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

Preprints (earlier versions) of this paper are available at, first published .
Tracking Social Media Discourse About the COVID-19 Pandemic: Development of a Public Coronavirus Twitter Data Set

Tracking Social Media Discourse About the COVID-19 Pandemic: Development of a Public Coronavirus Twitter Data Set

Tracking Social Media Discourse About the COVID-19 Pandemic: Development of a Public Coronavirus Twitter Data Set

Authors of this article:

Emily Chen 1 Author Orcid Image ;   Kristina Lerman 1 Author Orcid Image ;   Emilio Ferrara 1 Author Orcid Image


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  134. Riaz F, Mahmood S, Begum T, Ahmad M, Al-Shaikh A, Ahmad A, Shati A, Khan M. Students’ Preferences and Perceptions Regarding Online versus Offline Teaching and Learning Post-COVID-19 Lockdown. Sustainability 2023;15(3):2362 View
  135. Bilal I, Wang B, Tsakalidis A, Nguyen D, Procter R, Liakata M. Template-based Abstractive Microblog Opinion Summarization. Transactions of the Association for Computational Linguistics 2022;10:1229 View
  136. Chang H, Ferrara E. Comparative analysis of social bots and humans during the COVID-19 pandemic. Journal of Computational Social Science 2022;5(2):1409 View
  137. Liu W, Yang A, Shin J, Li Y, Sun J, Qu Y, Zhen L, Min Kim H, Dong C. One Earth, One Humanity Versus the Virus: Examining the Global COVID-19 Social Partnership Communication Networks on Social Media. International Journal of Business Communication 2023;60(2):587 View
  138. Wang H. Public health emergency decision-making and management system sound research using rough set attribute reduction and blockchain. Scientific Reports 2022;12(1) View
  139. Luo K, Yang Y, Teo H. The Asymmetric Influence of Emotion in the Sharing of COVID-19 Science on Social Media: Observational Study. JMIR Infodemiology 2022;2(2):e37331 View
  140. Duan Z, Li J, Lukito J, Yang K, Chen F, Shah D, Yang S. Algorithmic Agents in the Hybrid Media System: Social Bots, Selective Amplification, and Partisan News about COVID-19. Human Communication Research 2022;48(3):516 View
  141. Chen N, Chen X, Pang J. A multilingual dataset of COVID-19 vaccination attitudes on Twitter. Data in Brief 2022;44:108503 View
  142. Surano F, Porfiri M, Rizzo A. Analysis of lockdown perception in the United States during the COVID-19 pandemic. The European Physical Journal Special Topics 2022;231(9):1625 View
  143. Park J, Mistur E, Kim D, Mo Y, Hoefer R. Toward human-centric urban infrastructure: Text mining for social media data to identify the public perception of COVID-19 policy in transportation hubs. Sustainable Cities and Society 2022;76:103524 View
  144. Chaves-Montero A. Twitter, servicios sociales y COVID-19 análisis de las interacciones comunicativas de los mensajes emitidos por parte de los partidos políticos, entidades sociales y la ciudadanía. TECHNO REVIEW. International Technology, Science and Society Review /Revista Internacional de Tecnología, Ciencia y Sociedad 2023;14(1):1 View
  145. Zheng H, Goh D, Lee E, Lee C, Theng Y. Understanding the effects of message cues on COVID ‐19 information sharing on Twitter. Journal of the Association for Information Science and Technology 2022;73(6):847 View
  146. Martin N, Barnett D, Poirier L, Sundermeir S, Reznar M, Gittelsohn J. Moving Food Assistance into the Digital Age: A Scoping Review. International Journal of Environmental Research and Public Health 2022;19(3):1328 View
  147. Lash M, Sajeesh S, Araz O. Predicting mobility using limited data during early stages of a pandemic. Journal of Business Research 2023;157:113413 View
  148. Chen E, Jiang J, Chang H, Muric G, Ferrara E. Charting the Information and Misinformation Landscape to Characterize Misinfodemics on Social Media: COVID-19 Infodemiology Study at a Planetary Scale. JMIR Infodemiology 2022;2(1):e32378 View
  149. Silver N, Kierstead E, Briggs J, Schillo B. Charming e-cigarette users with distorted science: a survey examining social media platform use, nicotine-related misinformation and attitudes towards the tobacco industry. BMJ Open 2022;12(6):e057027 View
  150. Zhang C, Xu S, Li Z, Liu G, Dai D, Dong C. The Evolution and Disparities of Online Attitudes Toward COVID-19 Vaccines: Year-long Longitudinal and Cross-sectional Study. Journal of Medical Internet Research 2022;24(1):e32394 View
  151. Su Z. Rigorous Policy-Making Amid COVID-19 and Beyond: Literature Review and Critical Insights. International Journal of Environmental Research and Public Health 2021;18(23):12447 View
  152. Charbonneau E, Mellouli S, Chouikh A, Couture L, Desroches S. The Information Sharing Behaviors of Dietitians and Twitter Users in the Nutrition and COVID-19 Infodemic: Content Analysis Study of Tweets. JMIR Infodemiology 2022;2(2):e38573 View
  153. Lin B, Zou L, Duffield N, Mostafavi A, Cai H, Zhou B, Tao J, Yang M, Mandal D, Abedin J. Revealing the linguistic and geographical disparities of public awareness to Covid-19 outbreak through social media. International Journal of Digital Earth 2022;15(1):868 View
  154. Erokhin D, Yosipof A, Komendantova N. COVID-19 Conspiracy Theories Discussion on Twitter. Social Media + Society 2022;8(4):205630512211260 View
  155. Lopez C, Gallemore C. An augmented multilingual Twitter dataset for studying the COVID-19 infodemic. Social Network Analysis and Mining 2021;11(1) View
  156. Liu Y, Yin Z, Ni C, Yan C, Wan Z, Malin B. Examining Rural and Urban Sentiment Difference in COVID-19–Related Topics on Twitter: Word Embedding–Based Retrospective Study. Journal of Medical Internet Research 2023;25:e42985 View
  157. Simanjuntak L, Mahendra R, Yulianti E. We Know You Are Living in Bali: Location Prediction of Twitter Users Using BERT Language Model. Big Data and Cognitive Computing 2022;6(3):77 View
  158. Fan L, Yin Z, Yu H, Gilliland A. Using Machine Learning to Enhance Archival Processing of Social Media Archives. Journal on Computing and Cultural Heritage 2022;15(3):1 View
  159. Reiter-Haas M, Klösch B, Hadler M, Lex E. Polarization of Opinions on COVID-19 Measures: Integrating Twitter and Survey Data. Social Science Computer Review 2022:089443932210876 View
  160. Li M, Hua Y, Liao Y, Zhou L, Li X, Wang L, Yang J. Tracking the Impact of COVID-19 and Lockdown Policies on Public Mental Health Using Social Media: Infoveillance Study. Journal of Medical Internet Research 2022;24(10):e39676 View
  161. Ye Q, Ozbay K, Zuo F, Chen X. Impact of Social Media on Travel Behaviors during the COVID-19 Pandemic: Evidence from New York City. Transportation Research Record: Journal of the Transportation Research Board 2021:036119812110338 View
  162. Cruickshank I, Ginossar T, Sulskis J, Zheleva E, Berger-Wolf T. Content and Dynamics of Websites Shared Over Vaccine-Related Tweets in COVID-19 Conversations: Computational Analysis. Journal of Medical Internet Research 2021;23(12):e29127 View
  163. Effrosynidis D, Karasakalidis A, Sylaios G, Arampatzis A. The climate change Twitter dataset. Expert Systems with Applications 2022;204:117541 View
  164. Aslan I, Çınar O. Predictors and prevalence of stress, anxiety, depression, and PTSD among university students during the second wave of the COVID-19 pandemic in Turkey. Frontiers in Psychology 2023;13 View
  165. Peng R, Wang R. Understanding information needs during COVID-19: A comparison study between an online health community and a Q&A platform. Health Informatics Journal 2022;28(4):146045822211424 View
  166. Samoilenko S, Osei-Bryson K. Design of a modular DSS for public health decision-making in the context of a COVID-19 pandemic landscape. Expert Systems with Applications 2022;191:116385 View
  167. Hua Y, Jiang H, Lin S, Yang J, Plasek J, Bates D, Zhou L. Using Twitter data to understand public perceptions of approved versus off-label use for COVID-19-related medications. Journal of the American Medical Informatics Association 2022;29(10):1668 View
  168. Mullo López A, De-Casas-Moreno P, Balseca Mera J. Tratamiento informativo y competencias mediáticas sobre la COVID-19 en Ecuador. Revista de Comunicación 2021;20(1):137 View
  169. Parthasarathi , Kumari G. Religious Tweets During COVID-19: Qualitative Analysis of Articulation of Ideas of Netizens. Media Watch 2022;13(1):104 View
  170. Chen N, Chen X, Zhong Z, Pang J. Exploring Spillover Effects for COVID-19 Cascade Prediction. Entropy 2022;24(2):222 View
  171. Singh Chauhan S, Srinivasan K, Sharma T. A trans-national comparison of stock market movements and related social media chatter during the COVID-19 pandemic. Journal of Business Analytics 2022:1 View
  172. Schlegelmilch B, Sharma K, Garg S. Employing machine learning for capturing COVID-19 consumer sentiments from six countries: a methodological illustration. International Marketing Review 2022 View
  173. Kolluri N, Liu Y, Murthy D. COVID-19 Misinformation Detection: Machine-Learned Solutions to the Infodemic. JMIR Infodemiology 2022;2(2):e38756 View
  174. Chauhan R, Bhagat-Conway M, Capasso da Silva D, Salon D, Shamshiripour A, Rahimi E, Khoeini S, Mohammadian A, Derrible S, Pendyala R. A database of travel-related behaviors and attitudes before, during, and after COVID-19 in the United States. Scientific Data 2021;8(1) View
  175. KARAHAN G, DUYAN V, PAK GÜRE M. BİLGİ KAYNAKLARININ COVID-19 KORKUSUNA ETKİSİ. Turkish Journal of Applied Social Work 2022 View
  176. Singh M. Public sentiment and opinion regarding the CARES Act. Business Economics 2023;58(1):24 View
  177. Sanaullah A, Das A, Das A, Kabir M, Shu K. Applications of machine learning for COVID-19 misinformation: a systematic review. Social Network Analysis and Mining 2022;12(1) View
  178. Fang Z, Dudek J, Costas R. Facing the volatility of tweets in altmetric research. Journal of the Association for Information Science and Technology 2022;73(8):1192 View
  179. Cartier E, Onysko A, Winter-Froemel E, Zenner E, Andersen G, Hilberink-Schulpen B, Nederstigt U, Peterson E, van Meurs F. Linguistic repercussions of COVID-19: A corpus study on four languages. Open Linguistics 2022;8(1):751 View
  180. Vaishali V, Rukmini S. Hashtags in Linguistic Anthropology: A COVID-19 Case Study. Angles 2021;(12) View
  181. Endo P, Santos G, de Lima Xavier M, Nascimento Campos G, de Lima L, Silva I, Egli A, Lynn T. Illusion of Truth: Analysing and Classifying COVID-19 Fake News in Brazilian Portuguese Language. Big Data and Cognitive Computing 2022;6(2):36 View
  182. Tao D, Zhang D, Hu R, Rundensteiner E, Feng H. Crowdsourcing and machine learning approaches for extracting entities indicating potential foodborne outbreaks from social media. Scientific Reports 2021;11(1) View
  183. Kochkina E, Hossain T, Logan R, Arana-Catania M, Procter R, Zubiaga A, Singh S, He Y, Liakata M. Evaluating the generalisability of neural rumour verification models. Information Processing & Management 2023;60(1):103116 View
  184. Kahanek A, Yu X, Hong L, Cleveland A, Philbrick J. Temporal Variations and Spatial Disparities in Public Sentiment Toward COVID-19 and Preventive Practices in the United States: Infodemiology Study of Tweets. JMIR Infodemiology 2021;1(1):e31671 View
  185. Nazarnia M, Zarei F, Rozbahani N. Development and psychometric properties of a tool to assess Media Health Literacy (MeHLit). BMC Public Health 2022;22(1) View
  186. Michailidis P. Visualizing Social Media Research in the Age of COVID-19. Information 2022;13(8):372 View
  187. 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
  188. Bonifazi G, Corradini E, Ursino D, Virgili L. New Approaches to Extract Information From Posts on COVID-19 Published on Reddit. International Journal of Information Technology & Decision Making 2022;21(05):1385 View
  189. Charquero-Ballester M, Walter J, Nissen I, Bechmann A. Different types of COVID-19 misinformation have different emotional valence on Twitter. Big Data & Society 2021;8(2):205395172110412 View
  190. Castilla-Puentes R, Pesa J, Brethenoux C, Furey P, Gil Valletta L, Falcone T. Applying the Health Belief Model to Characterize Racial/Ethnic Differences in Digital Conversations Related to Depression Pre- and Mid-COVID-19: Descriptive Analysis. JMIR Formative Research 2022;6(6):e33637 View
  191. Aggrawal P, Jolly B, Gulati A, Sethi A, Kumaraguru P, Sethi T. Psychometric Analysis and Coupling of Emotions Between State Bulletins and Twitter in India During COVID-19 Infodemic. Frontiers in Communication 2021;6 View
  192. Bisiada M. Discursive structures and power relations in Covid-19 knowledge production. Humanities and Social Sciences Communications 2021;8(1) View
  193. Xi H, Zhang C, Zhao Y, He S. Public Emotional Diffusion over COVID-19 Related Tweets Posted by Major Public Health Agencies in the United States. Data Intelligence 2022;4(1):66 View
  194. Pérez-Curiel C, Domínguez-García R, Velasco-Molpeceres A. Exploring the Political Debate over the COVID-19 Vaccination on Twitter: Emotions and Polarization in the Spanish Public Sphere. Social Sciences 2023;12(2):85 View
  195. Alanazi S. Robust Sentimental Class Prediction Based on Cryptocurrency-Related Tweets Using Tetrad of Feature Selection Techniques in Combination with Filtered Classifier. Applied Sciences 2022;12(12):6070 View
  196. Muñoz-Sastre D, Rodrigo-Martín L, Rodrigo-Martín I. The Role of Twitter in the WHO’s Fight against the Infodemic. International Journal of Environmental Research and Public Health 2021;18(22):11990 View
  197. Chew A, Pan Y, Wang Y, Zhang L. Hybrid deep learning of social media big data for predicting the evolution of COVID-19 transmission. Knowledge-Based Systems 2021;233:107417 View
  198. Comito C. How COVID-19 Information Spread in U.S.? The Role of Twitter as Early Indicator of Epidemics. IEEE Transactions on Services Computing 2022;15(3):1193 View
  199. Patel V, Ramanna S, Kotecha K, Walambe R. Short Text Classification with Tolerance-Based Soft Computing Method. Algorithms 2022;15(8):267 View
  200. Pardeshi S, Gawade S, Hemant P. Student learning time analysis during COVID-19 using linear programming - Simplex method. Social Sciences & Humanities Open 2022;5(1):100266 View
  201. 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
  202. Brunner M, Rietdijk R, Togher L. Training Resources Targeting Social Media Skills to Inform Rehabilitation for People Who Have an Acquired Brain Injury: Scoping Review. Journal of Medical Internet Research 2022;24(4):e35595 View
  203. Baker H, Concannon S, So E, Yeung C. Information sharing practices during the COVID-19 pandemic: A case study about face masks. PLOS ONE 2022;17(5):e0268043 View
  204. Lu Y, Schaefer J, Park K, Joo J, Pan J. How Information Flows from the World to China. The International Journal of Press/Politics 2022:194016122211174 View
  205. Hoque M, Lee K, Beyer J, Curran S, Gonser K, Lam N, Mihunov V, Wang K. Analyzing Tweeting Patterns and Public Engagement on Twitter During the Recognition Period of the COVID-19 Pandemic: A Study of Two U.S. States. IEEE Access 2022;10:72879 View
  206. Obeidat R, Gharaibeh M, Abdullah M, Alharahsheh Y. Multi-label multi-class COVID-19 Arabic Twitter dataset with fine-grained misinformation and situational information annotations. PeerJ Computer Science 2022;8:e1151 View
  207. Ahmed U, Lin J, Srivastava G. Fuzzy Contrast Set Based Deep Attention Network for Lexical Analysis and Mental Health Treatment. ACM Transactions on Asian and Low-Resource Language Information Processing 2022;21(5):1 View
  208. Breslin S, Blok A, Enggaard T, Gårdhus T, Pedersen M. “Affective Publics”. Current Anthropology 2022;63(2):211 View
  209. Weng Z, Lin A. Public Opinion Manipulation on Social Media: Social Network Analysis of Twitter Bots during the COVID-19 Pandemic. International Journal of Environmental Research and Public Health 2022;19(24):16376 View
  210. Mokhberi M, Biswas A, Masud Z, Kteily-Hawa R, Goldstein A, Gillis J, Rayana S, Ahmed S. Development of a COVID-19–Related Anti-Asian Tweet Data Set: Quantitative Study. JMIR Formative Research 2023;7:e40403 View
  211. Jang H, Rempel E, Roe I, Adu P, Carenini G, Janjua N. Tracking Public Attitudes Toward COVID-19 Vaccination on Tweets in Canada: Using Aspect-Based Sentiment Analysis. Journal of Medical Internet Research 2022;24(3):e35016 View
  212. Stemmer M, Parmet Y, Ravid G. Identifying Patients With Inflammatory Bowel Disease on Twitter and Learning From Their Personal Experience: Retrospective Cohort Study. Journal of Medical Internet Research 2022;24(8):e29186 View
  213. Illari L, Restrepo N, Johnson N. Losing the battle over best-science guidance early in a crisis: COVID-19 and beyond. Science Advances 2022;8(39) View
  214. Leidecker-Sandmann M, Attar P, Schütz A, Lehmkuhl M. Selected by expertise? Scientific experts in German news coverage of COVID-19 compared to other pandemics. Public Understanding of Science 2022;31(7):847 View
  215. Ioannidis J. The end of the COVID‐19 pandemic. European Journal of Clinical Investigation 2022;52(6) View
  216. . Editor's introduction. Journal of Communication Inquiry 2022;46(3):235 View
  217. Yoo M, Jang C. Physical rehabilitation on social media during COVID-19: Topics and sentiments analysis of tweets. Annals of Physical and Rehabilitation Medicine 2022;65(1):101589 View
  218. Song Z, Dong S, Kaifa Z. Network Sentiment Analysis of College Students in Different Epidemic Stages Based on Text Clustering. Journal of Environmental and Public Health 2022;2022:1 View
  219. Wang Y, Gao S, Gao W. Investigating dynamic relations between factual information and misinformation: Empirical studies of tweets related to prevention measures during COVID‐19. Journal of Contingencies and Crisis Management 2022;30(4):427 View
  220. Huang X, Wang S, Zhang M, Hu T, Hohl A, She B, Gong X, Li J, Liu X, Gruebner O, Liu R, Li X, Liu Z, Ye X, Li Z. Social media mining under the COVID-19 context: Progress, challenges, and opportunities. International Journal of Applied Earth Observation and Geoinformation 2022;113:102967 View
  221. Miao L, Last M, Litvak M. Tracking social media during the COVID-19 pandemic: The case study of lockdown in New York State. Expert Systems with Applications 2022;187:115797 View
  222. Tan E, Wee R, Saw Y, Heng K, Chin J, Tong E, Liu J. Tracking Private WhatsApp Discourse About COVID-19 in Singapore: Longitudinal Infodemiology Study. Journal of Medical Internet Research 2021;23(12):e34218 View
  223. Yin F, Crooks A, Yin L. Information propagation on cyber, relational and physical spaces about covid-19 vaccine: Using social media and splatial framework. Computers, Environment and Urban Systems 2022;98:101887 View
  224. Ahmed U, Lin J, Srivastava G. Hyper-Graph Attention Based Federated Learning Methods for Use in Mental Health Detection. IEEE Journal of Biomedical and Health Informatics 2023;27(2):768 View
  225. Ahmed U, Lin J, Srivastava G. Hyper-graph-based attention curriculum learning using a lexical algorithm for mental health. Pattern Recognition Letters 2022;157:135 View
  226. Zhen L, Yan B, Tang J, Nan Y, Yang A. Social network dynamics, bots, and community-based online misinformation spread: Lessons from anti-refugee and COVID-19 misinformation cases. The Information Society 2023;39(1):17 View
  227. Yao X. Face masks, materiality and exclusion in the COVID-19 semiotic landscape. Social Semiotics 2021:1 View
  228. Iheanetu C, Maguire K, Moricová V, Tandlich R, Alloggio S. Utilitarian Qubit, Human Geography, and Pandemic Preparedness in the 21st Century. Sustainability 2022;15(1):321 View
  229. Ju I, Rho E, Hinsley A. Poly Social Media Use: Roles of Informational Norms and Emotion Regulation. Journal of Health Communication 2022;27(11-12):812 View
  230. Myneni S, Cuccaro P, Montgomery S, Pakanati V, Tang J, Singh T, Dominguez O, Cohen T, Reininger B, Savas L, Fernandez M. Lessons Learned From Interdisciplinary Efforts to Combat COVID-19 Misinformation: Development of Agile Integrative Methods From Behavioral Science, Data Science, and Implementation Science. JMIR Infodemiology 2023;3:e40156 View
  231. Ahmed U, Lin J, Srivastava G. Deep Hierarchical Attention Active Learning for Mental Disorder Unlabeled Data in AIoMT. ACM Transactions on Sensor Networks 2023;19(3):1 View
  232. Ismail H, Serhani M, Hussien N, Elabyad R, Navaz A. Public wellbeing analytics framework using social media chatter data. Social Network Analysis and Mining 2022;12(1) View
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Books/Policy Documents

  1. Zheng H, Goh D, Lee E, Lee C, Theng Y. Digital Libraries at Times of Massive Societal Transition. View
  2. Shah C, Sebastian M. Re-imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation. View
  3. Inuwa-Dutse I. Data Science Advancements in Pandemic and Outbreak Management. View
  4. Kydros D, Argyropoulou M, Vrana V. Strategic Innovative Marketing and Tourism in the COVID-19 Era. View
  5. Wright K. Communicating Science in Times of Crisis. View
  6. Li B, Chen Z, Lim S. Geographical Information Systems Theory, Applications and Management. View
  7. Uddin M, Shorif S, Sarker A. Vision, Sensing and Analytics: Integrative Approaches. View
  8. Alexiou E, Antonakakis A, Jevtic N, Sideras G, Farmaki E, Foutsitzi S, Kermanidis K. Artificial Intelligence Applications and Innovations. AIAI 2021 IFIP WG 12.5 International Workshops. View
  9. Tan H, Lee C, Goh D, Zheng H, Theng Y. HCI International 2021 - Posters. View
  10. Alvarez-Risco A, Del-Aguila-Arcentales S. Crowdfunding in the Public Sector. View
  11. Pranesh R, Farokhnejad M, Shekhar A, Vargas-Solar G. New Trends in Database and Information Systems. View
  12. Bondi M, Sanna L. Conspiracy Theory Discourses. View
  13. Wright C, Knopp M, Knopp M. Molecular Imaging. View
  14. Umar P, Akiti C, Squicciarini A, Rajtmajer S. Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track. View
  15. Patel V, Ramanna S. Rough Sets. View
  16. Akhlaq M, Jalil A, Hussain A, Siddiqua A, Imran M. Modeling, Control and Drug Development for COVID-19 Outbreak Prevention. View
  17. Titian A, Rahmawati D, Rasyid H. Proceedings of the International Conference on Sustainable Innovation on Humanities, Education, and Social Sciences (ICOSI-HESS 2022). View
  18. Indumathi N, Shanmuga Eswari M, Salau A, Ramalakshmi R, Revathy R. Intelligent Interactive Multimedia Systems for e-Healthcare Applications. View
  19. Zea Jiménez L. Digital and Sustainable Transformations in a Post-COVID World. View
  20. Ahmed U, Lin J, Srivastava G. Advances in Knowledge Discovery and Data Mining. View
  21. . Digital Humanism. View
  22. Jiang K, Zhu M, Bernard G. Machine Learning and Principles and Practice of Knowledge Discovery in Databases. View
  23. Liu Z, Shabani S, Yu X, Sokhn M, Glassey Balet N. Human Centred Intelligent Systems. View
  24. Inuwa-Dutse I. Research Anthology on Managing Crisis and Risk Communications. View
  25. Vogler D, Meissner F. The Handbook of Crisis Communication. View
  26. Ramachandran M, Kalyanaraman H, Jayachandran P, Kumar A, Subramanian M. How COVID-19 is Accelerating the Digital Revolution. View
  27. Akhlaq M, Babar Z, Ajaz M, Khan M, Kilinc E, Adeel M, Badar M, Nawaz A, Jalil A. Modeling, Control and Drug Development for COVID-19 Outbreak Prevention. View
  28. Uniyal D, Agarwal A. Machine Learning and Principles and Practice of Knowledge Discovery in Databases. View
  29. Preethi S, Senthilkumar R. Computational Intelligence in Data Mining. View
  30. Köse A. Advancement, Opportunities, and Practices in Telehealth Technology. View
  31. Chen N, Chen X, Zhong Z, Pang J. Machine Learning and Knowledge Discovery in Databases. View