Types of HPV Vaccine Misinformation Circulating on Twitter (X) That Parents Find Most Concerning: Insights From a Cross-Sectional Survey and Content Analysis.

IF 5.8 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Jennifer C Morgan, Sarah Badlis, Katharine J Head, Gregory Zimet, Joseph N Cappella, Melanie L Kornides
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引用次数: 0

Abstract

Background: Parents frequently use social media as a source of information about the human papillomavirus (HPV) vaccine. Our previous work identified that, on Twitter (now X), almost 25% of tweets about the HPV vaccine contain misinformation, and these tweets receive higher audience engagement than accurate tweets. Exposure to misinformation can increase vaccine hesitancy, but the types of misinformation found on social media vary widely, and not all misinformation exposure influences vaccine attitudes and vaccine uptake. Despite the prevalence of misinformation and antivaccine information on social media, little work has assessed parents' assessments of these posts.

Objective: This study examines which types of misinformation on Twitter parents find the most concerning.

Methods: In April 2022, we surveyed 263 US parents of children ages 7-10 years using a Qualtrics survey panel. They viewed a first round of 9 randomly selected tweets from a pool of 126 tweets circulating on Twitter that contained misinformation about the HPV vaccine. Then parents selected up to 3 that they found most concerning. The process was repeated once more with 9 selected from the pool of 117 messages not shown in the first round. Using this information, a concern score for each tweet was calculated based on the number of parents who viewed the tweet and selected it as concerning. In total, 2 researchers independently coded the misinformation tweets to identify rhetorical strategies used and health concerns mentioned. Multiple linear regression tested whether tweet content significantly predicted the concern score of the tweet.

Results: Parental concern about the different misinformation tweets varied widely, with some misinformation being selected as most concerning just 2.8% of the time it was viewed and other misinformation being selected 79.5% of the time it was viewed. Multiple beta regression analyses found that misinformation tweets using negative emotional appeals (b=.79, P<.001), expressing pharmaceutical company skepticism (b=.36, P=.036), invoking governmental authority (b=.44, P=.02), and mentioning hospitalization (b=1.00, P=.003), paralysis (b=.54, P=.02), and infertility (b=.52, P=.04) significantly increased the percent of parents rating the misinformation tweets as most concerning.

Conclusions: Misinformation about HPV vaccination is ubiquitous on social media, and it would be impossible to target and correct all of it. Counter-messaging campaigns and interventions to combat misinformation need to focus on the types of misinformation that concern parents and ultimately may impact vaccine uptake. Results from this study identify the misinformation content that parents find most concerning and provide a useful list of targets for researchers developing interventions to combat misinformation with the goal of increasing HPV vaccine uptake.

父母最关心的Twitter上传播的HPV疫苗错误信息类型(X):来自横断面调查和内容分析的见解
背景:家长经常使用社交媒体作为人类乳头瘤病毒(HPV)疫苗的信息来源。我们之前的工作发现,在Twitter(现在的X)上,几乎25%关于HPV疫苗的推文包含错误信息,这些推文比准确的推文获得更高的受众参与度。接触错误信息可能会增加对疫苗的犹豫,但社交媒体上发现的错误信息类型差异很大,并非所有接触错误信息都会影响疫苗态度和疫苗摄取。尽管社交媒体上普遍存在错误信息和反疫苗信息,但很少有工作评估父母对这些帖子的评估。目的:本研究考察了Twitter上父母最关心的错误信息类型。方法:2022年4月,我们使用qualics调查面板对263名7-10岁儿童的美国父母进行了调查。他们从推特上流传的126条推文中随机选择了9条推文,其中包含有关HPV疫苗的错误信息。然后家长们选出他们最担心的三个问题。这个过程再次重复,从第一轮没有出现的117条消息中选出9条。利用这些信息,每条推文的关注分数都是基于查看推文并将其选为关注的父母的数量计算出来的。总共有两名研究人员独立编码了错误信息的推文,以识别使用的修辞策略和提到的健康问题。多元线性回归检验推文内容是否显著预测推文的关注得分。结果:父母对不同错误信息推文的关注程度差异很大,一些错误信息被选为最受关注的,只有2.8%的时间被观看,而其他错误信息被选为最受关注的,有79.5%的时间被观看。多元beta回归分析发现,使用负面情绪诉求的错误信息推文(b=。结论:关于HPV疫苗接种的错误信息在社交媒体上无处不在,不可能针对并纠正所有这些信息。打击错误信息的反信息运动和干预措施需要把重点放在与父母有关并最终可能影响疫苗吸收的错误信息类型上。本研究的结果确定了家长最关心的错误信息内容,并为研究人员提供了一份有用的目标清单,以制定干预措施,以提高HPV疫苗的吸收率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
14.40
自引率
5.40%
发文量
654
审稿时长
1 months
期刊介绍: The Journal of Medical Internet Research (JMIR) is a highly respected publication in the field of health informatics and health services. With a founding date in 1999, JMIR has been a pioneer in the field for over two decades. As a leader in the industry, the journal focuses on digital health, data science, health informatics, and emerging technologies for health, medicine, and biomedical research. It is recognized as a top publication in these disciplines, ranking in the first quartile (Q1) by Impact Factor. Notably, JMIR holds the prestigious position of being ranked #1 on Google Scholar within the "Medical Informatics" discipline.
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