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

Quality/Credibility of eHealth Information and Trust Issues (615) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1822) New Methods (1057) Information Quality in Digital Media (382) Machine Learning (1832) Vaccination and Immunization in the Digital Age (413)

Published on in Vol 21, No 11 (2019): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14007, first published .
Automatically Appraising the Credibility of Vaccine-Related Web Pages Shared on Social Media: A Twitter Surveillance Study

Automatically Appraising the Credibility of Vaccine-Related Web Pages Shared on Social Media: A Twitter Surveillance Study

Automatically Appraising the Credibility of Vaccine-Related Web Pages Shared on Social Media: A Twitter Surveillance Study

Authors of this article:

Zubair Shah1, 2 Author Orcid Image ;   Didi Surian1 Author Orcid Image ;   Amalie Dyda1 Author Orcid Image ;   Enrico Coiera1 Author Orcid Image ;   Kenneth D Mandl3, 4 Author Orcid Image ;   Adam G Dunn1, 4 Author Orcid Image
Article Authors Cited by (40) Tweetations (51) Metrics

Journals

  1. Abd-Alrazaq A, Alhuwail D, Househ M, Hamdi M, Shah Z. Top Concerns of Tweeters During the COVID-19 Pandemic: Infoveillance Study. Journal of Medical Internet Research 2020;22(4):e19016 View
  2. Ortiz-Sánchez E, Velando-Soriano A, Pradas-Hernández L, Vargas-Román K, Gómez-Urquiza J, Cañadas-De la Fuente G, Albendín-García L. Analysis of the Anti-Vaccine Movement in Social Networks: A Systematic Review. International Journal of Environmental Research and Public Health 2020;17(15):5394 View
  3. Harrison E, Martin P, Surian D, Dunn A. Recommending research articles to consumers of online vaccination information. Quantitative Science Studies 2020:1 View
  4. Guess A, Nyhan B, O’Keeffe Z, Reifler J. The sources and correlates of exposure to vaccine-related (mis)information online. Vaccine 2020;38(49):7799 View
  5. Song S, Zhang Y, Yu B. Interventions to support consumer evaluation of online health information credibility: A scoping review. International Journal of Medical Informatics 2021;145:104321 View
  6. Praveen S, Ittamalla R, Deepak G. Analyzing Indian general public’s perspective on anxiety, stress and trauma during Covid-19 - A machine learning study of 840,000 tweets. Diabetes & Metabolic Syndrome: Clinical Research & Reviews 2021;15(3):667 View
  7. S.V. P, Ittamalla R. An analysis of attitude of general public toward COVID-19 crises – sentimental analysis and a topic modeling study. Information Discovery and Delivery 2021;49(3):240 View
  8. Farsi D. Social Media and Health Care, Part I: Literature Review of Social Media Use by Health Care Providers. Journal of Medical Internet Research 2021;23(4):e23205 View
  9. Tsao S, Chen H, Tisseverasinghe T, Yang Y, Li L, Butt Z. What social media told us in the time of COVID-19: a scoping review. The Lancet Digital Health 2021;3(3):e175 View
  10. Hou Z, Tong Y, Du F, Lu L, Zhao S, Yu K, Piatek S, Larson H, Lin L. Assessing COVID-19 Vaccine Hesitancy, Confidence, and Public Engagement: A Global Social Listening Study. Journal of Medical Internet Research 2021;23(6):e27632 View
  11. Noain Sánchez A. Desinformación y Covid-19: Análisis cuantitativo a través de los bulos desmentidos en Latinoamérica y España. Estudios sobre el Mensaje Periodístico 2021;27(3):879 View
  12. Swetland S, Rothrock A, Andris H, Davis B, Nguyen L, Davis P, Rothrock S. Accuracy of health‐related information regarding COVID‐19 on Twitter during a global pandemic. World Medical & Health Policy 2021;13(3):503 View
  13. Liu X, Alsghaier H, Tong L, Ataullah A, McRoy S. Visualizing the Interpretation of a Criteria-Driven System That Automatically Evaluates the Quality of Health News: Exploratory Study of 2 Approaches. JMIR AI 2022;1(1):e37751 View
  14. Alfatease A, Alqahtani A, Orayj K, Alshahrani S. The Impact of Social Media on the Acceptance of the COVID-19 Vaccine: A Cross-Sectional Study from Saudi Arabia. Patient Preference and Adherence 2021;Volume 15:2673 View
  15. Ojea Quintana I, Reimann R, Cheong M, Alfano M, Klein C, Kermani H. Polarization and trust in the evolution of vaccine discourse on Twitter during COVID-19. PLOS ONE 2022;17(12):e0277292 View
  16. Nguyen V, Testa L, Smith A, Ellis L, Dunn A, Braithwaite J, Sarkies M. Unravelling the truth: Examining the evidence for health-related claims made by naturopathic influencers on social media – a retrospective analysis. Health Promotion Perspectives 2022;12(4):372 View
  17. Marchetti F, Verazza S, Brambilla M, Restivo V. Rotavirus and the web: analysis of online conversations in Italy during 2020. Human Vaccines & Immunotherapeutics 2022;18(1) View
  18. Lohiniva A, Nurzhynska A, Hudi A, Anim B, Aboagye D. Infodemic Management Using Digital Information and Knowledge Cocreation to Address COVID-19 Vaccine Hesitancy: Case Study From Ghana. JMIR Infodemiology 2022;2(2):e37134 View
  19. Fähnrich B, Weitkamp E, Kupper J. Exploring ‘quality’ in science communication online: Expert thoughts on how to assess and promote science communication quality in digital media contexts. Public Understanding of Science 2023;32(5):605 View
  20. Fu C, Lyu X, Mi M. Collective Value Promotes the Willingness to Share Provaccination Messages on Social Media in China: Randomized Controlled Trial. JMIR Formative Research 2022;6(10):e35744 View
  21. Wong S, Lim H, Chin A, Chang F, Yip K, Teo C, Abdullah A, Ng C. eHealth literacy of patients attending a primary care clinic in Malaysia and its associated factors: A cross-sectional study. DIGITAL HEALTH 2022;8:205520762211353 View
  22. Vikram S. Analysis of the usage of social media during the covid-19. i-manager’s Journal on Management 2023;17(3):40 View
  23. Schlicht I, Fernandez E, Chulvi B, Rosso P. Automatic detection of health misinformation: a systematic review. Journal of Ambient Intelligence and Humanized Computing 2024;15(3):2009 View
  24. Khalaf M, Shehata A. Trust in information sources as a moderator of the impact of COVID-19 anxiety and exposure to information on conspiracy thinking and misinformation beliefs: a multilevel study. BMC Psychology 2023;11(1) View
  25. Alrawashdeh G. A mixed-methods approach to exploring university students’ perspectives of emergency remote teaching in resource-challenged contexts: the case of Jordan. Technology, Pedagogy and Education 2023;32(4):503 View
  26. Lohiniva A, Pensola A, Hyökki S, Sivelä J, Härmä V, Tammi T. Identifying factors influencing COVID-19 vaccine uptake in Finland – a qualitative study using social media data. Frontiers in Public Health 2023;11 View
  27. Nan X, Thier K, Wang Y. Health misinformation: what it is, why people believe it, how to counter it. Annals of the International Communication Association 2023;47(4):381 View
  28. Dobbs P, Boykin A, Ezike N, Myers A, Colditz J, Primack B. Twitter Sentiment About the US Federal Tobacco 21 Law: Mixed Methods Analysis. JMIR Formative Research 2023;7:e50346 View
  29. C. P, P. M. D. An Efficient CSPK-FCM Explainable Artificial Intelligence Model on COVID-19 Data to Predict the Emotion Using Topic Modeling. Journal of Advances in Information Technology 2023;14(6):1390 View
  30. Omar Bali A, Ahmad A, Omer E, Lee K. Public engagement with pictures and videos about COVID-19 vaccination on social media: A cross-sectional study in a developing country. International Journal of Healthcare Management 2024:1 View
  31. Zhu B, Chen J, Luo S. The impact of citywide community quarantine policy on the urban fresh food availability: An insight from the topic clout on social media. International Journal of Disaster Risk Reduction 2024;108:104550 View
  32. Jessiman-Perreault G, Boucher J, Kim S, Frenette N, Badami A, Smith H, Allen Scott L. The Role of Scientific Research in Human Papillomavirus Vaccine Discussions on Twitter: Social Network Analysis. JMIR Infodemiology 2024;4:e50551 View
  33. Zhang Z, Hua Y, Zhou P, Lin S, Li M, Zhang Y, Zhou L, Liao Y, Yang J. Sexual and Gender-Diverse Individuals Face More Health Challenges during COVID-19: A Large-Scale Social Media Analysis with Natural Language Processing. Health Data Science 2024;4 View
  34. Liu X, He L, Alanazi E, Liu E, Goss A, Gumireddy L. Assessing the accuracy and explainability of using ChatGPT to evaluate the quality of health news. BMC Public Health 2025;25(1) View

Books/Policy Documents

  1. Kitagawa T, Ohki T, Koizumi Y, Kawabe Y, Hasegawa T, Nishigaki M. Advances in Networked-Based Information Systems. View
  2. Slavescu R, Pop F, Slavescu K. 7th International Conference on Advancements of Medicine and Health Care through Technology. View
  3. Pyae A, Nikou S. Well-Being in the Information Society: When the Mind Breaks. View
  4. Vengusamy S, Visvanathan D. The Role of AI, IoT and Blockchain in Mitigating the Impact of COVID-19. View

Conference Proceedings

  1. Malagoli L, Stancioli J, Ferreira C, Vasconcelos M, Couto da Silva A, Almeida J. 13th ACM Web Science Conference 2021. A Look into COVID-19 Vaccination Debate on Twitter View
  2. ElFadl A, Shah U, Ur Rehman S, Ali R, Shah Z. 2021 8th International Conference on Behavioral and Social Computing (BESC). News on Twitter: Engagement, Exposure and Estimating Credibility using Machine Learning View