Published on in Vol 22, No 12 (2020): December

Preprints (earlier versions) of this paper are available at, first published .
Tweets by People With Arthritis During the COVID-19 Pandemic: Content and Sentiment Analysis

Tweets by People With Arthritis During the COVID-19 Pandemic: Content and Sentiment Analysis

Tweets by People With Arthritis During the COVID-19 Pandemic: Content and Sentiment Analysis


  1. Sansone A, Cignarelli A, Mollaioli D, Ciocca G, Limoncin E, Romanelli F, Balercia G, Jannini E. The Social Aspects of Sexual Health: A Twitter-Based Analysis of Valentine’s Day Perception. Sexes 2021;2(1):50 View
  2. Reuter K, Deodhar A, Makri S, Zimmer M, Berenbaum F, Nikiphorou E. The impact of the COVID-19 pandemic on people with rheumatic and musculoskeletal diseases: insights from patient-generated data on social media. Rheumatology 2021;60(SI):SI77 View
  3. Mermer G, Özsezer G. Discussions About COVID-19 Vaccination on Twitter in Turkey: Sentiment Analysis. Disaster Medicine and Public Health Preparedness 2023;17 View
  4. Ntompras C, Drosatos G, Kaldoudi E. A high-resolution temporal and geospatial content analysis of Twitter posts related to the COVID-19 pandemic. Journal of Computational Social Science 2022;5(1):687 View
  5. Bastani P, Hakimzadeh S, Bahrami M. Designing a conceptual framework for misinformation on social media: a qualitative study on COVID-19. BMC Research Notes 2021;14(1) View
  6. Venuturupalli S, Kumar A, Bunyan A, Davuluri N, Fortune N, Reuter K. Using Patient‐Reported Health Data From Social Media to Identify Diverse Lupus Patients and Assess Their Symptom and Medication Expressions: A Feasibility Study. Arthritis Care & Research 2023;75(2):365 View
  7. Rodríguez Sánchez-Laulhé P, Luque-Romero L, Barrero-García F, Biscarri-Carbonero Á, Blanquero J, Suero-Pineda A, Heredia-Rizo A. An Exercise and Educational and Self-management Program Delivered With a Smartphone App (CareHand) in Adults With Rheumatoid Arthritis of the Hands: Randomized Controlled Trial. JMIR mHealth and uHealth 2022;10(4):e35462 View
  8. Mathieson S, O'Keeffe M, Traeger A, Ferreira G, Abdel Shaheed C. Content and sentiment analysis of gabapentinoid‐related tweets: An infodemiology study. Drug and Alcohol Review 2024;43(1):45 View
  9. Cui J, Wang Z, Ho S, Cambria E. Survey on sentiment analysis: evolution of research methods and topics. Artificial Intelligence Review 2023;56(8):8469 View
  10. Liu J, Gao L. Research on the Characteristics and Usefulness of User Reviews of Online Mental Health Consultation Services: A Content Analysis. Healthcare 2021;9(9):1111 View
  11. Gunasekeran D, Chew A, Chandrasekar E, Rajendram P, Kandarpa V, Rajendram M, Chia A, Smith H, Leong C. The Impact and Applications of Social Media Platforms for Public Health Responses Before and During the COVID-19 Pandemic: Systematic Literature Review. Journal of Medical Internet Research 2022;24(4):e33680 View
  12. Jeong H, Bayro A, Umesh S, Mamgain K, Lee M. Social Media Users’ Perceptions of a Wearable Mixed Reality Headset During the COVID-19 Pandemic: Aspect-Based Sentiment Analysis. JMIR Serious Games 2022;10(3):e36850 View
  13. Gavin J, Rossiter L, Fenerty V, Leese J, Hammond A, Davidson E, Backman C. The role of occupational therapy for the self‐management of rheumatoid arthritis: A protocol for a mixed methods systematic review. Musculoskeletal Care 2023;21(1):56 View
  14. Corti L, Zanetti M, Tricella G, Bonati M. Social media analysis of Twitter tweets related to ASD in 2019–2020, with particular attention to COVID-19: topic modelling and sentiment analysis. Journal of Big Data 2022;9(1) View
  15. Jones R, Mougouei D, Evans S. Understanding the emotional response to COVID‐19 information in news and social media: A mental health perspective. Human Behavior and Emerging Technologies 2021;3(5):832 View
  16. Mohammed S, Menaouer B, Faten Fatima Zohra A, Nada M. Sentiment Analysis of COVID-19 Tweets Using Adaptive Neuro-Fuzzy Inference System Models. International Journal of Software Science and Computational Intelligence 2022;14(1):1 View
  17. Harris D, Krishnan A. Exploring the Association Between Suicide Prevention Public Service Announcements and User Comments on YouTube: A Computational Text Analysis Approach. Journal of Health Communication 2023;28(5):302 View
  18. Fu J, Li C, Zhou C, Li W, Lai J, Deng S, Zhang Y, Guo Z, Wu Y. Methods for Analyzing the Contents of Social Media for Health Care: Scoping Review. Journal of Medical Internet Research 2023;25:e43349 View
  19. Wilson N, Liu J, Adamjee Q, Di Giorgio S, Steer S, Hutton J, Lempp H. Exploring the emotional impact of axial Spondyloarthritis: a systematic review and thematic synthesis of qualitative studies and a review of social media. BMC Rheumatology 2023;7(1) View
  20. Peschke L, Gyftopoulos S, Kapusuzoğlu A, Folkvord F, Gümüş Ağca Y, Kaldoudi E, Drosatos G, Ceylan N, Pecchia L, Güneş Peschke S. Practices of Knowledge Exchange in the Context of the COVID-19 Pandemic. Journal of the Knowledge Economy 2023 View
  21. Gavin J, Rossiter L, Fenerty V, Leese J, Adams J, Hammond A, Davidson E, Backman C. The Impact of Occupational Therapy on the Self‐Management of Rheumatoid Arthritis: A Mixed Methods Systematic Review. ACR Open Rheumatology 2024;6(4):214 View
  22. Reis F, Bonfim I, Corrêa L, Nogueira L, Meziat-Filho N, Almeida R. Uncovering emotional and network dynamics in the speech of patients with chronic low back pain. Musculoskeletal Science and Practice 2024;70:102925 View
  23. Zhang Y, Fu J, Lai J, Deng S, Guo Z, Zhong C, Tang J, Cao W, Wu Y. Reporting of Ethical Considerations in Qualitative Research Utilizing Social Media Data on Public Health Care: Scoping Review. Journal of Medical Internet Research 2024;26:e51496 View

Books/Policy Documents

  1. Guha S, Mishra B, Mitra A. Data Science and Communication. View