生的对话。
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来源期刊
PEC innovation
PEC innovation Medicine and Dentistry (General)
CiteScore
0.80
自引率
0.00%
发文量
0
审稿时长
147 days
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