Published on in Vol 23, No 4 (2021): April
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/26627, first published
.
Journals
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- Pelletier C, Labbé F, Bettinger J, Curran J, Graham J, Greyson D, MacDonald N, Meyer S, Steenbeek A, Xu W, Dubé È. From high hopes to disenchantment: A qualitative analysis of editorial cartoons on COVID-19 vaccines in Canadian newspapers. Vaccine 2023;41(30):4384 View
- 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
- 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
- Christiani C, Mulajaya R. Jogo Tonggo Program Policy Innovation In Handling Covid-19 In Central Java Province. International Journal of Social Science and Business 2024;7(3):802 View
- Huang X, Wang S, Yang D, Hu T, Chen M, Zhang M, Zhang G, Biljecki F, Lu T, Zou L, Wu C, Park Y, Li X, Liu Y, Fan H, Mitchell J, Li Z, Hohl A. Crowdsourcing Geospatial Data for Earth and Human Observations: A Review. Journal of Remote Sensing 2024;4 View
- 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
- Aldosery A, Carruthers R, Kay K, Cave C, Reynolds P, Kostkova P. Enhancing public health response: a framework for topics and sentiment analysis of COVID-19 in the UK using Twitter and the embedded topic model. Frontiers in Public Health 2024;12 View
- Park B, Jang I, Kwak D. Sentiment analysis of the COVID-19 vaccine perception. Health Informatics Journal 2024;30(1) View
- 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
- Revez J. REDES SOCIALES Y DESINFORMACIÓN EN SALUD: EL CASO DE FACEBOOK. Revista EDICIC 2022;2(3) View
- 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
- Hussain A, Hussain Z, Gogate M, Dashtipour K, Ng D, Riaz M, Goman A, Sheikh A, Hussain A, Clark M. Impact of the Covid-19 pandemic on audiology service delivery: Observational study of the role of social media in patient communication. PLOS ONE 2024;19(4):e0288223 View
- Gomez-Adorno H, Bel-Enguix G, Sierra G, Barajas J, Álvarez W. Machine Learning and Deep Learning Sentiment Analysis Models: Case Study on the SENT-COVID Corpus of Tweets in Mexican Spanish. Informatics 2024;11(2):24 View
- Xu Z, Fang Q, Huang Y, Xie M, Yadav J. The public attitude towards ChatGPT on reddit: A study based on unsupervised learning from sentiment analysis and topic modeling. PLOS ONE 2024;19(5):e0302502 View
- Balcarova T, Pilarova L, Prokop M, Jadrna M, Kvasnickova Stanislavska L, Pilar L. Analysis of green deal communication on twitter: environmental and political perspective. Frontiers in Environmental Science 2024;12 View
- DeMora S, Granados Samayoa J, Albarracín D. Social media use and vaccination among Democrats and Republicans: Informational and normative influences. Social Science & Medicine 2024;352:117031 View
- Golos A, Guntuku S, Buttenheim A. “Do not inject our babies”: a social listening analysis of public opinion about authorizing pediatric COVID-19 vaccines. Health Affairs Scholar 2024;2(7) View
- Ali G, Rahman M, Hossain M, Rahman M, Paul K, Thill J, Samuel J. Public Perceptions of COVID-19 Vaccines: Policy Implications from US Spatiotemporal Sentiment Analytics. Healthcare 2021;9(9):1110 View
- Franceschini R, Rosi A, Catani F, Casagli N. Detecting information from Twitter on landslide hazards in Italy using deep learning models. Geoenvironmental Disasters 2024;11(1) View
- Liu Y, Zhao C, Zhang C. Understanding COVID-19 vaccine hesitancy of different regions in the post-epidemic era: A causality deep learning approach. DIGITAL HEALTH 2024;10 View
- Park S, Jiang Y, Kim H. Importance-Induced Customer Segmentation Using Explainable Machine Learning. Journal of Mechanical Design 2025;147(4) View
Books/Policy Documents
- Shiau Ching Wong S, Tan J, Gan K, Tan T. Handbook of Research on Artificial Intelligence Applications in Literary Works and Social Media. View
- Almadan A, Maher M, Pereira F, Guo Y. Advances in Information and Communication. View
- Singh A, Bhasin V, Jatana A, Saxena N, Rojal S. International Conference on Innovative Computing and Communications. View
- Küçük D, Arıcı N. Handbook of Research on Opinion Mining and Text Analytics on Literary Works and Social Media. View
- Sun R, An L, Li G. Information for a Better World: Normality, Virtuality, Physicality, Inclusivity. View
- Siddique A, Anisuzzaman B, Al Mamun T, Mukta M, Mamun K. The Fourth Industrial Revolution and Beyond. View
- Turska-Kawa A, Stępień-Lampa N. War in Ukraine. Media and Emotions. View
- Dutta S, Mukherjee U, Pandey D. Handbook of Research on Thrust Technologies’ Effect on Image Processing. View
- Yang L. Wisdom, Well-Being, Win-Win. View
- Siddiqua A, Kabir M, Chowdhury M. Surveillance, Prevention, and Control of Infectious Diseases. View
- Rossouw S, Greyling T. Resistance to COVID-19 Vaccination. View
- Ventura V, Jezek E. Proceedings of the Eighth Italian Conference on Computational Linguistics CliC-it 2021. View