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

Vaccination and Immunization in the Digital Age (378) Infodemiology and Infoveillance (1369) Digital Health Reviews (1326) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050) Parent and Caregiver Education and Behavior Change for Vaccination (75) Infoveillance and Social Listening (214) Vaccination Sentiment and Anti-Vaccination Infodemiology (62) Reviews in Infodemiology (5)

Published on in Vol 7, No 2 (2021): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17149, first published .
Methods for Social Media Monitoring Related to Vaccination: Systematic Scoping Review

Methods for Social Media Monitoring Related to Vaccination: Systematic Scoping Review

Methods for Social Media Monitoring Related to Vaccination: Systematic Scoping Review

Authors of this article:

Emilie Karafillakis1 Author Orcid Image ;   Sam Martin1 Author Orcid Image ;   Clarissa Simas1 Author Orcid Image ;   Kate Olsson2 Author Orcid Image ;   Judit Takacs2, 3 Author Orcid Image ;   Sara Dada1 Author Orcid Image ;   Heidi Jane Larson1, 4 Author Orcid Image
Article Authors Cited by (44) Tweetations (9) Metrics

Journals

  1. Su Z, McDonnell D, Wen J, Cheshmehzangi A, Ahmad J, Goh E, Li X, Šegalo S, Mackert M, Xiang Y, Wang P. Young adults’ preferences for influenza vaccination campaign messages: Implications for COVID-19 vaccine intervention design and development. Brain, Behavior, & Immunity - Health 2021;14:100261 View
  2. Yin J. Media Data and Vaccine Hesitancy: Scoping Review. JMIR Infodemiology 2022;2(2):e37300 View
  3. Gao H, Yin H, Peng L, Wang H. Effectiveness of Social Video Platforms in Promoting COVID-19 Vaccination Among Youth: A Content-Specific Analysis of COVID-19 Vaccination Topic Videos on Bilibili. Risk Management and Healthcare Policy 2022;Volume 15:1621 View
  4. Jarynowski A, Semenov A, Kamiński M, Belik V. Mild Adverse Events of Sputnik V Vaccine in Russia: Social Media Content Analysis of Telegram via Deep Learning. Journal of Medical Internet Research 2021;23(11):e30529 View
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  8. Beirakdar S, Klingborg L, Herzig van Wees S. Attitudes of Swedish Language Twitter Users Toward COVID-19 Vaccination: Exploratory Qualitative Study. JMIR Infodemiology 2023;3:e42357 View
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  15. Cruickshank I, Ginossar T, Sulskis J, Zheleva E, Berger-Wolf T. Content and Dynamics of Websites Shared Over Vaccine-Related Tweets in COVID-19 Conversations: Computational Analysis. Journal of Medical Internet Research 2021;23(12):e29127 View
  16. Nyawa S, Tchuente D, Fosso-Wamba S. COVID-19 vaccine hesitancy: a social media analysis using deep learning. Annals of Operations Research 2024;339(1-2):477 View
  17. Cataldi J, O’Leary S. Parental vaccine hesitancy: scope, causes, and potential responses. Current Opinion in Infectious Diseases 2021;34(5):519 View
  18. 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
  19. Liu S, Liu J. Public attitudes toward COVID-19 vaccines on English-language Twitter: A sentiment analysis. Vaccine 2021;39(39):5499 View
  20. Daradkeh M. Analyzing Sentiments and Diffusion Characteristics of COVID-19 Vaccine Misinformation Topics in Social Media. International Journal of Business Analytics 2021;9(3):1 View
  21. Chen S, Yin S, Guo Y, Ge Y, Janies D, Dulin M, Brown C, Robinson P, Zhang D. Content and sentiment surveillance (CSI): A critical component for modeling modern epidemics. Frontiers in Public Health 2023;11 View
  22. Moghaddam H, Khan F, Bazyar H, Aghamohammadi V. Reasons for not getting COVID-19 vaccine in Ardabil, a Northwestern province in Iran: Based on an ecological approach. Journal of Education and Health Promotion 2023;12(1) View
  23. Parisi L, Mulargia S, Comunello F, Bernardini V, Bussoletti A, Nisi C, Russo L, Campagna I, Lanfranchi B, Croci I, Grassucci E, Gesualdo F. Exploring the vaccine conversation on TikTok in Italy: beyond classic vaccine stances. BMC Public Health 2023;23(1) View
  24. Chaney S, Mechael P. So Many Choices, How Do I Choose? Considerations for Selecting Digital Health Interventions to Support Immunization Confidence and Demand. Journal of Medical Internet Research 2023;25:e47713 View
  25. Bianchi F, Tafuri S. Spreading of misinformation on mass media and digital platforms regarding vaccines. A systematic scoping review on stakeholders, policymakers, and sentiments/behavior of Italian consumers. Human Vaccines & Immunotherapeutics 2023;19(2) View
  26. Wamba S, Guthrie C, Queiroz M, Twinomurinzi H. Digital Technologies and COVID-19 Vaccine Acceptance. Journal of Global Information Management 2023;31(1):1 View
  27. Déom N, Vanderslott S, Kingori P, Martin S. Online on the frontline: A longitudinal social media analysis of UK healthcare workers’ attitudes to COVID-19 vaccines using the 5C framework. Social Science & Medicine 2023;339:116313 View
  28. Zhou X, Song S, Zhang Y, Hou Z. Deep Learning Analysis of COVID-19 Vaccine Hesitancy and Confidence Expressed on Twitter in 6 High-Income Countries: Longitudinal Observational Study. Journal of Medical Internet Research 2023;25:e49753 View
  29. Ullah N, Martin S, Poduval S. A Snapshot of COVID-19 Vaccine Discourse Related to Ethnic Minority Communities in the United Kingdom Between January and April 2022: Mixed Methods Analysis. JMIR Formative Research 2024;8:e51152 View
  30. Sikström S, Valavičiūtė I, Kuusela I, Evors N. Question-based computational language approach outperforms rating scales in quantifying emotional states. Communications Psychology 2024;2(1) View
  31. Rahman A, Mohammadi E, Alhoori H. Cutting through the noise to motivate people: A comprehensive analysis of COVID-19 social media posts de/motivating vaccination. Natural Language Processing Journal 2024;8:100085 View
  32. Deiner M, Honcharov V, Li J, Mackey T, Porco T, Sarkar U. Large Language Models Can Enable Inductive Thematic Analysis of a Social Media Corpus in a Single Prompt: Human Validation Study. JMIR Infodemiology 2024;4:e59641 View
  33. Kłak A, Furmańczyk K, Sobeczek K, Raciborski F, Zając J, Rakocy K, Drab A, Religioni U. Using social media monitoring tool and Google Trends to study dynamics of vaccination-related online discourse. Polish Annals of Medicine 2024:1 View
  34. Chandrasekar A, Clark S, Martin S, Vanderslott S, Flores E, Aceituno D, Barnett P, Vindrola-Padros C, Vera San Juan N. Making the most of big qualitative datasets: a living systematic review of analysis methods. Frontiers in Big Data 2024;7 View
  35. Kusuma I, Visnyovszki Á, Bahar M. Mapping the Mpox discourse: A network and sentiment analysis. Exploratory Research in Clinical and Social Pharmacy 2024;16:100521 View
  36. Timotin A, Paladi A, Mita V, Chihai V, Lozan O. Social listening applied to tailor communication on immunization in the Republic of Moldova. European Journal of Public Health 2024 View
  37. Singh R, Telukdarie A, Mongwe R. Digital Social Media Influencers’ Impact on Beauty and Personal Care Purchases in South Africa. Platforms 2024;2(4):193 View

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