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

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 2024:104550 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

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