Andy Wai Kan Yeung|Anela Tosevska|Elisabeth Klager|Fabian Eibensteiner|Christos Tsagkaris|Emil D. Parvanov|Faisal A. Nawaz|Sabine Völkl-Kernstock|Eva Schaden|Maria Klete?ka-Pulker|Harald Willschke|Atanas G. Atanasov
Medical and Health-Related Misinformation on Social Media: Bibliometric Study of the Scientific Literature
University of Hong Kong|Ludwig Boltzmann Institute for Health Technology Assessment|Medical University of Vienna|University of California, Los Angeles|Ludwig Boltzmann Institute for Health Technology Assessment|Medical University of Vienna|Ludwig Boltzmann Institute for Health Technology Assessment|Medical University of Vienna|Ludwig Boltzmann Institute for Health Technology Assessment|Medical University of Vienna|University of Crete|Ludwig Boltzmann Institute for Health Technology Assessment|Medical University of Vienna|Medical University of Varna|Mohammed Bin Rashid University of Medicine and Health Sciences|Ludwig Boltzmann Institute for Health Technology Assessment|Medical University of Vienna|Medical University of Vienna|Ludwig Boltzmann Institute for Health Technology Assessment|Ludwig Boltzmann Institute for Health Technology Assessment|Medical University of Vienna|Ludwig Boltzmann Institute for Health Technology Assessment|Medical University of Vienna|Medical University of Vienna|Institute of Genetics and Animal Biotechnology of the Polish Academy of Sciences|Ludwig Boltzmann Institute for Health Technology Assessment
social media extensively used communication healthrelated information consecutively potential spread medical misinformation conventional systematic reviews published topic identify original articles summarize methodological approaches themes bibliometric study could complement findings instance evaluating geographical distribution publications determining well cited disseminated highimpact journalsthe aim study perform bibliometric analysis current literature discover prevalent trends topics related medical misinformation social mediathe web science core collection electronic database accessed identify relevant papers following search string allmisinformati wrong informati disinformati misleading informati fake news allmedic illness disease health pharma drug therap allsocial media facebook twitter instagram youtube weibo whatsapp reddit tiktok wechat full records exported bibliometric software vosviewer link bibliographic information citation data term keyword maps created illustrate recurring terms keywordsbased analysis 529 papers medical healthrelated misinformation social media found popularly investigated social media platforms twitter n90 youtube n67 facebook n57 articles targeting 3 platforms higher citations per paper 137 articles covering social media platforms instagram weibo whatsapp reddit wechat citations per paper 87 moreover social media platformspecific papers accounted 441 233529 identified publications investigations platforms different foci twitterbased research explored cyberchondria hypochondriasis youtubebased research explored tobacco smoking facebookbased research studied vaccine hesitancy related autism covid19 common topic investigated across platforms overall united states contributed half identified papers 80 top 10 productive institutions based country identified papers mostly published journals categories public environmental occupational health communication health care sciences services medical informatics medicine general internal top journal journal medical internet researchthere significant platformspecific topic preference social media investigations medical misinformation large population internet users china may reasonably expected weibo wechat tiktok chinese version douyin would investigated future studies currently platforms present research gaps leave usage information dissemination warranting evaluation future studies also include social platforms targeting nonenglish users provide wider global perspective