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

JMIR Theme Issue: COVID-19 Special Issue (2452) Vaccination and Immunization in the Digital Age (374) COVID-19 Vaccination (146) Infodemiology and Infoveillance (1349) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Mass Media/Social Media Communication and Campaigns (461) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517)

Published on in Vol 23, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24435, first published .
COVID-19 Vaccine–Related Discussion on Twitter: Topic Modeling and Sentiment Analysis

COVID-19 Vaccine–Related Discussion on Twitter: Topic Modeling and Sentiment Analysis

COVID-19 Vaccine–Related Discussion on Twitter: Topic Modeling and Sentiment Analysis

Authors of this article:

Joanne Chen Lyu1 Author Orcid Image ;   Eileen Le Han2 Author Orcid Image ;   Garving K Luli3 Author Orcid Image
Article Authors Cited by (204) Tweetations (10) Metrics

Journals

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  105. Lokmanoglu A, Nisbet E, Osborne M, Tien J, Malloy S, Cueva Chacón L, Villa Turek E, Abhari R. Social Media Sentiment about COVID-19 Vaccination Predicts Vaccine Acceptance among Peruvian Social Media Users the Next Day. Vaccines 2023;11(4):817 View
  106. Lee J, Hameleers M, Shin S. The emotional effects of multimodal disinformation: How multimodality, issue relevance, and anxiety affect misperceptions about the flu vaccine. New Media & Society 2024;26(12):6838 View
  107. Liu B, You J, Huang L, Chen M, Shen Y, Xiong L, Zheng S, Huang M. The 100 Most-Cited Articles in COVID-19 Vaccine Hesitancy Based on Web of Science: A Bibliometric Analysis. Infection and Drug Resistance 2023;Volume 16:2625 View
  108. Vishwakarma A, Chugh M. COVID-19 vaccination perception and outcome: society sentiment analysis on twitter data in India. Social Network Analysis and Mining 2023;13(1) View
  109. Shokoohyar S, Ghomi V, Jafari Gorizi A, Liang W, Sinclair A. Impact of COVID-19 outbreak and vaccination on ride-sharing services: a social media analysis. Transportation Letters 2024;16(6):527 View
  110. Li W, Sun R, He H, Chen L. How does three-dimensional landscape pattern affect urban residents' sentiments. Cities 2023;143:104619 View
  111. Zaidi Z, Ye M, Samon F, Jama A, Gopalakrishnan B, Gu C, Karunasekera S, Evans J, Kashima Y. Topics in Antivax and Provax Discourse: Yearlong Synoptic Study of COVID-19 Vaccine Tweets. Journal of Medical Internet Research 2023;25:e45069 View
  112. Liu Y, Shi J, Zhao C, Zhang C. Generalizing factors of COVID-19 vaccine attitudes in different regions: A summary generation and topic modeling approach. DIGITAL HEALTH 2023;9 View
  113. Shankar K, Chandrasekaran R, Jeripity Venkata P, Miketinas D. Investigating the Role of Nutrition in Enhancing Immunity During the COVID-19 Pandemic: Twitter Text-Mining Analysis. Journal of Medical Internet Research 2023;25:e47328 View
  114. KURNAZ A. Konu Modelleme Analizi ile İş İlanlarında İstenilen Pazarlama Becerilerinin Araştırılması. İktisadi İdari ve Siyasal Araştırmalar Dergisi 2023:937 View
  115. Wang Y, Willis E, Yeruva V, Ho D, Lee Y. A case study of using natural language processing to extract consumer insights from tweets in American cities for public health crises. BMC Public Health 2023;23(1) View
  116. Ma D, Zhang C, Zhao L, Huang Q, Liu B. An Analysis of the Evolution of Public Sentiment and Spatio-Temporal Dynamics Regarding Building Collapse Accidents Based on Sina Weibo Data. ISPRS International Journal of Geo-Information 2023;12(10):388 View
  117. Verjovsky M, Barreto M, Carmo I, Coutinho B, Thomer L, Lifschitz S, Jurberg C. Political quarrel overshadows vaccination advocacy: How the vaccine debate on Brazilian Twitter was framed by anti-vaxxers during Bolsonaro administration. Vaccine 2023;41(39):5715 View
  118. Li W, Haunert J, Knechtel J, Zhu J, Zhu Q, Dehbi Y. Social media insights on public perception and sentiment during and after disasters: The European floods in 2021 as a case study. Transactions in GIS 2023;27(6):1766 View
  119. Marshall D, McRee A, Gower A, Reiter P. Views about vaccines and how views changed during the COVID-19 pandemic among a national sample of young gay, bisexual, and other men who have sex with men. Human Vaccines & Immunotherapeutics 2023;19(3) View
  120. Lotto M, Zakir Hussain I, Kaur J, Butt Z, Cruvinel T, Morita P. Analysis of Fluoride-Free Content on Twitter: Topic Modeling Study. Journal of Medical Internet Research 2023;25:e44586 View
  121. 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
  122. Verma M, Moudgil N, Goel G, Pardeshi P, Joseph J, Kumar N, Singh K, Singh H, Kodali P. People’s perceptions on COVID-19 vaccination: an analysis of twitter discourse from four countries. Scientific Reports 2023;13(1) View
  123. Cheng T, Han B, Liu Y. Exploring public sentiment and vaccination uptake of COVID-19 vaccines in England: a spatiotemporal and sociodemographic analysis of Twitter data. Frontiers in Public Health 2023;11 View
  124. Stiletto A, Cei L, Trestini S. A Little Bird Told Me… Nutri-Score Panoramas from a Flight over Europe, Connecting Science and Society. Nutrients 2023;15(15):3367 View
  125. Zanchetta M, Fracazzo V, Lucchese S, Soares J, Costa E, Medeiros M. Interactions about Coping - Social Support during Pandemics by Brazilian Users: A Media Analysis Study. Revista de Enfermagem da UFSM 2023;13:e35 View
  126. Faizah , Lin B. Visualizing Change and Correlation of Topics With LDA and Agglomerative Clustering on COVID-19 Vaccine Tweets. IEEE Access 2023;11:51647 View
  127. Kahraman E, Demirel S, Gündüz U. COVID-19 vaccines in twitter ecosystem: Analyzing perceptions and attitudes by sentiment and text analysis method. Journal of Public Health 2023 View
  128. Christodoulakis N, Abdelkader W, Lokker C, Cotterchio M, Griffith L, Vanderloo L, Anderson L. Public Health Surveillance of Behavioral Cancer Risk Factors During the COVID-19 Pandemic: Sentiment and Emotion Analysis of Twitter Data. JMIR Formative Research 2023;7:e46874 View
  129. ShabaniMirzaei T, Chamani H, Abaskohi A, Zadeh Z, Bahrak B. A large-scale analysis of Persian Tweets regarding Covid-19 vaccination. Social Network Analysis and Mining 2023;13(1) View
  130. Liu Z, Orr S, Kumar P, Grau-Bove J. Measuring the impact of COVID-19 on heritage sites in the UK using social media data. Humanities and Social Sciences Communications 2023;10(1) View
  131. 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;15(3):12881 View
  132. Litvinova O, Matin F, Matin M, Zima-Kulisiewicz B, Tomasik C, Siddiquea B, Stoyanov J, Atanasov A, Willschke H. Patient safety discourse in a pandemic: a Twitter hashtag analysis study on #PatientSafety. Frontiers in Public Health 2023;11 View
  133. Lu M, Ali M, Zhang W, Kumar N. Mediation analysis of public emotions in response to policy implementation performance during crises: the case of COVID-19 management policies in the UK. Public Management Review 2024;26(8):2499 View
  134. Biswas M, Shah Z. Extracting factors associated with vaccination from Twitter data and mapping to behavioral models. Human Vaccines & Immunotherapeutics 2023;19(3) View
  135. Kim Saxton M, Colby H, Saxton T, Pasumarti V. Why or How? the impact of Construal-Level Theory on vaccine message receptivity. Journal of Business Research 2024;172:114436 View
  136. Sigalo N, Frias-Martinez V. Using COVID-19 Vaccine Attitudes Found in Tweets to Predict Vaccine Perceptions in Traditional Surveys: Infodemiology Study. JMIR Infodemiology 2023;3:e43700 View
  137. Harada N, Kuzmichev A, Dean H. COVID-19 Response of the Journal Public Health Reports (PHR), March 2020–March 2023. Public Health Reports® 2024;139(2):154 View
  138. Sandu A, Cotfas L, Delcea C, Crăciun L, Molănescu A. Sentiment Analysis in the Age of COVID-19: A Bibliometric Perspective. Information 2023;14(12):659 View
  139. Ahammad T. Identifying hidden patterns of fake COVID-19 news: An in-depth sentiment analysis and topic modeling approach. Natural Language Processing Journal 2024;6:100053 View
  140. 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
  141. Wang Y, Wang X, Zhang J, Shi M, Wanta W. Tracking attention about COVID-19 vaccines on twitter and newspapers: A dynamic agenda-setting approach. Telematics and Informatics Reports 2024;13:100122 View
  142. Kolandai K, Milne B, von Randow M, Bullen C, Marsh S, Crump J. Public opinion on global COVID-19 vaccine procurement and distribution policies: A nationally representative survey in Aotearoa New Zealand 2022. Vaccine 2024;42(6):1372 View
  143. Gyftopoulos S, Drosatos G, Fico G, Pecchia L, Kaldoudi E. Analysis of Pharmaceutical Companies’ Social Media Activity during the COVID-19 Pandemic and Its Impact on the Public. Behavioral Sciences 2024;14(2):128 View
  144. Zou H, Hyland K. “People should get their booster”. International Journal of Corpus Linguistics 2024 View
  145. Morita P, Lotto M, Kaur J, Chumachenko D, Oetomo A, Espiritu K, Hussain I. What is the impact of artificial intelligence-based chatbots on infodemic management?. Frontiers in Public Health 2024;12 View
  146. Zhang A, Ong C. “We Are Bulletproof”: The Transcultural Power of Fandom in #StopAsianHate. Sociological Inquiry 2024;94(2):391 View
  147. Sipilä J, Tarkiainen A, Levänen J. Exploration of public discussion around sustainable consumption on social media. Resources, Conservation and Recycling 2024;204:107505 View
  148. Kamba M, She W, Ferawati K, Wakamiya S, Aramaki E. Exploring the Impact of the COVID-19 Pandemic on Twitter in Japan: Qualitative Analysis of Disrupted Plans and Consequences. JMIR Infodemiology 2024;4:e49699 View
  149. Mehra V, Singh P, Bharany S, Sawhney R. Sports, crisis, and social media: a Twitter-based exploration of the Tokyo Olympics in the COVID-19 era. Social Network Analysis and Mining 2024;14(1) View
  150. Li Y, Chen M, Lee H. Health communication on social media at the early stage of the pandemic: Examining health professionals’ COVID-19 related tweets. Social Science & Medicine 2024;347:116748 View
  151. Nelson V, Bashyal B, Tan P, Argyris Y. Vaccine rhetoric on social media and COVID-19 vaccine uptake rates: A triangulation using self-reported vaccine acceptance. Social Science & Medicine 2024;348:116775 View
  152. Bhatia T, Rathi S, Singh T, Naha B. Sentiment Analysis of Covid Vaccine Myths using Various Data Visualization Tools. EAI Endorsed Transactions on Pervasive Health and Technology 2024;10 View
  153. Zhang J, Wang Y, Mouton M, Zhang J, Shi M. Public Discourse, User Reactions, and Conspiracy Theories on the X Platform About HIV Vaccines: Data Mining and Content Analysis. Journal of Medical Internet Research 2024;26:e53375 View
  154. Mamo Y, Crompton H, Burke D, Nickel C. Higher Education Faculty Perceptions of ChatGPT and the Influencing Factors: A Sentiment Analysis of X. TechTrends 2024;68(3):520 View
  155. Tarango García A, Lugo-Reyes S, Alvarez Cardona A. Análisis de sentimientos acerca de la inmunoterapia con alérgenos en Twitter mediante un modelo de procesamiento natural de lenguaje. Revista Alergia México 2024;71(1):8 View
  156. Mondal H, Mickael M, Matin M, Hrg D, Smith M, Matin F, Stoyanov J, Parvanov E, Atanasov A. The power of #physiotherapy: a social media hashtag investigation on X (formerly Twitter). Exploration of Digital Health Technologies 2024;(3):135 View
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  161. Choi S, Eom S. Using Twitter to fight the COVID-19 pandemic: the case of United States governors. Public Management Review 2024:1 View
  162. Santos P, Oliveira L, Lima M, Souza D, Silva J, Oliveira G, Brom P, Chahad A, Lopes C, Silva M, Batista K. Exploring public-private partnerships in Latin America and the Caribbean using topic modeling and sentiment analysis. Caderno Pedagógico 2024;21(9):e7428 View
  163. Takedomi Y, Nakayama Y, Suda T, Uno T, Hashimoto T, Toyoda M, Yoshinaga N, Kitsuregawa M, Kobayashi R. Evolution of COVID-19 Vaccination-related Topics on Twitter. Transactions of the Japanese Society for Artificial Intelligence 2024;39(5):C-N93_1 View
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  167. Kang X, Stamolampros P. Unveiling public perceptions at the beginning of lockdown: an application of structural topic modeling and sentiment analysis in the UK and India. BMC Public Health 2024;24(1) View
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Books/Policy Documents

  1. Utsu K, Yagi N, Fukushima A, Takemori Y, Okazaki A, Uchida O. Information Technology in Disaster Risk Reduction. View
  2. Lezama Sánchez A, Tovar Vidal M, Reyes-Ortiz J. Proceedings of the Future Technologies Conference (FTC) 2022, Volume 3. View
  3. Dhir K, Singh P, Dwivedi Y, Sawhney S, Sawhney R. Co-creating for Context in the Transfer and Diffusion of IT. View
  4. Pachlore A, Chakkarwar V. Proceedings of the First International Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022). View
  5. Kusbaryanto , Fathurrohmanuthor . Intelligent Sustainable Systems. View
  6. Okeya-Olayinka A. Public Health Communication Challenges to Minority and Indigenous Communities. View
  7. Moreno-Ortiz A. Making Sense of Large Social Media Corpora. View
  8. Sarker A. Natural Language Processing in Biomedicine. View
  9. Rossouw S, Greyling T. Resistance to COVID-19 Vaccination. View
  10. Cavanagh A. Anti-Vaccination and the Media. View