Misinformation about spinal manipulation and boosting immunity: an analysis of Twitter activity during the COVID-19 crisis

被引:24
作者
Kawchuk, Greg [1 ]
Hartvigsen, Jan [2 ,3 ]
Harsted, Steen [2 ]
Nim, Casper Glissmann [4 ,5 ]
Nyiroe, Luana [6 ]
机构
[1] Univ Alberta, Dept Phys Therapy, Edmonton, AB, Canada
[2] Univ Southern Denmark, Dept Sports Sci & Clin Biomech, Odense, Denmark
[3] Nord Inst Chiropract & Clin Biomech, Odense, Denmark
[4] Univ Hosp Southern Denmark, Med Res Unit, Spinecentre Southern Denmark, Middelfart, Denmark
[5] Univ Southern Denmark, Dept Reg Hlth Res, Odense, Denmark
[6] Univ Zurich, Balgrist Univ Hosp, Dept Chiropract Med, Zurich, Switzerland
关键词
Social media; Twitter; Spinal manipulation; Chiropractic; Misinformation; Immunity; SOCIAL-MEDIA; HEALTH;
D O I
10.1186/s12998-020-00319-4
中图分类号
R49 [康复医学];
学科分类号
100215 ;
摘要
Background Social media has become an increasingly important tool in monitoring the onset and spread of infectious diseases globally as well monitoring the spread of information about those diseases. This includes the spread of misinformation, which has been documented within the context of the emerging COVID-19 crisis. Understanding the creation, spread and uptake of social media misinformation is of critical importance to public safety. In this descriptive study, we detail Twitter activity regarding spinal manipulative therapy (SMT) and claims it increases, or "boosts", immunity. Spinal manipulation is a common intervention used by many health professions, most commonly by chiropractors. There is no clinical evidence that SMT improves human immunity. Methods Social media searching software (Talkwalker Quick Search) was used to describe Twitter activity regarding SMT and improving or boosting immunity. Searches were performed for the 3 months and 12 months before March 31, 2020 using terms related to 1) SMT, 2) the professions that most often provide SMT and 3) immunity. From these searches, we determined the magnitude and time course of Twitter activity then coded this activity into content that promoted or refuted a SMT/immunity link. Content themes, high-influence users and user demographics were then stratified as either promoting or refuting this linkage. Results Twitter misinformation regarding a SMT/immunity link increased dramatically during the onset of the COVID crisis. Activity levels (number of tweets) and engagement scores (likes + retweets) were roughly equal between content promoting or refuting a SMT/immunity link, however, the potential reach (audience) of tweets refuting a SMT/immunity link was 3 times higher than those promoting a link. Users with the greatest influence on Twitter, as either promoters or refuters, were individuals, not institutions or organizations. The majority of tweets promoting a SMT/immunity link were generated in the USA while the majority of refuting tweets originated from Canada. Conclusion Twitter activity about SMT and immunity increased during the COVID-19 crisis. Results from this work have the potential to help policy makers and others understand the impact of SMT misinformation and devise strategies to mitigate its impact.
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页数:13
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