The George Washington University School of Medicine and Health Sciences, Washington, District of Columbia, USA.
Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA.
BMJ Paediatr Open. 2024 Jan 31;8(1):e002236. doi: 10.1136/bmjpo-2023-002236.
To determine the number of tweets discussing the risk of Mpox to children and young people in school and (1) determine accuracy, (2) for inaccurate tweets, determine if risk was minimised or exaggerated and (3) describe the characteristics of the accounts and tweets which contained accurate versus inaccurate information.
Retrospective observational study.
Twitter advanced search in January 2023 of tweets spanning 18 May 2022-19 September 2022.
Accounts labelled as: MD, DO, nurse, pharmacist, physical therapist, other healthcare provider, PhD, MPH, Ed. degree, JD, health/medicine/public policy reporter (including students or candidates) who tweeted about the risk of Mpox to children and young people in school.
Tweets containing the keywords 'school' and 'mpox', 'pox', or 'monkeypox' from May to October 2022.
(1) The total and ratio of accurate versus inaccurate tweets, the latter further subdivided by exaggerating or minimising risk, and stratified by account author credential type. (2) The total likes, retweets and follower counts by accurate versus inaccurate tweets, by month and account credentials. (3) Twitter user exposure to inaccurate versus accurate tweets was estimated.
262 tweets were identified. 215/262 (82%) were inaccurate and 215/215 (100%) of these exaggerated risks. 47/262 (18%) tweets were accurate. There were 163 (87%) unique authors of inaccurate tweets and 25 (13%) of accurate tweets. Among healthcare professionals, 86% (95/111) of tweets were inaccurate. Multiplying accuracy by followers and retweets, Twitter users were approximately 974× more likely to encounter inaccurate than accurate information.
Credentialed Twitter users were 4.6 times more likely to tweet inaccurate than accurate messages. We also demonstrated how incorrect tweets can be quickly amplified by retweets and popular accounts. In the case of Mpox in children and young people, incorrect information always exaggerated risks.
确定在学校讨论猴痘对儿童和青少年风险的推文数量,(1)确定准确性,(2)对于不准确的推文,确定风险是否被最小化或夸大,以及(3)描述包含准确和不准确信息的账户和推文的特征。
回顾性观察研究。
2023 年 1 月,在 2022 年 5 月 18 日至 9 月 19 日期间,对 Twitter 高级搜索进行搜索。
标记为 MD、DO、护士、药剂师、物理治疗师、其他医疗保健提供者、博士、MPH、Ed. degree、JD、健康/医学/公共政策记者(包括学生或候选人)的账户,他们在学校发推讨论猴痘对儿童和青少年的风险。
2022 年 5 月至 10 月期间包含“学校”和“猴痘”、“痘”或“猴痘”关键词的推文。
(1)准确与不准确推文的总数和比例,后者进一步细分为夸大或最小化风险,并按账户作者资格类型分层。(2)准确与不准确推文的总点赞数、转发数和关注者数,按月和账户凭证分类。(3)估计不准确与准确推文对 Twitter 用户的曝光率。
确定了 262 条推文。215/262(82%)不准确,215/215(100%)夸大风险。262 条推文中有 47 条(18%)是准确的。不准确推文有 163 个(87%)唯一作者,准确推文有 25 个(13%)。在医疗保健专业人员中,86%(95/111)的推文不准确。将准确性乘以关注者和转发量,Twitter 用户遇到不准确信息的可能性大约是准确信息的 974 倍。
有凭证的 Twitter 用户发不准确推文的可能性是准确推文的 4.6 倍。我们还展示了错误推文如何通过转发和热门账户被迅速放大。在儿童和青少年猴痘的情况下,错误信息总是夸大了风险。