Literature DB >> 33470931

Prevalence of Health Misinformation on Social Media: Systematic Review.

Victor Suarez-Lledo1,2, Javier Alvarez-Galvez1,2.   

Abstract

BACKGROUND: Although at present there is broad agreement among researchers, health professionals, and policy makers on the need to control and combat health misinformation, the magnitude of this problem is still unknown. Consequently, it is fundamental to discover both the most prevalent health topics and the social media platforms from which these topics are initially framed and subsequently disseminated.
OBJECTIVE: This systematic review aimed to identify the main health misinformation topics and their prevalence on different social media platforms, focusing on methodological quality and the diverse solutions that are being implemented to address this public health concern.
METHODS: We searched PubMed, MEDLINE, Scopus, and Web of Science for articles published in English before March 2019, with a focus on the study of health misinformation in social media. We defined health misinformation as a health-related claim that is based on anecdotal evidence, false, or misleading owing to the lack of existing scientific knowledge. We included (1) articles that focused on health misinformation in social media, including those in which the authors discussed the consequences or purposes of health misinformation and (2) studies that described empirical findings regarding the measurement of health misinformation on these platforms.
RESULTS: A total of 69 studies were identified as eligible, and they covered a wide range of health topics and social media platforms. The topics were articulated around the following six principal categories: vaccines (32%), drugs or smoking (22%), noncommunicable diseases (19%), pandemics (10%), eating disorders (9%), and medical treatments (7%). Studies were mainly based on the following five methodological approaches: social network analysis (28%), evaluating content (26%), evaluating quality (24%), content/text analysis (16%), and sentiment analysis (6%). Health misinformation was most prevalent in studies related to smoking products and drugs such as opioids and marijuana. Posts with misinformation reached 87% in some studies. Health misinformation about vaccines was also very common (43%), with the human papilloma virus vaccine being the most affected. Health misinformation related to diets or pro-eating disorder arguments were moderate in comparison to the aforementioned topics (36%). Studies focused on diseases (ie, noncommunicable diseases and pandemics) also reported moderate misinformation rates (40%), especially in the case of cancer. Finally, the lowest levels of health misinformation were related to medical treatments (30%).
CONCLUSIONS: The prevalence of health misinformation was the highest on Twitter and on issues related to smoking products and drugs. However, misinformation on major public health issues, such as vaccines and diseases, was also high. Our study offers a comprehensive characterization of the dominant health misinformation topics and a comprehensive description of their prevalence on different social media platforms, which can guide future studies and help in the development of evidence-based digital policy action plans. ©Victor Suarez-Lledo, Javier Alvarez-Galvez. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 20.01.2021.

Entities:  

Keywords:  health misinformation; infodemics; infodemiology; poor quality information; social contagion; social media; social networks

Mesh:

Year:  2021        PMID: 33470931      PMCID: PMC7857950          DOI: 10.2196/17187

Source DB:  PubMed          Journal:  J Med Internet Res        ISSN: 1438-8871            Impact factor:   5.428


  95 in total

1.  Opportunities and challenges of Web 2.0 for vaccination decisions.

Authors:  Cornelia Betsch; Noel T Brewer; Pauline Brocard; Patrick Davies; Wolfgang Gaissmaier; Niels Haase; Julie Leask; Frank Renkewitz; Britta Renner; Valerie F Reyna; Constanze Rossmann; Katharina Sachse; Alexander Schachinger; Michael Siegrist; Marybelle Stryk
Journal:  Vaccine       Date:  2012-02-22       Impact factor: 3.641

2.  Dissemination of Misinformative and Biased Information about Prostate Cancer on YouTube.

Authors:  Stacy Loeb; Shomik Sengupta; Mohit Butaney; Joseph N Macaluso; Stefan W Czarniecki; Rebecca Robbins; R Scott Braithwaite; Lingshan Gao; Nataliya Byrne; Dawn Walter; Aisha Langford
Journal:  Eur Urol       Date:  2018-11-28       Impact factor: 20.096

3.  A comparative analysis of anorexia nervosa groups on Facebook.

Authors:  Martin Teufel; Eva Hofer; Florian Junne; Helene Sauer; Stephan Zipfel; Katrin Elisabeth Giel
Journal:  Eat Weight Disord       Date:  2013-07-27       Impact factor: 4.652

4.  Depiction of Health Effects of Electronic Cigarettes on YouTube.

Authors:  Ashley L Merianos; Olivia E Gittens; E Melinda Mahabee-Gittens
Journal:  J Subst Use       Date:  2016-05-09

5.  Epidemiology from Tweets: Estimating Misuse of Prescription Opioids in the USA from Social Media.

Authors:  Michael Chary; Nicholas Genes; Christophe Giraud-Carrier; Carl Hanson; Lewis S Nelson; Alex F Manini
Journal:  J Med Toxicol       Date:  2017-08-22

6.  An analysis of the Human Papilloma Virus vaccine debate on MySpace blogs.

Authors:  Jennifer Keelan; Vera Pavri; Ravin Balakrishnan; Kumanan Wilson
Journal:  Vaccine       Date:  2009-12-08       Impact factor: 3.641

7.  Vape, quit, tweet? Electronic cigarettes and smoking cessation on Twitter.

Authors:  Jan van der Tempel; Aliya Noormohamed; Robert Schwartz; Cameron Norman; Muhannad Malas; Laurie Zawertailo
Journal:  Int J Public Health       Date:  2016-02-03       Impact factor: 3.380

8.  Misleading health-related information promoted through video-based social media: anorexia on YouTube.

Authors:  Shabbir Syed-Abdul; Luis Fernandez-Luque; Wen-Shan Jian; Yu-Chuan Li; Steven Crain; Min-Huei Hsu; Yao-Chin Wang; Dorjsuren Khandregzen; Enkhzaya Chuluunbaatar; Phung Anh Nguyen; Der-Ming Liou
Journal:  J Med Internet Res       Date:  2013-02-13       Impact factor: 5.428

9.  Hookah-Related Twitter Chatter: A Content Analysis.

Authors:  Melissa J Krauss; Shaina J Sowles; Megan Moreno; Kidist Zewdie; Richard A Grucza; Laura J Bierut; Patricia A Cavazos-Rehg
Journal:  Prev Chronic Dis       Date:  2015-07-30       Impact factor: 2.830

10.  An evaluation of mobile health application tools.

Authors:  Preethi R Sama; Zubin J Eapen; Kevin P Weinfurt; Bimal R Shah; Kevin A Schulman
Journal:  JMIR Mhealth Uhealth       Date:  2014-05-01       Impact factor: 4.773

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  55 in total

1.  The use of social media among the pediatric colorectal community.

Authors:  Marina L Reppucci; Luis De La Torre; Alberto Peña; Laura Judd-Glossy; Kaci Pickett; Jill Ketzer; Andrea Bischoff
Journal:  Pediatr Surg Int       Date:  2021-09-23       Impact factor: 1.827

2.  Tracking the COVID-19 outbreak in India through Twitter: Opportunities for social media based global pandemic surveillance.

Authors:  Sahithi Lakamana; Yuan-Chi Yang; Mohammed Ali Al-Garadi; Abeed Sarker
Journal:  AMIA Annu Symp Proc       Date:  2022-05-23

3.  Nutrition and physical activity in cancer patients: a survey on their information sources.

Authors:  Sebastian Josef Boesenecker; V Mathies; J Buentzel; J Huebner
Journal:  J Cancer Res Clin Oncol       Date:  2022-08-22       Impact factor: 4.322

4.  Opinions on Homeopathy for COVID-19 on Twitter.

Authors:  Jeevith Bopaiah; Kiran Garimella; Ramakanth Kavuluru
Journal:  Proc ACM Web Sci Conf       Date:  2022-06-26

5.  Information available on consumer-facing websites may affect adherence to important public health measures such as reducing sodium consumption.

Authors:  Antonio Barbato
Journal:  J Clin Hypertens (Greenwich)       Date:  2022-09-20       Impact factor: 2.885

6.  Missing the Bigger Picture: The Need for More Research on Visual Health Misinformation.

Authors:  Kathryn Heley; Anna Gaysynsky; Andy J King
Journal:  Sci Commun       Date:  2022-08-05

7.  Impacts of the Internet on Health Inequality and Healthcare Access: A Cross-Country Study.

Authors:  Jiajie Yu; Shuang Meng
Journal:  Front Public Health       Date:  2022-06-09

8.  Empowering Without Misinforming Adolescents and Young Adults with Cystic Fibrosis. Comment on "Perceptions of Social Media Use to Augment Health Care Among Adolescents and Young Adults With Cystic Fibrosis: Survey Study".

Authors:  Navandeep Thumber; Prerana Bhandari
Journal:  JMIR Pediatr Parent       Date:  2022-05-25

9.  Behavior Change Around an Online Health Awareness Campaign: A Causal Impact Study.

Authors:  Victor Suarez-Lledo; Yelena Mejova
Journal:  Front Public Health       Date:  2022-06-23

Review 10.  'Falsehood flies, and the truth comes limping after it': social media and public health.

Authors:  Justin B Moore; Jenine K Harris; Ellen T Hutti
Journal:  Curr Opin Psychiatry       Date:  2021-09-01       Impact factor: 4.787

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