This paper is in the following e-collection/theme issue:

Infodemiology and Infoveillance (1269) Public Health Informatics (78) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1552) Peer-to-Peer Support and Online Communities (592) Obstetrics, Gynecology, and Reproductive Medicine (194) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1010) Data Sources and Open Data for Infodemiology (15) Infodemiology in Public Health Informatics (12)

Published on in Vol 25 (2023)

This is a member publication of University of Birmingham (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49220, first published .
Appraising Unmet Needs and Misinformation Spread About Polycystic Ovary Syndrome in 85,872 YouTube Comments Over 12 Years: Big Data Infodemiology Study

Appraising Unmet Needs and Misinformation Spread About Polycystic Ovary Syndrome in 85,872 YouTube Comments Over 12 Years: Big Data Infodemiology Study

Appraising Unmet Needs and Misinformation Spread About Polycystic Ovary Syndrome in 85,872 YouTube Comments Over 12 Years: Big Data Infodemiology Study

Authors of this article:

Kashish Malhotra1, 2 Author Orcid Image ;   Punith Kempegowda2, 3 Author Orcid Image
Article Authors Cited by (4) Tweetations (18) Metrics

Journals

  1. Malhotra K, Kempegowda P. Increasing trends in online information-seeking and decreasing trends of funded research for polycystic ovary syndrome: An 18-year joinpoint analysis of Google Trends data from 2004 to 2022. DIGITAL HEALTH 2023;9 View
  2. Dewani D, Karwade P, Mahajan K. The Invisible Struggle: The Psychosocial Aspects of Polycystic Ovary Syndrome. Cureus 2023 View
  3. Thakur N, Cui S, Knieling V, Khanna K, Shao M. Investigation of the Misinformation about COVID-19 on YouTube Using Topic Modeling, Sentiment Analysis, and Language Analysis. Computation 2024;12(2):28 View
  4. Stimpson J, Park S, Wilson F, Ortega A. Variation in Unmet Need for Healthcare by Perception of Social Media Health Mis- and Disinformation, Frequency of Social Media Use, Medical Trust, and Medical Care Discrimination: Cross-Sectional Study (Preprint). JMIR Public Health and Surveillance 2024 View