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

Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1530) Infodemiology and Infoveillance (1454) JMIR Theme Issue: COVID-19 Special Issue (2493) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1786) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1087)

Published on in Vol 6, No 2 (2020): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19447, first published .
Global Sentiments Surrounding the COVID-19 Pandemic on Twitter: Analysis of Twitter Trends

Global Sentiments Surrounding the COVID-19 Pandemic on Twitter: Analysis of Twitter Trends

Global Sentiments Surrounding the COVID-19 Pandemic on Twitter: Analysis of Twitter Trends

Authors of this article:

May Oo Lwin1 Author Orcid Image ;   Jiahui Lu2 Author Orcid Image ;   Anita Sheldenkar1 Author Orcid Image ;   Peter Johannes Schulz3 Author Orcid Image ;   Wonsun Shin4 Author Orcid Image ;   Raj Gupta5 Author Orcid Image ;   Yinping Yang5 Author Orcid Image
Article Authors Cited by (316) Tweetations (8) Metrics

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  255. Huang N, Wong L, Ho S, Timothy B. Understanding Challenges and Emotions of Informal Caregivers of General Older Adults and People With Alzheimer Disease and Related Dementia: Comparative Study. Journal of Medical Internet Research 2025;27:e54847 View
  256. Jia B, Xie M, Wu J, Zhao J. Underneath social media texts: Sentiment responses to public health emergency during 2022 COVID-19 pandemic in China. International Journal of Disaster Risk Reduction 2025;118:105239 View
  257. Diwanji V, Geana M, Pei J, Nguyen N, Izhar N, Chaif R. Consumers’ Emotional Responses to AI-Generated Versus Human-Generated Content: The Role of Perceived Agency, Affect and Gaze in Health Marketing. International Journal of Human–Computer Interaction 2025:1 View
  258. Ding X, Shang B, Xie C, Xin J, Yu F. Artificial intelligence in the COVID-19 pandemic: balancing benefits and ethical challenges in China’s response. Humanities and Social Sciences Communications 2025;12(1) View
  259. Hanny D, Arifi D, Knoblauch S, Resch B, Lautenbach S, Zipf A, de Aragão Rocha A. An explainable GeoAI approach for the multimodal analysis of urban human dynamics: a case study for the COVID-19 pandemic in Rio de Janeiro. Computational Urban Science 2025;5(1) View
  260. Humayun M, Javed D, Jhanjhi N, Fahaad Almufareh M, Naif Almuayqil S. Deep Learning Based Sentiment Analysis of COVID-19 Tweets via Resampling and Label Analysis. Computer Systems Science and Engineering 2023;47(1):575 View
  261. Zhang C, Wang T, Dong C, Dai D, Zhou L, Li Z, Xu S. Exploring Psychological Trends in Populations With Chronic Obstructive Pulmonary Disease During COVID-19 and Beyond: Large-Scale Longitudinal Twitter Mining Study. Journal of Medical Internet Research 2025;27:e54543 View
  262. Liu Y, Yan X, Liu T, Chen Y. Understanding Public Emotions: Spatiotemporal Dynamics in the Post-Pandemic Era Through Weibo Data. Behavioral Sciences 2025;15(3):364 View
  263. Silva D, Junça-Silva A, Pinheiro P, Sucena A. Fifty shades of black: when negative emotions enhance the relationship between the dark triad and knowledge sabotage. International Journal of Organizational Analysis 2025 View
  264. Khakimova A, Zolotarev O, Kaushal S. Methodology for visual analysis of psychological tension in online discourse on coronavirus vaccination. Global Knowledge, Memory and Communication 2025 View
  265. Ordorika Sacristán T, Tenorio Tovar N. Evento masivo de muerte, inseguridad ontológica y orientaciones emocionales: por una lectura crítica de la pandemia por la COVID-19 desde las ciencias sociales. INTER DISCIPLINA 2025;13(36):225 View

Books/Policy Documents

  1. Koinig I. Risk Management. View
  2. Wright K. Communicating Science in Times of Crisis. View
  3. Alsoubai A, Song J, Razi A, Dacre P, Wisniewski P. Social Computing and Social Media: Applications in Marketing, Learning, and Health. View
  4. Yan Y, Chin W, Leong C, Wang Y, Feng C. Mapping COVID-19 in Space and Time. View
  5. Babić K, Petrović M, Beliga S, Martinčić-Ipšić S, Jarynowski A, Meštrović A. Proceedings of Sixth International Congress on Information and Communication Technology. View
  6. Fernandez G, Maione C, Zaballa K, Bonnici N, Spitzberg B, Carter J, Yang H, McKew J, Bonora F, Ghodke S, Jin C, De Ocampo R, Kepner W, Tsou M. Empowering Human Dynamics Research with Social Media and Geospatial Data Analytics. View
  7. Miliou I, Pavlopoulos J, Papapetrou P. Discovery Science. View
  8. Bogović P, Meštrović A, Martinčić-Ipšić S. Information and Software Technologies. View
  9. Rushee K, Rahim M, Levula A, Mahdavi M. Advanced Information Networking and Applications. View
  10. Zhao Q, Nie L, Xu X. Comparative Studies on Pandemic Control Policies and the Resilience of Society. View
  11. Koinig I. Advances in Advertising Research (Vol. XII). View
  12. Burns R. The Human Impact of the COVID-19 Pandemic. View
  13. Comito C. Artificial Intelligence in Healthcare and COVID-19. View
  14. Wang G, Li W, Wu S, Bai Q, Lai E. PRICAI 2023: Trends in Artificial Intelligence. View
  15. Seki Y. Advances in Sentiment Analysis - Techniques, Applications, and Challenges. View
  16. Shahi G. Digital Transformation. View
  17. Nadin M. Disrupt Science. View
  18. Osop H, Wong J, Lwin S, Lee C. Leveraging Generative Intelligence in Digital Libraries: Towards Human-Machine Collaboration. View
  19. Flood F, Klausner M. Global Encyclopedia of Public Administration, Public Policy, and Governance. View
  20. Gyftopoulos S, Drosatos G, Pecchia L, Fico G, Kaldoudi E. MEDICON’23 and CMBEBIH’23. View
  21. Flood F, Klausner M. Global Encyclopedia of Public Administration, Public Policy, and Governance. View
  22. Zar A, Zar L, Mohsen S, Magdi Y, Zughaier S. Surveillance, Prevention, and Control of Infectious Diseases. View
  23. Dempere J. Advancements in Health Sciences. View
  24. Kaufman D, Taylor T. Human Computer Interaction in Healthcare. View
  25. Oliveira F, Sichman J. Intelligent Systems. View

Conference Proceedings

  1. Venigalla A, Chimalakonda S, Vagavolu D. Conference Companion Publication of the 2020 on Computer Supported Cooperative Work and Social Computing. Mood of India During Covid-19 - An Interactive Web Portal Based on Emotion Analysis of Twitter Data View
  2. Shaynn-Ly Kwan J, Hui Lim K. 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). Understanding Public Sentiments, Opinions and Topics about COVID-19 using Twitter View
  3. Tyagi P, Goyal N, Gupta T. 2021 9th International Conference on Information and Education Technology (ICIET). Analysis of COVID-19 Tweets During Lockdown Phases View
  4. Xu H, Liu R, Luo Z, Xu M, Wang B. 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC). COVID-19 Vaccine Sensing: Sentiment Analysis from Twitter Data View
  5. Apriantoni , Thooriqoh H, Fatichah C, Purwitasari D. 2021 13th International Conference on Information & Communication Technology and System (ICTS). Topic Detection in Sentiment Analysis of Twitter Texts for Understanding The COVID-19 Effect in Local Economic Activities View
  6. Jubair F, Salim N, Al-Karadsheh O, Hassona Y, Saifan R, Abdel-Majeed M. 2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI). Sentiment Analysis for Twitter Chatter During the Early Outbreak Period of COVID-19 View
  7. Xavier F, Amaral G, Olenscki J, Acosta A, Vianna M, Sallum M, Saraiva A. 2022 Applied Informatics International Conference (AiIC). Who is Tweeting about COVID-19 View
  8. Sabaruddin R, Saee S. 2021 IEEE 19th Student Conference on Research and Development (SCOReD). Malay Tweets: Discovering Mental Health Situation during COVID-19 Pandemic in Malaysia View
  9. Babic K, Petrovic M, Beliga S, Martincic-Ipsic S, Pranjic M, Mestrovic A. 2021 44th International Convention on Information, Communication and Electronic Technology (MIPRO). Prediction of COVID-19 Related Information Spreading on Twitter View
  10. Petrovic M, Hrelja A, Mestrovic A. 2022 45th Jubilee International Convention on Information, Communication and Electronic Technology (MIPRO). Prediction of COVID-19 tweeting: classification based on graph neural networks View
  11. Kaur S, Kaul P, Zadeh P. 2020 Seventh International Conference on Social Networks Analysis, Management and Security (SNAMS). Study the Impact of COVID-19 on Twitter Users with respect to Social Isolation View
  12. Marivate V, Moodley A, Saba A. 2021 IEEE AFRICON. Extracting and categorising the reactions to COVID-19 by the South African public - A social media study View
  13. Sun H, Cui Q, Xue T. 2021 8th International Conference on Behavioral and Social Computing (BESC). Facing COVID-19 in China and the US: Do we have the same emotions? View
  14. Aparicio J, Salema de Sequeira J, Costa C. 2021 16th Iberian Conference on Information Systems and Technologies (CISTI). Emotion analysis of Portuguese Political Parties Communication over the covid-19 Pandemic View
  15. Xue T, Sun H, Zhang J. 2021 8th International Conference on Behavioral and Social Computing (BESC). Spatial Characteristics of Emotions in Disaster Areas and Non-disaster Areas: Use the Flood in Southern China as An Example View
  16. Comito C. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). Social Media Mining and Analysis to support authorities in COVID-19 pandemic preparedness View
  17. Rifat N, Ahsan M, Gomes R, Chowdhury M. 2022 IEEE International Conference on Electro Information Technology (eIT). COVID-19 Sentiment Analysis applying BERT View
  18. Nugroho B, Yoganingrum A, Febriandirza A, Prasetyadi A. Proceedings of the 2021 International Conference on Computer, Control, Informatics and Its Applications. Predicting New Covid-19 Outbreak Clusters among the “Science Denial” Communities View
  19. Xue T, Sun H, Zhang M. 2020 7th International Conference on Behavioural and Social Computing (BESC). How public emotions change with emergent social events View
  20. Dhankar A, Samuel H, Hassan F, Farruque N, Bolduc F, Zaiane O. 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI). Analysis of COVID-19 Misinformation in Social Media using Transfer Learning View
  21. David U, Karabatak M. 2022 10th International Symposium on Digital Forensics and Security (ISDFS). Text Clustering of COVID-19 Vaccine Tweets View
  22. Mohammed I, Abbas A. 2021 International Conference on Communication & Information Technology (ICICT). Twitter APIs for Collecting Data of Influenza Viruses, A Systematic Review View
  23. Bao Y, Li X, Ren F. 2023 IEEE 9th International Conference on Cloud Computing and Intelligent Systems (CCIS). 3M: Multi-Task Multi-Prompt Learning Model for Aspect Based Sentiment Analysis View
  24. Sajinika H, Vasanthapriyan S, Wijeratne P. 2022 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE). Twitter Sentiment Analysis on Online Learning During COVID-19 Pandemic View
  25. García J, Figueroa X, Vaca C, Orozco D, Baquerizo-Neira G, Jimenez-Pazmino P, Fantoni C. 2024 Tenth International Conference on eDemocracy & eGovernment (ICEDEG). Identifying Citizen Interests During the COVID-19 Pandemic Using Context Change in Twitter Conversations View

Dissertations

  1. . Understanding the Diffusion of COVID-19-Related Information on Social Media. View