Published on in Vol 1 , No 1 (2021) :Jan-Dec
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/28800, first published
.

Journals
- Tsai R, Hervey J, Hoffman K, Wood J, Johnson J, Deighton D, Clermont D, Loew B, Goldberg S. COVID-19 Vaccine Hesitancy and Acceptance Among Individuals With Cancer, Autoimmune Diseases, or Other Serious Comorbid Conditions: Cross-sectional, Internet-Based Survey. JMIR Public Health and Surveillance 2022;8(1):e29872 View
- Yin J. Media Data and Vaccine Hesitancy: Scoping Review. JMIR Infodemiology 2022;2(2):e37300 View
- Bari A, Heymann M, Cohen R, Zhao R, Szabo L, Apas Vasandani S, Khubchandani A, DiLorenzo M, Coffee M. Exploring Coronavirus Disease 2019 Vaccine Hesitancy on Twitter Using Sentiment Analysis and Natural Language Processing Algorithms. Clinical Infectious Diseases 2022;74(Supplement_3):e4 View
- Hagen L, Fox A, O'Leary H, Dyson D, Walker K, Lengacher C, Hernandez R. The Role of Influential Actors in Fostering the Polarized COVID-19 Vaccine Discourse on Twitter: Mixed Methods of Machine Learning and Inductive Coding. JMIR Infodemiology 2022;2(1):e34231 View
- Park S, Suh Y. A Comprehensive Analysis of COVID-19 Vaccine Discourse by Vaccine Brand on Twitter in Korea: Topic and Sentiment Analysis. Journal of Medical Internet Research 2023;25:e42623 View
- Gélinas-Gascon F, Khoury R. Modeling and Moderation of COVID-19 Social Network Chat. Information 2023;14(2):124 View
- Marcec R, Stjepanovic J, Likic R. Seasonality of Hashimoto Thyroiditis: Infodemiology Study of Google Trends Data. JMIR Bioinformatics and Biotechnology 2022;3(1):e38976 View
- Baird A, Xia Y, Cheng Y. Consumer perceptions of telehealth for mental health or substance abuse: a Twitter-based topic modeling analysis. JAMIA Open 2022;5(2) View
- Blane J, Bellutta D, Carley K. Social-Cyber Maneuvers During the COVID-19 Vaccine Initial Rollout: Content Analysis of Tweets. Journal of Medical Internet Research 2022;24(3):e34040 View
- Gao H, Zhao Q, Ning C, Guo D, Wu J, Li L. Does the COVID-19 Vaccine Still Work That “Most of the Confirmed Cases Had Been Vaccinated”? A Content Analysis of Vaccine Effectiveness Discussion on Sina Weibo during the Outbreak of COVID-19 in Nanjing. International Journal of Environmental Research and Public Health 2021;19(1):241 View
- Matenga T, Zulu J, Moonzwe Davis L, Chavula M. Motivating factors for and barriers to the COVID-19 vaccine uptake: A review of social media data in Zambia. Cogent Public Health 2022;9(1) View
- Cascini F, Pantovic A, Al-Ajlouni Y, Failla G, Puleo V, Melnyk A, Lontano A, Ricciardi W. Social media and attitudes towards a COVID-19 vaccination: A systematic review of the literature. eClinicalMedicine 2022;48:101454 View
- Arrieta A, García-Prado A, Sarmiento J, Paz Castro C. Identifying early adopters of COVID-19 vaccines in Latin America. Vaccine 2022;40(49):7158 View
- Zang S, Zhang X, Xing Y, Chen J, Lin L, Hou Z. Applications of Social Media and Digital Technologies in COVID-19 Vaccination: Scoping Review. Journal of Medical Internet Research 2023;25:e40057 View
- Parsons Leigh J, Halperin D, Mizen S, FitzGerald E, Moss S, Fiest K, Di Castri A, Stelfox H, Halperin S. Exploring the impact of media and information on self-reported intentions to vaccinate against COVID-19: A qualitative interview-based study. Human Vaccines & Immunotherapeutics 2022;18(5) View
- Skafle I, Nordahl-Hansen A, Quintana D, Wynn R, Gabarron E. Misinformation About COVID-19 Vaccines on Social Media: Rapid Review. Journal of Medical Internet Research 2022;24(8):e37367 View
- Boucher J, Kim S, Jessiman-Perreault G, Edwards J, Smith H, Frenette N, Badami A, Scott L. HPV vaccine narratives on Twitter during the COVID-19 pandemic: a social network, thematic, and sentiment analysis. BMC Public Health 2023;23(1) View
- Fung H, Sgaier S, Huang V. Discovery of interconnected causal drivers of COVID-19 vaccination intentions in the US using a causal Bayesian network. Scientific Reports 2023;13(1) View
Books/Policy Documents
- Küçük D, Arıcı N. Handbook of Research on Opinion Mining and Text Analytics on Literary Works and Social Media. View