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

Letters to the Editor (4) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (2003) Infodemiology and Infoveillance (1618) Public (e)Health, Digital Epidemiology and Public Health Informatics (1160) Skin Cancer and Melanoma Prevention (130) World Wide Web and Social Media in Dermatology (59)

Published on in Vol 7 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54439, first published .
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Strengthening TikTok Content Analysis in Academia Using Follower Count and Engagement

Strengthening TikTok Content Analysis in Academia Using Follower Count and Engagement

Authors of this article:

Serena Ramjee1 Author Orcid Image ;   Zeeshaan-ul Hasan2 Author Orcid Image
Article Authors Cited by (3) Tweetations (2) Metrics

Journals

  1. Boixadós M, Casañas R, Merino L, Hernández Encuentra E. Evaluating TikTok videos on mental health co-created with adolescents. International Journal of Adolescence and Youth 2026;31(1) View

Conference Proceedings

  1. Rana A, Prajoga T, Nathani P, Qomariyah N, Bahana R. 2025 International Conference on Information and Communication Technology (ICoICT). Evaluating Mental Health Awareness on TikTok and Twitter with Sentiment Analysis and XGBoost View
  2. J M, Tanzil M, Sagala N, Wulandhari L. 2026 International Conference on Current Research in Artificial Intelligence and Data Science (ICCRAIDS). Uncovering the Drivers of TikTok Virality: Feature Importance Analysis of Hashtags Using Machine Learning View