The Social Media Misinformation Loop: An Analysis of Consumption and Sharing Behaviours among Medical Students

Notice

This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2026 | Volume : 16 | Issue : 01 | Page :
    By

    Misbah Ul Huda,

  • Ishfaq Hussain Wani,

  • Khusbu Thakur,

  1. Student, Department of Library and Information Science, Lovely Professional University, Phagwara, Punjab, India
  2. Student, Department of Library and Information Science, University of Kashmir, Jammu and Kashmir, India
  3. Assistant Professor, Department of Library and Information Science, Lovely Professional University, Phagwara, Punjab, India

Abstract

Background: The contemporary information landscape is largely dominated by social media, which has emerged as a major source of information for medical students. This study aims to investigate the information consumption and sharing behaviours of medical students in Jammu and Kashmir, India, in the context of misinformation and its growing influence. Methods: A cross-sectional survey using a structured questionnaire was administered to 668 students from 13 medical colleges. The data analysis was done using descriptive statistics and non-parametric tests like the Kruskal-Wallis and Mann-Whitney U tests. Results: The results show that while 20.35% students consume entertainment and 16.33% news and current events, 15.63% consume educational resources. In contrast, when it comes to information sharing, 20.06% students share medical news and trends, while 22.71% students share educational content. Gender and age did not emerge as significant in misinformation consumption, but there was a marked difference between the misinformation-sharing behaviour of students in the age groups 17–20 and 20–23 years. Conclusion: The findings highlight the imperative of digital literacy within medical education. A training that would enable students to evaluate the source of information properly will reduce misinformation and enhance their academic and professional development. It is also necessary to include such skills in the curriculum to make students responsible in the digital era of healthcare professionals.

Keywords: Misinformation, Social Media, Information Consumption, Information Sharing, healthcare

[This article belongs to Research and Reviews: A Journal of Health Professions ]

How to cite this article:
Misbah Ul Huda, Ishfaq Hussain Wani, Khusbu Thakur. The Social Media Misinformation Loop: An Analysis of Consumption and Sharing Behaviours among Medical Students. Research and Reviews: A Journal of Health Professions. 2026; 16(01):-.
How to cite this URL:
Misbah Ul Huda, Ishfaq Hussain Wani, Khusbu Thakur. The Social Media Misinformation Loop: An Analysis of Consumption and Sharing Behaviours among Medical Students. Research and Reviews: A Journal of Health Professions. 2026; 16(01):-. Available from: https://journals.stmjournals.com/rrjohp/article=2026/view=242020


References

  1. Balakrishnan V, Ng WZ, Soo MC, Han GJ, Lee CJ. Infodemic and fake news–a comprehensive overview of its global magnitude during the COVID-19 pandemic in 2021: a scoping review. Int J Disaster Risk Reduct. 2022;78:103144. doi:10.1016/j.ijdrr.2022.103144
  2. Bashir I, Malik A, Mahmood K. Social media use and information-sharing behaviour of university students. IFLA J. 2021;47(4):418–430. doi:10.1177/0340035221991564
  3. Brennen JS, Simon FM, Howard PN, Nielsen RK. Types, sources, and claims of COVID-19 misinformation. Oxford: Reuters Institute for the Study of Journalism; 2020. Available from: https://ora.ox.ac.uk/objects/uuid:178db677-fa8b-491d-beda-4bacdc9d7069
  4. Kim K, Lee C, Ihm J, Kim Y. A comprehensive examination of association between belief in vaccine misinformation and vaccination intention in the COVID-19 context. J Health Commun. 2022;27(7):495–509. doi:10.1080/10810730.2022.2130479
  5. Liu H, Zhou Z, Huang L, Zhu E, Yu L, Zhang M. Prevalence of smartphone addiction and its effects on subhealth and insomnia: a cross-sectional study among medical students. BMC Psychiatry. 2022;22:305. doi:10.1186/s12888-022-03956-6
  6. Rocha YM, Moura GA, Desiderio GA, Oliveira CH, Lourenco FD, Nicolete LDF. The impact of fake news on social media and its influence on health during the COVID-19 pandemic: a systematic review. J Public Health (Berl). 2021;29(5):1007–1016. doi:10.1007/s10389-021-01658-z
  7. Venkatraman A, Mukhija D, Kumar N, Nagpal SJS. Zika virus misinformation on the internet. Travel Med Infect Dis. 2016;14(4):421–422. doi:10.1016/j.tmaid.2016.05.018
  8. Yap CS, Keling W, Abdullah SK. Use of social media for information seeking and sharing during floods in rural Sarawak. Int J Emerg Serv. 2023;12(1):110–125. doi:10.1108/IJES-07-2020-0042
  9. Zarocostas J. How to fight an infodemic. 2020;395(10225):676. doi:10.1016/S0140-6736(20)30461-X
  10. Cinelli M, Quattrociocchi W, Galeazzi A, Valensise CM, Brugnoli E, Schmidt AL, et al. The COVID-19 social media infodemic. Sci Rep. 2020;10:16598. doi:10.1038/s41598-020-73510-5

Regular Issue Subscription Original Research
Volume 16
Issue 01
Received 04/02/2026
Accepted 25/04/2026
Published 30/04/2026
Publication Time 85 Days


Login


My IP

PlumX Metrics