Health Research

A compilation of our research on the spread of health misinformation on social media

Publications

Journal Papers

  1. Gruzd, A., Abul-Fottouh, D., Song, M. Y. & Saiphoo, A. (2023). From Facebook to YouTube: The Potential Exposure to COVID-19 Anti-Vaccine Videos on Social Media. Social Media + Society, 9(1). DOI: 10.1177/20563051221150403
  2. Wilhelm, E., Ballalai, I., Belanger, M.-E., Benjamin, P., Bertrand-Ferrandis, C., Bezbaruah, S., et al. (2023). Measuring the Burden of Infodemics: Summary of the Methods and Results of the Fifth WHO Infodemic Management Conference. JMIR Infodemiology, 3. DOI: 10.2196/44207
  3. Gruzd, A., Mai, P. & Soares, F. B. (2022). How coordinated link sharing behavior and partisans’ narrative framing fan the spread of COVID-19 misinformation and conspiracy theories. Social Network Analysis and Mining, 12(1), 1-12. DOI: 10.1007/s13278-022-00948-y
  4. Calleja, N., AbdAllah, A., Abad, N., Ahmed, N., Albarracin, D., Altieri, E., et al. (2021). A public health research agenda for managing infodemics: Methods and results of the first WHO infodemiology conference. JMIR Infodemiology, 1(1). DOI: 10.2196/30979
  5. Abul-Fottouh, D., Song, Y. & Gruzd, A. (2020). Examining algorithmic biases in YouTube’s recommendations of vaccine videos. International Journal of Medical Informatics, 140. DOI: 10.1016/j.ijmedinf.2020.104175
  6. Gruzd, A. & Mai, P. (2020). Going viral: How a single tweet spawned a COVID-19 conspiracy theory on Twitter. Big Data & Society, 7(2). DOI: 10.1177/2053951720938405
  7. Tangcharoensathien, V., Calleja, N., Nguyen, T., Purnat, T., D’Agostino, M., Garcia-Saiso, S. & Briand, S. (2020). Framework for Managing the COVID-19 Infodemic: Methods and Results of an Online, Crowdsourced WHO Technical Consultation. Journal of Medical Internet Research, 22(6). DOI: 10.2196/19659
  8. Tougas, M. E., Chambers, C. T., Corkum, P., Robillard, J. M., Gruzd, A., Howard, V., Kampen, A., Boerner, K. E., & Hundert, A. S. (2018). Social Media Content About Children’s Pain and Sleep: Content and Network Analysis. JMIR Pediatrics and Parenting, 1(2). DOI: 10.2196/11193
  9. Gamble J.M., Traynor, R.L., Gruzd, A., Mai, P., Dormuth, C.R. & Sketris, I.S. (2018). Measuring the Impact of Pharmacoepidemiologic Research Using Altmetrics: A case study of a CNODES drug‐safety article. Pharmacoepidemiology and Drug Safety. DOI: 10.1002/pds.4401
  10. Gruzd, A. & Haythornthwaite, C. (2013). Enabling Community Through Social Media. Journal of Medical Internet Research, 15(10), e248. DOI: 10.2196/jmir.2796
  11. Gruzd, A., Black, F.A., Le,Y. & Amos, K. (2012). Investigating Biomedical Research Literature in the Blogosphere: A Case Study of Diabetes and HbA1c. Journal of the Medical Library Association, 100(1), 34-42. DOI: 10.3163/1536-5050.100.1.007

Conference Papers

Conference Papers in Proceedings

  1. Gruzd, A., Ghenai, A. & Mai, P. (2024, Jan. 3). How COVID-19 Conspiracy Theories Spread on Twitter. Proceedings of the 57th Hawaii International Conference on System Sciences. Honolulu, HI, USA. https://scholarspace.manoa.hawaii.edu/items/5a2fa902-6824-47e4-90ae-8bd4afca8014
  2. Song, M.Y. & Gruzd, A. (2017). Examining Sentiments and Popularity of Pro- and Anti-Vaccination Videos on YouTube. Proceedings of the 8th International Conference on Social Media & Society. New York, NY, USA. DOI:10.1145/3097286.3097303
  3. Ng, C., Gruzd, A., Cheng, C., Crocker, B., Doiron, D., and Stevens, K. (2012). From Data to
    Knowledge: Discovery of Medical Laboratory Demand Patterns Through Visualisation
    Techniques. Proceedings of the 2012 iConference. New York,
    NY, USA, 585-586. DOI:10.1145/2132176.2132298

Conference Papers

  1. Krause, N. & Gruzd, A. (2021, May 24). Archiving the Pandemic: Recording and Analyzing Two Billion Pandemic-Related Tweets. Ryerson IT Conference. (Virtual).
  2. Abul-Fottouh, D., Song, M. & Gruzd, A. (2020, July 13-17). Examining algorithmic biases in YouTube’s recommendations of vaccine videos. Sunbelt Social Networks Conference of the International Network for Social Network Analysis (INSNA). (Virtual). DOI:10.1016/j.ijmedinf.2020.104175
  3. Song, M. & Gruzd, A. (2018, Dec. 5-7) Examining the Influence of Pro-vaccine and Anti-vaccine Videos on YouTube. The 2nd European Symposium on Societal Challenges in Computational Social Science. Cologne, Germany. http://symposium.computationalsocialscience.eu/2018/

Poster Presentations

  1. Wang, H., Chu, H., & Gruzd, A. (2018). From 13 Reasons Why to Suicide Watch: Reddit
    Discussions about the Controversial Netflix Series. Poster presented at the 9th International
    Conference on Social Media & Society (#SMSociety’18), July 18 – 20, 2018. Copenhagen,
    Denmark.
  2. Sketris, I.S., Gruzd, A., Mai, P., Gamble, J.M., Dormuth, C. (2014). Analyzing the Short-
    Term Social Media Impact of a Drug Safety Publication-A Case Study Approach.
    Proceedings of the 30th International Conference on Pharmacoepidemiology & Therapeutic
    Risk Management, October 24-27, 2014, Taipei.
  3. Ng, C., Gruzd, A., Cheng, C., Crocker, B., Doiron, D., and Stevens, K. (2012). From Data to
    Knowledge: Discovery of Medical Laboratory Demand Patterns Through Visualisation
    Techniques. Poster presented at the Association for Library and Information Science
    Education (ALISE) conference, January 17-20, 2011, Dallas, TX, USA