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

Public Health Data Visualization and Pattern Recognition (67)

Published on in Vol 12, No 1 (2020):

Understanding Discussions of Health Issues on Twitter: A Visual Analytic Study

Understanding Discussions of Health Issues on Twitter: A Visual Analytic Study

Understanding Discussions of Health Issues on Twitter: A Visual Analytic Study

Authors of this article:

Oluwakemi Ola1 ;   Kamran Sedig2
The full text of this article is available as a PDF download by clicking here.
Article Authors Cited by (10) Tweetations (5) Metrics

Journals

  1. Ng Q, Teo Y, Kiew C, Lim B, Lim Y, Liew T. Examining the Prevailing Negative Sentiments Surrounding Measles Vaccination: Unsupervised Deep Learning of Twitter Posts from 2017 to 2022. Cyberpsychology, Behavior, and Social Networking 2023;26(8):621 View
  2. Titova J, Cottis G, Allman‐Farinelli M. Using social media analysis to study population dietary behaviours: A scoping review. Journal of Human Nutrition and Dietetics 2023;36(3):875 View
  3. Stiletto A, Cei L, Trestini S. A Little Bird Told Me… Nutri-Score Panoramas from a Flight over Europe, Connecting Science and Society. Nutrients 2023;15(15):3367 View
  4. Gim H. How do people tweet about gay and bisexual people surrounding the 2022 monkeypox outbreak? An NLP-based text analysis of tweets in the U.S.. Communication Research Reports 2023;40(5):238 View
  5. Septia Irawan A, Shahin B, Wangeshi Njuguna D, Nellamkuzhi N, Thiện B, Mahrouseh N, Varga O. Analysis of Content, Social Networks, and Sentiment of Front-of-Pack Nutrition Labeling in the European Union on Twitter. Frontiers in Nutrition 2022;9 View
  6. Noakes T, Uys C, Harpur P, van Zyl I. A role for qualitative methods in researching Twitter data on a popular science article's communication. Frontiers in Research Metrics and Analytics 2025;9 View
  7. Braga D, Silva I, Rosário R, Novais P, Peixoto H, Machado J. Exploring the potential of online social listening for noncommunicable disease monitoring. PeerJ 2025;13:e19311 View
  8. Deiner M, Deiner R, Fathy C, Deiner N, Hristidis V, McLeod S, Bukowski T, Doan T, Seitzman G, Lietman T, Porco T. Use of Large Language Models to Classify Epidemiological Characteristics in Synthetic and Real-World Social Media Posts About Conjunctivitis Outbreaks: Infodemiology Study. Journal of Medical Internet Research 2025;27:e65226 View

Books/Policy Documents

  1. Onanuga P, Babalola E. Sociocultural and Multicultural Meanings in Online Communication. View

Conference Proceedings

  1. Brahmecha A, Sagathiya M, Dalvi R, Halbe A. 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA). LifeSpire: Detection and Diagnosis of Diseases View