Published on in Vol 23, No 10 (2021): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30765, first published .
Topics and Sentiments of Public Concerns Regarding COVID-19 Vaccines: Social Media Trend Analysis

Topics and Sentiments of Public Concerns Regarding COVID-19 Vaccines: Social Media Trend Analysis

Topics and Sentiments of Public Concerns Regarding COVID-19 Vaccines: Social Media Trend Analysis

Journals

  1. Ljajić A, Prodanović N, Medvecki D, Bašaragin B, Mitrović J. Uncovering the Reasons Behind COVID-19 Vaccine Hesitancy in Serbia: Sentiment-Based Topic Modeling. Journal of Medical Internet Research 2022;24(11):e42261 View
  2. Zhu J, Weng F, Zhuang M, Lu X, Tan X, Lin S, Zhang R. Revealing Public Opinion towards the COVID-19 Vaccine with Weibo Data in China: BertFDA-Based Model. International Journal of Environmental Research and Public Health 2022;19(20):13248 View
  3. Aleksandric A, Anderson H, Melcher S, Nilizadeh S, Wilson G. Spanish Facebook Posts as an Indicator of COVID-19 Vaccine Hesitancy in Texas. Vaccines 2022;10(10):1713 View
  4. Tao W, Lee Y, Li J, He M. How Dialogic Vaccine Communication in the Workplace Facilitates Employee Advocacy for COVID-19 Vaccine Uptake. Journal of Public Relations Research 2023;35(1):17 View
  5. Stracqualursi L, Agati P, Sasahara K. Covid-19 vaccines in Italian public opinion: Identifying key issues using Twitter and Natural Language Processing. PLOS ONE 2022;17(11):e0277394 View
  6. Yi K, Li Y, Chen J, Yu M, Li X. Appeal of word of mouth: Influences of public opinions and sentiment on ports in corporate choice of import and export trade in the post-COVID-19 era. Ocean & Coastal Management 2022;225:106239 View
  7. Ding J, Wang A, Zhang Q. Mining the vaccination willingness of China using social media data. International Journal of Medical Informatics 2023;170:104941 View
  8. 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
  9. Mir A, Sevukan R. Sentiment analysis of Indian Tweets about Covid-19 vaccines. Journal of Information Science 2022:016555152211180 View
  10. An R, Tong Z, Liu X, Tan B, Xiong Q, Pang H, Liu Y, Xu G. Post COVID-19 pandemic recovery of intracity human mobility in Wuhan: Spatiotemporal characteristic and driving mechanism. Travel Behaviour and Society 2023;31:37 View
  11. Niu Q, Liu J, Kato M, Nagai-Tanima M, Aoyama T. The Effect of Fear of Infection and Sufficient Vaccine Reservation Information on Rapid COVID-19 Vaccination in Japan: Evidence From a Retrospective Twitter Analysis. Journal of Medical Internet Research 2022;24(6):e37466 View
  12. Yin J. Media Data and Vaccine Hesitancy: Scoping Review. JMIR Infodemiology 2022;2(2):e37300 View
  13. Shah U, Abd-alrazaq A, Schneider J, Househ M, Shah Z. Twitters’ Concerns and Opinions About the COVID-19 Booster Shots: Infoveillance Study. Journal of Consumer Health on the Internet 2022;26(4):337 View
  14. Yee D, Khan S, Zagona-Prizio C, Maynard N, Reddy R, Khan S, Mehta M, Armstrong A. Public Perception of SARS-CoV-2 Vaccines Among Psoriasis Patients in Social Media: Content, Sentiment, and Engagement Analysis. Journal of Psoriasis and Psoriatic Arthritis 2022;7(4):164 View
  15. Kim K, Lee C, Ihm J, Kim Y. A comprehensive examination of association between belief in vaccine misinformation and vaccination intention in the COVID-19 context. Journal of Health Communication 2022;27(7):495 View
  16. Jang S, Gerend M, Youm S, Yi Y. Understanding coronavirus disease 2019 (COVID-19) vaccine hesitancy: Evidence from the community-driven knowledge site Quora. DIGITAL HEALTH 2022;8:205520762211454 View
  17. 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
  18. Gai Z, Fan C, Shen S, Ge Y, Shi Z, Li S, Zhang Y, Cao Y, Chai J. Using Social Media Data to Explore Urban Land Value and Sentiment Inequality: A Case Study of Xiamen, China. Wireless Communications and Mobile Computing 2022;2022:1 View
  19. de Carvalho V, Nepomuceno T, Poleto T, Turet J, Costa A. Mining Public Opinions on COVID-19 Vaccination: A Temporal Analysis to Support Combating Misinformation. Tropical Medicine and Infectious Disease 2022;7(10):256 View
  20. Sun S, Liu Z, Zhai Y, Wang F. COVID-19 Vaccines on TikTok: A Big-Data Analysis of Entangled Discourses. International Journal of Environmental Research and Public Health 2022;19(20):13287 View
  21. 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
  22. Amujo O, Ibeke E, Fuzi R, Ogara U, Iwendi C. Sentiment Computation of UK-Originated COVID-19 Vaccine Tweets: A Chronological Analysis and News Effect. Sustainability 2023;15(4):3212 View
  23. Gatto J, Seegmiller P, Johnston G, Preum S. Identifying the Perceived Severity of Patient-Generated Telemedical Queries Regarding COVID: Developing and Evaluating a Transfer Learning–Based Solution. JMIR Medical Informatics 2022;10(9):e37770 View
  24. Zeng Z, Sun S, Li Q. Multimodal negative sentiment recognition of online public opinion on public health emergencies based on graph convolutional networks and ensemble learning. Information Processing & Management 2023;60(4):103378 View
  25. Dupuy-Zini A, Audeh B, Gérardin C, Duclos C, Gagneux-Brunon A, Bousquet C. Users’ Reactions to Announced Vaccines Against COVID-19 Before Marketing in France: Analysis of Twitter Posts. Journal of Medical Internet Research 2023;25:e37237 View
  26. Fernandes-de-Oliveira G, Massarani L, Oliveira T, Scalfi G, Alves-dos-Santos-Junior M. The COVID-19 vaccine on Facebook: A study of emotions expressed by the Brazilian public. Comunicar 2023;31(76) View
  27. Liu J, Lu S, Zheng H. Analysis of Differences in User Groups and Post Sentiment of COVID-19 Vaccine Hesitators in Chinese Social-Media Platforms. Healthcare 2023;11(9):1207 View
  28. Nisch S. Frames and sentiments of the Twitter communication by German Chancellor Scholz during the Russian invasion of Ukraine. Politics in Central Europe 2023;19(3):593 View
  29. White B, Gombert A, Nguyen T, Yau B, Ishizumi A, Kirchner L, León A, Wilson H, Jaramillo-Gutierrez G, Cerquides J, D’Agostino M, Salvi C, Sreenath R, Rambaud K, Samhouri D, Briand S, Purnat T. Using Machine Learning Technology (Early Artificial Intelligence–Supported Response With Social Listening Platform) to Enhance Digital Social Understanding for the COVID-19 Infodemic: Development and Implementation Study. JMIR Infodemiology 2023;3:e47317 View
  30. Nisch S. Public opinion about Finland joining NATO: analysing Twitter posts by performing natural language processing. Journal of Contemporary European Studies 2024;32(1):272 View
  31. Claessens T, Krouwer S, Vandebosch H, Poels K. Pathways to informed choices: The impact of freedom of choice and two-sided messages on psychological reactance and vaccination intentions among individuals who express concerns. Vaccine 2023;41(42):6272 View
  32. Tasențe T, Carataș M, Alabdullah T. Analysis of sentiment in the European Central Bank’s social media activity during the Covid-19 pandemic and Ukraine War: A navigating crisis communication. Doxa Comunicación. Revista Interdisciplinar de Estudios de Comunicación y Ciencias Sociales 2024 View
  33. Slavin S, Berman A, Beam A, Navar A, Mittleman M. Statin Twitter: Human and Automated Bot Contributions, 2010 to 2022. Journal of the American Heart Association 2024;13(7) View