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

JMIR Theme Issue: COVID-19 Special Issue (2452) Outbreak and Pandemic Preparedness and Management (1727) Infectious Diseases (non-STD/STI) (1575) Vaccination and Immunization in the Digital Age (374) COVID-19 Vaccination (146) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Infodemiology and Infoveillance (1349)

Published on in Vol 23, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28118, first published .
Understanding Behavioral Intentions Toward COVID-19 Vaccines: Theory-Based Content Analysis of Tweets

Understanding Behavioral Intentions Toward COVID-19 Vaccines: Theory-Based Content Analysis of Tweets

Understanding Behavioral Intentions Toward COVID-19 Vaccines: Theory-Based Content Analysis of Tweets

Authors of this article:

Siru Liu1 Author Orcid Image ;   Jialin Liu2 Author Orcid Image
Article Authors Cited by (29) Tweetations (4) Metrics

Journals

  1. Liu S, Li J, Liu J. Leveraging Transfer Learning to Analyze Opinions, Attitudes, and Behavioral Intentions Toward COVID-19 Vaccines: Social Media Content and Temporal Analysis. Journal of Medical Internet Research 2021;23(8):e30251 View
  2. Boucher J, Cornelson K, Benham J, Fullerton M, Tang T, Constantinescu C, Mourali M, Oxoby R, Marshall D, Hemmati H, Badami A, Hu J, Lang R. Analyzing Social Media to Explore the Attitudes and Behaviors Following the Announcement of Successful COVID-19 Vaccine Trials: Infodemiology Study. JMIR Infodemiology 2021;1(1):e28800 View
  3. Bayır T, Kılıç B, Durmaz Y. The mediating role of product judgment and country of origin effect on health literacy and behavioral intention: A study on COVID-19 vaccines perception of Turkish consumers. Human Vaccines & Immunotherapeutics 2022;18(6) View
  4. Bok S, Martin D, Acosta E, Shum J, Harvie J, Lee M. Psychometric development of the COVID-19 vaccine misinformation scale and effects on vaccine hesitancy. Preventive Medicine Reports 2023;31:102087 View
  5. Eligüzel N. Analyzing society anti-vaccination attitudes towards COVID-19: combining latent dirichlet allocation and fuzzy association rule mining with a fuzzy cognitive map. Fuzzy Optimization and Decision Making 2023;22(4):669 View
  6. Chowdhry A, Kapoor P. Twitter for microblogging in oral health care, research, and academics. Journal of Oral and Maxillofacial Pathology 2021;25(3):511 View
  7. Mishra V. Analysis of systemic and behavioral barriers to COVID-19 vaccination in rollout phase. International Journal of Healthcare Management 2024;17(1):131 View
  8. Ezati Rad R, Kahnouji K, Mohseni S, Shahabi N, Noruziyan F, Farshidi H, Hosseinpoor M, Kashani S, Kamalzadeh Takhti H, Hassani Azad M, Aghamolaei T. Predicting the COVID-19 vaccine receive intention based on the theory of reasoned action in the south of Iran. BMC Public Health 2022;22(1) View
  9. Kydros D, Vrana V. Vaccination Talks on Twitter. Semantic Social Networks and Public Views From Greece. WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS 2022;19:44 View
  10. 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
  11. 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
  12. 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
  13. Karami A, Zhu M, Goldschmidt B, Boyajieff H, Najafabadi M. COVID-19 Vaccine and Social Media in the U.S.: Exploring Emotions and Discussions on Twitter. Vaccines 2021;9(10):1059 View
  14. Liew T, Lee C. Examining the Utility of Social Media in COVID-19 Vaccination: Unsupervised Learning of 672,133 Twitter Posts. JMIR Public Health and Surveillance 2021;7(11):e29789 View
  15. Abascal Miguel L, Christian C, Accurso E, Najmabadi A, Athavale P, Diala J, Sachdev D, Philip S, Reid M, Handley M. Barriers and Enablers to COVID-19 Vaccination in San Francisco's Spanish-Speaking Population. Global Implementation Research and Applications 2023;3(1):56 View
  16. Lanyi K, Green R, Craig D, Marshall C. COVID-19 Vaccine Hesitancy: Analysing Twitter to Identify Barriers to Vaccination in a Low Uptake Region of the UK. Frontiers in Digital Health 2022;3 View
  17. Baj-Rogowska A. Mapping of the Covid-19 Vaccine Uptake Determinants From Mining Twitter Data. IEEE Access 2021;9:134929 View
  18. Mir A, Rathinam S, Gul S. Public perception of COVID-19 vaccines from the digital footprints left on Twitter: analyzing positive, neutral and negative sentiments of Twitterati. Library Hi Tech 2022;40(2):340 View
  19. Su Y, Li S, Huang F, Xue J, Zhu T. Exploring the Influencing Factors of COVID-19 Vaccination Willingness among Young Adults in China. International Journal of Environmental Research and Public Health 2023;20(5):3960 View
  20. Davidson P, Muniandy T, Karmegam D. Perception of COVID-19 vaccination among Indian Twitter users: computational approach. Journal of Computational Social Science 2023;6(2):541 View
  21. Chong Y, Chien W, Cheng H, Lamnisos D, Ļubenko J, Presti G, Squatrito V, Constantinou M, Nicolaou C, Papacostas S, Aydin G, Ruiz F, Garcia-Martin M, Obando-Posada D, Segura-Vargas M, Vasiliou V, McHugh L, Höfer S, Baban A, Neto D, da Silva A, Monestès J, Alvarez-Galvez J, Blarrina M, Montesinos F, Salas S, Őri D, Kleszcz B, Lappalainen R, Ivanović I, Gosar D, Dionne F, Merwin R, Gloster A, Kassianos A, Karekla M. Predictors of changing patterns of adherence to containment measures during the early stage of COVID-19 pandemic: an international longitudinal study. Globalization and Health 2023;19(1) View
  22. Samaria D, Desmawati D, Florensia L. Effects of Direct and Indirect Factors on Attitude toward the COVID-19 Vaccine in Pregnant Women. Nurse Media Journal of Nursing 2023;13(2):226 View
  23. Khan S, Biswas M, Shah Z. Longitudinal analysis of behavioral factors and techniques used to identify vaccine hesitancy among Twitter users: Scoping review. Human Vaccines & Immunotherapeutics 2023;19(3) View
  24. Biswas M, Shah Z. Extracting factors associated with vaccination from Twitter data and mapping to behavioral models. Human Vaccines & Immunotherapeutics 2023;19(3) View
  25. Khazir Z, Kouhpeikar H, Rahaei Z, Zareipour M, Dashti S, Gholamian M. The predictors of the intention to receive Covid-19 vaccine using the health belief model and theory of planned behavior in South Khorasan province. Journal of Education and Health Promotion 2023;12(1) View
  26. Zhang J, Yang C, Liu Y, Wu D, Liu L, Zheng H, Xu D, Liao J. Conditions for successful implementation of couple-based collaborative management model of diabetes among community-dwelling older Chinese: a qualitative comparative analysis. BMC Geriatrics 2023;23(1) View
  27. Suwanbamrung C, Srinam B, Promkool P, Suwannakarn W, Siripanich S, Rahman M, Stanikzai M, Ooi P. Uptake of COVID-19 vaccine among high-risk urban populations in Southern Thailand using the COM-B model. PLOS ONE 2024;19(3):e0300509 View
  28. Nguyen Xuan T, Bui Hoang N, Pham Thi Lan P. Factors affecting COVID-19 vaccine uptake in Vietnam: an extended COM-B model. International Journal of Pharmaceutical and Healthcare Marketing 2024;18(3):521 View