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

Preprints (earlier versions) of this paper are available at, 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


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  131. Ghanem A, Asaad C, Hafidi H, Moukafih Y, Guermah B, Sbihi N, Zakroum M, Ghogho M, Dairi M, Cherqaoui M, Baina K. Real-Time Infoveillance of Moroccan Social Media Users’ Sentiments towards the COVID-19 Pandemic and Its Management. International Journal of Environmental Research and Public Health 2021;18(22):12172 View
  132. Mwangale Kiptinness E, Okoye J, Shiri R. Media coverage of the novel Coronavirus (Covid-19) in Kenya and Tanzania: Content analysis of newspaper articles in East Africa. Cogent Medicine 2021;8(1) View
  133. Yuan L, Wang M, Umakanthan S. The emotion bias of health product consumers in the context of COVID-19. PLOS ONE 2022;17(11):e0278219 View
  134. Obreja D. Narrative communication regarding the Covid-19 vaccine: a thematic analysis of comments on Romanian official Facebook page “RO Vaccinare”. SN Social Sciences 2022;2(8) View
  135. 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. The Geography of Covid-19 Spread in Italy Using Social Media and Geospatial Data Analytics. The International Journal of Intelligence, Security, and Public Affairs 2021;23(3):228 View
  136. Vyas P, Reisslein M, Rimal B, Vyas G, Basyal G, Muzumdar P. Automated Classification of Societal Sentiments on Twitter With Machine Learning. IEEE Transactions on Technology and Society 2022;3(2):100 View
  137. Ng Q, Yau C, Lim Y, Wong L, Liew T. Public sentiment on the global outbreak of monkeypox: an unsupervised machine learning analysis of 352,182 twitter posts. Public Health 2022;213:1 View
  138. Singhal A, Baxi M, Mago V. Synergy Between Public and Private Health Care Organizations During COVID-19 on Twitter: Sentiment and Engagement Analysis Using Forecasting Models. JMIR Medical Informatics 2022;10(8):e37829 View
  139. Kubacka M, Luczys P, Modrzyk A, Stamm A. Pandemic rage: Everyday frustrations in times of the COVID-19 crisis. Current Sociology 2023;71(5):887 View
  140. Choi D. The multifaceted impact of social media on risk, behavior, and negative emotions during the COVID-19 outbreak in South Korea. Asian Journal of Communication 2021;31(5):337 View
  141. Wolaver A, Doces J. The impact of COVID‐19 and political identification on framing bias in an infectious disease experiment: The frame reigns supreme. Social Science Quarterly 2021;102(6):2459 View
  142. León-Sandoval E, Zareei M, Barbosa-Santillán L, Falcón Morales L, Pareja Lora A, Ochoa Ruiz G, Hošovský A. Monitoring the Emotional Response to the COVID-19 Pandemic Using Sentiment Analysis: A Case Study in Mexico. Computational Intelligence and Neuroscience 2022;2022:1 View
  143. Fattoh I, Kamal Alsheref F, Ead W, Youssef A, Alonso-Betanzos A. Semantic Sentiment Classification for COVID-19 Tweets Using Universal Sentence Encoder. Computational Intelligence and Neuroscience 2022;2022:1 View
  144. Wang R, Zhang H. Who spread COVID-19 (mis)information online? Differential informedness, psychological mechanisms, and intervention strategies. Computers in Human Behavior 2023;138:107486 View
  145. Zahry N, McCluskey M, Ling J. Risk governance during the COVID‐19 pandemic: A quantitative content analysis of governors' narratives on twitter. Journal of Contingencies and Crisis Management 2023;31(1):77 View
  146. ‘Ali N, Rosenberg D. Understanding the consideration of strategies for coping with locality violence in Arab society in Israel. Security Journal 2023 View
  147. Kyröläinen A, Luke J, Libben G, Kuperman V. Valence norms for 3,600 English words collected during the COVID-19 pandemic: Effects of age and the pandemic. Behavior Research Methods 2021;54(5):2445 View
  148. Khraisat B, Toubasi A, AlZoubi L, Al-Sayegh T, Mansour A. Meta-analysis of prevalence: the psychological sequelae among COVID-19 survivors. International Journal of Psychiatry in Clinical Practice 2022;26(3):234 View
  149. Monzani D, Vergani L, Pizzoli S, Marton G, Pravettoni G. Emotional Tone, Analytical Thinking, and Somatosensory Processes of a Sample of Italian Tweets During the First Phases of the COVID-19 Pandemic: Observational Study. Journal of Medical Internet Research 2021;23(10):e29820 View
  150. Zhang Q, Yi G, Chen L, He W, Kaddoura S. Sentiment analysis and causal learning of COVID-19 tweets prior to the rollout of vaccines. PLOS ONE 2023;18(2):e0277878 View
  151. Huang C, Bandyopadhyay A, Fan W, Miller A, Gilbertson-White S, Chen Z. Mental toll on working women during the COVID-19 pandemic: An exploratory study using Reddit data. PLOS ONE 2023;18(1):e0280049 View
  152. Beliga S, Martinčić-Ipšić S, Matešić M, Petrijevčanin Vuksanović I, Meštrović A. Infoveillance of the Croatian Online Media During the COVID-19 Pandemic: One-Year Longitudinal Study Using Natural Language Processing. JMIR Public Health and Surveillance 2021;7(12):e31540 View
  153. Stevens H, Rasul M, Oh Y. Emotions and Incivility in Vaccine Mandate Discourse: Natural Language Processing Insights. JMIR Infodemiology 2022;2(2):e37635 View
  154. Parthasarathi , Kumari G. Religious Tweets During COVID-19: Qualitative Analysis of Articulation of Ideas of Netizens. Media Watch 2022;13(1):104 View
  155. Lee E, Zheng H, Goh D, Lee C, Theng Y. Examining COVID-19 Tweet Diffusion Using an Integrated Social Amplification of Risk and Issue-Attention Cycle Framework. Health Communication 2023:1 View
  156. Lorenzoni V, Andreozzi G, Bazzani A, Casigliani V, Pirri S, Tavoschi L, Turchetti G. How Italy Tweeted about COVID-19: Detecting Reactions to the Pandemic from Social Media. International Journal of Environmental Research and Public Health 2022;19(13):7785 View
  157. Jabeen A, Afzal S, Maqsood M, Mehmood I, Yasmin S, Tabish Niaz M, Nam Y. An LSTM Based Forecasting for Major Stock Sectors Using COVID Sentiment. Computers, Materials & Continua 2021;67(1):1191 View
  158. Pourkarim M, Nayebzadeh S, Alavian S, Hataminasab S. Digital Marketing: A Unique Multidisciplinary Approach towards the Elimination of Viral Hepatitis. Pathogens 2022;11(6):626 View
  159. Zhang W, Li L, Mou J, Zhang M, Cheng X, Xia H. Mediating Effects of Attitudes, Risk Perceptions, and Negative Emotions on Coping Behaviors. Journal of Organizational and End User Computing 2022;34(6):1 View
  160. Pelegrín-Borondo J, Arias-Oliva M, Almahameed A, Prado Román M. Covid-19 vaccines: A model of acceptance behavior in the healthcare sector. European Research on Management and Business Economics 2021;27(3):100171 View
  161. Mazzuca C, Falcinelli I, Michalland A, Tummolini L, Borghi A. Differences and similarities in the conceptualization of COVID-19 and other diseases in the first Italian lockdown. Scientific Reports 2021;11(1) View
  162. Hopkins S, Stark A, Zinoviev D, Tousignant O, Fireman G. College student expression on Twitter during the COVID-19 pandemic. Journal of American College Health 2022:1 View
  163. Choi R, Nagappan A, Kopyto D, Wexler A. Pregnant at the start of the pandemic: a content analysis of COVID-19-related posts on online pregnancy discussion boards. BMC Pregnancy and Childbirth 2022;22(1) View
  164. Houlden S, Hodson J, Veletsianos G, Thompson C, Reid D. Inoculating an Infodemic: An Ecological Approach to Understanding Engagement With COVID-19 Online Information. American Behavioral Scientist 2021;65(14):1990 View
  165. Nguyen H, Tsolak D, Karmann A, Knauff S, Kühne S. Efficient and Reliable Geocoding of German Twitter Data to Enable Spatial Data Linkage to Official Statistics and Other Data Sources. Frontiers in Sociology 2022;7 View
  166. Altan H, Coşgun A. Analysis of tweets on toothache during the COVID-19 pandemic using the CrystalFeel algorithm: a cross-sectional study. BMC Oral Health 2021;21(1) View
  167. Xu H, Liu R, Luo Z, Xu M. COVID-19 vaccine sensing: Sentiment analysis and subject distillation from twitter data. Telematics and Informatics Reports 2022;8:100016 View
  168. Houlden S, Veletsianos G, Hodson J, Reid D, Thompson C. COVID-19 health misinformation: using design-based research to develop a theoretical framework for intervention. Health Education 2022;122(5):506 View
  169. F. Ibrahim A, Hassaballah M, A. Ali A, Nam Y, A. Ibrahim I. COVID19 Outbreak: A Hierarchical Framework for User Sentiment Analysis. Computers, Materials & Continua 2022;70(2):2507 View
  170. Kada A, Chouikh A, Mellouli S, Prashad A, Straus S, Fahim C, Gaito S. An exploration of Canadian government officials’ COVID-19 messages and the public’s reaction using social media data. PLOS ONE 2022;17(9):e0273153 View
  171. Fernandez G, Maione C, Yang H, Zaballa K, Bonnici N, Carter J, Spitzberg B, Jin C, Tsou M. Social Network Analysis of COVID-19 Sentiments: 10 Metropolitan Cities in Italy. International Journal of Environmental Research and Public Health 2022;19(13):7720 View
  172. Drescher L, Roosen J, Aue K, Dressel K, Schär W, Götz A. The Spread of COVID-19 Crisis Communication by German Public Authorities and Experts on Twitter: Quantitative Content Analysis. JMIR Public Health and Surveillance 2021;7(12):e31834 View
  173. Jain V, Kashyap K. Multilayer hybrid ensemble machine learning model for analysis of Covid-19 vaccine sentiments. Journal of Intelligent & Fuzzy Systems 2022;43(5):6307 View
  174. Waggoner P, Shapiro R, Frederick S, Gong M. Uncovering the Online Social Structure Surrounding COVID-19. Journal of Social Computing 2021;2(2):157 View
  175. Karabin M, Kyröläinen A, Kuperman V. Increase in Linguistic Complexity in Older Adults During COVID-19. Experimental Aging Research 2023:1 View
  176. Rosato C, Moore R, Carter M, Heap J, Harris J, Storopoli J, Maskell S. Extracting Self-Reported COVID-19 Symptom Tweets and Twitter Movement Mobility Origin/Destination Matrices to Inform Disease Models. Information 2023;14(3):170 View
  177. 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
  178. Xie T, Ge Y, Xu Q, Chen S. Public Awareness and Sentiment Analysis of COVID-Related Discussions Using BERT-Based Infoveillance. AI 2023;4(1):333 View
  179. Handayani P, Zagatti G, Kefi H, Bressan S. Impact of Social Media Usage on Users’ COVID-19 Protective Behavior: Survey Study in Indonesia. JMIR Formative Research 2023;7:e46661 View
  180. Amores J, Blanco-Herrero D, Arcila-Calderón C. The Conversation around COVID-19 on Twitter—Sentiment Analysis and Topic Modelling to Analyse Tweets Published in English during the First Wave of the Pandemic. Journalism and Media 2023;4(2):467 View
  181. Muitana G, Amato C. Topics, concerns, and feelings commented on Facebook after the first death by COVID-19 in Mozambique. Revista de Investigación e Innovación en Ciencias de la Salud 2023;5(1):press View
  182. Sukhavasi N, Misra J, Kaulgud V, Podder S. Geo-sentiment trends analysis of tweets in context of economy and employment during COVID-19. Journal of Computational Social Science 2023;6(2):411 View
  183. Anoop V, Sreelakshmi S. Public discourse and sentiment during Mpox outbreak: an analysis using natural language processing. Public Health 2023;218:114 View
  184. Robinson J. Global health, global networks: a multilingual network approach to COVID-19 tweets in Norway, Korea, and Italy. Health & New Media Research 2022;6(2):174 View
  185. Das D, Pal S, Jena L. Emotional Labour During the COVID-19 Pandemic—Current Inquiry and Suggested Future Research Directions. Management and Labour Studies 2023;48(4):560 View
  186. Guo Y, Hou Y, Xiang H, Chen L. “Help Us!”: a content analysis of COVID-19 help-seeking posts on Weibo during the first lockdown. BMC Public Health 2023;23(1) View
  187. Mao L, Chu E, Gu J, Hu T, Weiner B, Su Y. A 4D Theoretical Framework for Measuring Topic-Specific Influence on Twitter: Development and Usability Study on Dietary Sodium Tweets. Journal of Medical Internet Research 2023;25:e45897 View
  188. 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 2023:1 View
  190. Lee J, Kalny C, Demetriades S, Walter N. Angry Content for Angry People: How Anger Appeals Facilitate Health Misinformation Recall on Social Media. Media Psychology 2023:1 View
  191. Elliott J, Tong C, Gregg S, Mallinson S, Giguere A, Brierley M, Giosa J, MacNeil M, Juzwishin D, Sims-Gould J, Rockwood K, Stolee P. Policy and practices in primary care that supported the provision and receipt of care for older persons during the COVID-19 pandemic: a qualitative case study in three Canadian provinces. BMC Primary Care 2023;24(1) View
  192. Alvarez-Mon M, Pereira-Sanchez V, Hooker E, Sanchez F, Alvarez-Mon M, Teo A. Content and User Engagement of Health-Related Behavior Tweets Posted by Mass Media Outlets From Spain and the United States Early in the COVID-19 Pandemic: Observational Infodemiology Study. JMIR Infodemiology 2023;3:e43685 View
  193. Li Y, Huang S, Wei J, Brindle T, Lee C. What captures attention in the risk communication process: Exploring streaming video attractiveness during the first wave of the COVID-19 pandemic in China. Computers in Human Behavior 2023;149:107909 View
  194. Rodrigues P, Borges A, Brochado A, Sousa A. COVID-19 vaccine hesitation and brand choice uncertainty. International Journal of Pharmaceutical and Healthcare Marketing 2023;17(4):495 View
  195. Scharnetzki E, Waterston L, Scherer A, Thorpe A, Fagerlin A, Han P. Effects of Prosocial and Hope-Promoting Communication Strategies on COVID-19 Worry and Intentions for Risk-Reducing Behaviors and Vaccination: Experimental Study. JMIR Formative Research 2023;7:e41959 View
  196. Song L, Zhang A, Hu Z. Greenspace exposure is conducive to the resilience of public sentiment during the COVID-19 pandemic. Health & Place 2023;83:103096 View
  197. Fleury-Bahi G, Sapin A, Navarro O, Boudoukha A, Galharret J, Bret A, Congard A. Willingness to be vaccinated against COVID-19: the role of risk perception, trust in institutions, and affects. Frontiers in Psychology 2023;14 View
  198. Gao J, Gallegos G, West J. Public Health Policy, Political Ideology, and Public Emotion Related to COVID-19 in the U.S. International Journal of Environmental Research and Public Health 2023;20(21):6993 View
  199. Khakimova A, Zolotarev O, Sharma B, Agrawal S, Jain S. Methods for Assessing the Psychological Tension of Social Network Users during the Coronavirus Pandemic and Its Uses for Predictive Analysis. Sustainability 2023;15(13):10008 View
  200. 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
  201. Stefanis C, Giorgi E, Kalentzis K, Tselemponis A, Nena E, Tsigalou C, Kontogiorgis C, Kourkoutas Y, Chatzak E, Dokas I, Constantinidis T, Bezirtzoglou E. Sentiment analysis of epidemiological surveillance reports on COVID-19 in Greece using machine learning models. Frontiers in Public Health 2023;11 View
  202. Beierle F, Pryss R, Aizawa A. Sentiments about Mental Health on Twitter—Before and during the COVID-19 Pandemic. Healthcare 2023;11(21):2893 View
  203. Luan Y, Sun L, Luo F, Stillwell D. Public emotional responses to crisis: The COVID‐19 pandemic in Wuhan and London. Social and Personality Psychology Compass 2023;17(8) View
  204. Isip Tan I, Cleofas J, Solano G, Pillejera J, Catapang J. Interdisciplinary Approach to Identify and Characterize COVID-19 Misinformation on Twitter: Mixed Methods Study. JMIR Formative Research 2023;7:e41134 View
  205. Drescher L, Roosen J, Aue K, Dressel K, Schär W, Götz A. Emotionalität in der COVID-19-Krisenkommunikation von Behörden und unabhängigen Expert*innen auf Twitter. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2023;66(6):689 View
  206. Weerasinghe S, Oyebode O, Orji R, Matwin S. Dynamics of emotion trends in Canadian Twitter users during COVID-19 confinement in relation to caseloads: Artificial intelligence-based emotion detection approach. DIGITAL HEALTH 2023;9:205520762311714 View
  207. Moitra S, Anderson A, Eathorne A, Brickstock A, Adan A, Akgün M, Tabrizi A, Haldar P, Henderson L, Jindal A, Jindal S, Kerget B, Khadour F, Melenka L, Moitra S, Moitra T, Mukherjee R, Murgia N, Semprini A, Turner A, Lacy P. COVID-19 infodemic and health-related quality of life in patients with chronic respiratory diseases: A multicentre, observational study. Journal of Global Health 2023;13 View
  208. Lu Y. Disease, Scapegoating, and Social Contexts: Examining Social Contexts of the Support for Racist Naming of COVID-19 on Twitter. Journal of Health and Social Behavior 2023 View
  209. Kyröläinen A, Kuperman V. Emotional State of Older Adults During the COVID-19 Pandemic: Insights from the Cognitive and Social Well-Being (CoSoWELL) Corpus. Experimental Aging Research 2023:1 View
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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 [Working Title]. 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