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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19273, 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 Chen1 Author Orcid Image ;   Kristina Lerman1 Author Orcid Image ;   Emilio Ferrara1 Author Orcid Image

Journals

  1. Abrams E, Greenhawt M. Mitigating Misinformation and Changing the Social Narrative. The Journal of Allergy and Clinical Immunology: In Practice 2020;8(10):3261 View
  2. Jiang J, Chen E, Yan S, Lerman K, Ferrara E. Political polarization drives online conversations about COVID ‐19 in the United States. Human Behavior and Emerging Technologies 2020;2(3):200 View
  3. Papakyriakopoulos O, Medina Serrano J, Hegelich S. The spread of COVID-19 conspiracy theories on social me-dia and the effect of content moderation. Harvard Kennedy School Misinformation Review 2020 View
  4. Stella M, Restocchi V, De Deyne S. #lockdown: Network-Enhanced Emotional Profiling in the Time of COVID-19. Big Data and Cognitive Computing 2020;4(2):14 View
  5. Brown S, Rhee J, Guha A, Rao V. Innovation in Precision Cardio-Oncology During the Coronavirus Pandemic and Into a Post-pandemic World. Frontiers in Cardiovascular Medicine 2020;7 View
  6. Campos-Castillo C, Laestadius L. Racial and Ethnic Digital Divides in Posting COVID-19 Content on Social Media Among US Adults: Secondary Survey Analysis. Journal of Medical Internet Research 2020;22(7):e20472 View
  7. Jang H, Rempel E, Roth D, Carenini G, Janjua N. Tracking COVID-19 Discourse on Twitter in North America: Infodemiology Study Using Topic Modeling and Aspect-Based Sentiment Analysis. Journal of Medical Internet Research 2021;23(2):e25431 View
  8. Leis A, Ronzano F, Mayer M, Furlong L, Sanz F. Evaluating Behavioral and Linguistic Changes During Drug Treatment for Depression Using Tweets in Spanish: Pairwise Comparison Study. Journal of Medical Internet Research 2020;22(12):e20920 View
  9. Boon-Itt S, Skunkan Y. Public Perception of the COVID-19 Pandemic on Twitter: Sentiment Analysis and Topic Modeling Study. JMIR Public Health and Surveillance 2020;6(4):e21978 View
  10. Zhao Y, Xi H, Zhang C. Exploring Occupation Differences in Reactions to COVID-19 Pandemic on Twitter. Data and Information Management 2021;5(1):110 View
  11. Mutlu E, Oghaz T, Jasser J, Tutunculer E, Rajabi A, Tayebi A, Ozmen O, Garibay I. A stance data set on polarized conversations on Twitter about the efficacy of hydroxychloroquine as a treatment for COVID-19. Data in Brief 2020;33:106401 View
  12. Blázquez-Ochando M, Prieto-Gutiérrez J. Virus de ácido ribonucleico (ARN) y coronavirus en Google Dataset Search: alcance y correlación epidemiológica. El profesional de la información 2020 View
  13. Alnajashi H, Jabbad R, Lavorgna L. Behavioral practices of patients with multiple sclerosis during Covid-19 pandemic. PLOS ONE 2020;15(10):e0241103 View
  14. Battiston P, Kashyap R, Rotondi V. Reliance on scientists and experts during an epidemic: Evidence from the COVID-19 outbreak in Italy. SSM - Population Health 2021;13:100721 View
  15. Zheng H, Goh D, Lee C, Lee E, Theng Y. Uncovering temporal differences in COVID‐19 tweets. Proceedings of the Association for Information Science and Technology 2020;57(1) View
  16. Ladeiras-Lopes R, Baciu L, Grapsa J, Sohaib A, Vidal-Perez R, Bohm A, Silvola H, Gimenez M, Muscoli S, Wallner M, Rakisheva A, Nagy V, Cowie M, Clarke S, Achenbach S. Social media in cardiovascular medicine: a contemporary review. European Heart Journal - Digital Health 2020;1(1):10 View
  17. Mourad A, Srour A, Harmanani H, Jenainati C, Arafeh M. Critical Impact of Social Networks Infodemic on Defeating Coronavirus COVID-19 Pandemic: Twitter-Based Study and Research Directions. IEEE Transactions on Network and Service Management 2020;17(4):2145 View
  18. Bracci A, Nadini M, Aliapoulios M, McCoy D, Gray I, Teytelboym A, Gallo A, Baronchelli A. Dark Web Marketplaces and COVID-19: before the vaccine. EPJ Data Science 2021;10(1) View
  19. Chandrasekaran R, Mehta V, Valkunde T, Moustakas E. Topics, Trends, and Sentiments of Tweets About the COVID-19 Pandemic: Temporal Infoveillance Study. Journal of Medical Internet Research 2020;22(10):e22624 View
  20. Bracci A, Nadini M, Aliapoulios M, McCoy D, Gray I, Teytelboym A, Gallo A, Baronchelli A. The COVID-19 Online Shadow Economy. SSRN Electronic Journal 2020 View
  21. Dalili Shoaei M, Dastani M. The Role of Twitter During the COVID-19 Crisis: A Systematic Literature Review. Acta Informatica Pragensia 2020;9(2):154 View
  22. Lamsal R. Design and analysis of a large-scale COVID-19 tweets dataset. Applied Intelligence 2020 View
  23. Shen T, Chen A, Bovonratwet P, Shen C, Su E. COVID-19–Related Internet Search Patterns Among People in the United States: Exploratory Analysis. Journal of Medical Internet Research 2020;22(11):e22407 View
  24. Kaur S, Kaul P, Zadeh P. Monitoring the Dynamics of Emotions during COVID-19 Using Twitter Data. Procedia Computer Science 2020;177:423 View
  25. Ho H, Chen Y, Yen C. Different impacts of COVID-19-related information sources on public worry: An online survey through social media. Internet Interventions 2020;22:100350 View
  26. Gencoglu O. Large-Scale, Language-Agnostic Discourse Classification of Tweets During COVID-19. Machine Learning and Knowledge Extraction 2020;2(4):603 View
  27. Ferrara E, Cresci S, Luceri L. Misinformation, manipulation, and abuse on social media in the era of COVID-19. Journal of Computational Social Science 2020;3(2):271 View
  28. Petersen K, Gerken J. #Covid-19: An exploratory investigation of hashtag usage on Twitter. Health Policy 2021;125(4):541 View
  29. Chang C, Monselise M, Yang C. What Are People Concerned About During the Pandemic? Detecting Evolving Topics about COVID-19 from Twitter. Journal of Healthcare Informatics Research 2021;5(1):70 View
  30. Xue J, Chen J, Hu R, Chen C, Zheng C, Su Y, Zhu T. Twitter Discussions and Emotions About the COVID-19 Pandemic: Machine Learning Approach. Journal of Medical Internet Research 2020;22(11):e20550 View
  31. Tan T, Huang T, Wang X, Zuo Z. A preliminary investigation of COVID‐19 transmission in the United States by incorporating social media sentiments. Proceedings of the Association for Information Science and Technology 2020;57(1) View
  32. Nikolovska M, Johnson S, Ekblom P. “Show this thread”: policing, disruption and mobilisation through Twitter. An analysis of UK law enforcement tweeting practices during the Covid-19 pandemic. Crime Science 2020;9(1) View
  33. Kearney M, Chiang S, Massey P. The Twitter origins and evolution of the COVID-19 “plandemic” conspiracy theory. Harvard Kennedy School Misinformation Review 2020 View
  34. Alshaabi T, Arnold M, Minot J, Adams J, Dewhurst D, Reagan A, Muhamad R, Danforth C, Dodds P, Rocha L. How the world’s collective attention is being paid to a pandemic: COVID-19 related n-gram time series for 24 languages on Twitter. PLOS ONE 2021;16(1):e0244476 View
  35. NUDI R, CAMPAGNA M, PARMA A, NUDI A, BIONDI ZOCCAI G. Breakthrough healthcare technologies in the COVID-19 era: a unique opportunity for cardiovascular practitioners and patients. Panminerva Medica 2021;63(1) View
  36. Al-Ramahi M, Elnoshokaty A, El-Gayar O, Nasralah T, Wahbeh A. Public Discourse Against Masks in the COVID-19 Era: Infodemiology Study of Twitter Data. JMIR Public Health and Surveillance 2021;7(4):e26780 View
  37. Cotfas L, Delcea C, Roxin I, Ioanas C, Gherai D, Tajariol F. The Longest Month: Analyzing COVID-19 Vaccination Opinions Dynamics From Tweets in the Month Following the First Vaccine Announcement. IEEE Access 2021;9:33203 View
  38. Chen E, Chang H, Rao A, Lerman K, Cowan G, Ferrara E. COVID-19 misinformation and the 2020 U.S. presidential election. Harvard Kennedy School Misinformation Review 2021 View
  39. Kim H, Saffer A, Liu W, Sun J, Li Y, Zhen L, Yang A. How Public Health Agencies Break through COVID-19 Conversations: A Strategic Network Approach to Public Engagement. Health Communication 2022;37(10):1276 View
  40. Chen N, Zhang Y, Du W, Li Y, Chen M, Zheng X. KE-CNN: A new social sensing method for extracting geographical attributes from text semantic features and its application in Wuhan, China. Computers, Environment and Urban Systems 2021;88:101629 View
  41. Gerts D, Shelley C, Parikh N, Pitts T, Watson Ross C, Fairchild G, Vaquera Chavez N, Daughton A. “Thought I’d Share First” and Other Conspiracy Theory Tweets from the COVID-19 Infodemic: Exploratory Study. JMIR Public Health and Surveillance 2021;7(4):e26527 View
  42. Lash M, Sajeesh S, Araz O. Predicting Retail Mobility during the COVID-19 Pandemic. SSRN Electronic Journal 2021 View
  43. Pulido-Polo M, Hernández-Santaolalla V, Lozano-González A. Uso institucional de Twitter para combatir la infodemia causada por la crisis sanitaria de la Covid-19. El profesional de la información 2021 View
  44. Zhou Q, Zhang C. Breaking community boundary: Comparing academic and social communication preferences regarding global pandemics. Journal of Informetrics 2021;15(3):101162 View
  45. Shah A, Yan X, Qayyum A, Naqvi R, Shah S. Mining topic and sentiment dynamics in physician rating websites during the early wave of the COVID-19 pandemic: Machine learning approach. International Journal of Medical Informatics 2021;149:104434 View
  46. Liu P. COVID-19 information on social media and preventive behaviors: Managing the pandemic through personal responsibility. Social Science & Medicine 2021;277:113928 View
  47. Chen H, Zhu Z, Qi F, Ye Y, Liu Z, Sun M, Jin J. Country Image in COVID-19 Pandemic: A Case Study of China. IEEE Transactions on Big Data 2021;7(1):81 View
  48. Park S, Han S, Kim J, Molaie M, Vu H, Singh K, Han J, Lee W, Cha M. COVID-19 Discourse on Twitter in Four Asian Countries: Case Study of Risk Communication. Journal of Medical Internet Research 2021;23(3):e23272 View
  49. Song X, Petrak J, Jiang Y, Singh I, Maynard D, Bontcheva K, Martinčić-Ipšić S. Classification aware neural topic model for COVID-19 disinformation categorisation. PLOS ONE 2021;16(2):e0247086 View
  50. Ahmed U, Mukhiya S, Srivastava G, Lamo Y, Lin J. Attention-Based Deep Entropy Active Learning Using Lexical Algorithm for Mental Health Treatment. Frontiers in Psychology 2021;12 View
  51. Torres A, Kelley C, Kelley S, Piña G, Garcia-Baza I, Griffith I. An Analysis of Digital Media Data to Understand Parents’ Concerns During the COVID-19 Pandemic to Enhance Effective Science Communication. Journal of Creative Communications 2021;16(2):168 View
  52. Li Z, Wang X. Research on Sentiment Analysis Model Due to COVID-19 Using Social Media. Journal of Physics: Conference Series 2021;1856(1):012064 View
  53. Chaves-Montero A, Relinque-Medina F, Fernández-Borrero M, Vázquez-Aguado O. Twitter, Social Services and Covid-19: Analysis of Interactions between Political Parties and Citizens. Sustainability 2021;13(4):2187 View
  54. Rao A, Morstatter F, Hu M, Chen E, Burghardt K, Ferrara E, Lerman K. Political Partisanship and Antiscience Attitudes in Online Discussions About COVID-19: Twitter Content Analysis. Journal of Medical Internet Research 2021;23(6):e26692 View
  55. Rivieccio B, Micheletti A, Maffeo M, Zignani M, Comunian A, Nicolussi F, Salini S, Manzi G, Auxilia F, Giudici M, Naldi G, Gaito S, Castaldi S, Biganzoli E, Guidi B. CoViD-19, learning from the past: A wavelet and cross-correlation analysis of the epidemic dynamics looking to emergency calls and Twitter trends in Italian Lombardy region. PLOS ONE 2021;16(2):e0247854 View
  56. Probierz E, Galuszka A, Dzida T. Twitter Text Data from #Covid-19: Analysis of Changes in Time Using Exploratory Sentiment Analysis. Journal of Physics: Conference Series 2021;1828(1):012138 View
  57. Reuter K, Deodhar A, Makri S, Zimmer M, Berenbaum F, Nikiphorou E. The impact of the COVID-19 pandemic on people with rheumatic and musculoskeletal diseases: insights from patient-generated data on social media. Rheumatology 2021;60(SI):SI77 View
  58. Padilha R, Theóphilo A, Andaló F, Vega-Oliveros D, Cardenuto J, Bertocco G, Nascimento J, Yang J, Rocha A. A Inteligência Artificial e os desafios da Ciência Forense Digital no século XXI. Estudos Avançados 2021;35(101):113 View
  59. Martínez Beltrán E, Quiles Pérez M, Pastor-Galindo J, Nespoli P, García Clemente F, Gómez Mármol F. COnVIDa: COVID-19 multidisciplinary data collection and dashboard. Journal of Biomedical Informatics 2021;117:103760 View
  60. Roy S, Ghosh P. A Comparative Study on Distancing, Mask and Vaccine Adoption Rates from Global Twitter Trends. Healthcare 2021;9(5):488 View
  61. González L, Devís-Devís J, Pellicer-Chenoll M, Pans M, Pardo-Ibañez A, García-Massó X, Peset F, Garzón-Farinós F, Pérez-Samaniego V. The Impact of COVID-19 on Sport in Twitter: A Quantitative and Qualitative Content Analysis. International Journal of Environmental Research and Public Health 2021;18(9):4554 View
  62. Zdonek D, Król K. The Impact of Sex and Personality Traits on Social Media Use during the COVID-19 Pandemic in Poland. Sustainability 2021;13(9):4793 View
  63. Li Y, Shin J, Sun J, Kim H, Qu Y, Yang A. Organizational sensemaking in tough times: The ecology of NGOs’ COVID-19 issue discourse communities on social media. Computers in Human Behavior 2021;122:106838 View
  64. Andreadis S, Antzoulatos G, Mavropoulos T, Giannakeris P, Tzionis G, Pantelidis N, Ioannidis K, Karakostas A, Gialampoukidis I, Vrochidis S, Kompatsiaris I. A social media analytics platform visualising the spread of COVID-19 in Italy via exploitation of automatically geotagged tweets. Online Social Networks and Media 2021;23:100134 View
  65. Cheng Y, Zhang J, Wei W, Zhao B. Effects of urban parks on residents’ expressed happiness before and during the COVID-19 pandemic. Landscape and Urban Planning 2021;212:104118 View
  66. Feinberg I, Owen-Smith A, O'Connor M, Ogrodnick M, Rothenberg R, Eriksen M. Strengthening Culturally Competent Health Communication. Health Security 2021;19(S1):S-41 View
  67. La Bella E, Allen C, Lirussi F. Communication vs evidence: What hinders the outreach of science during an infodemic? A narrative review. Integrative Medicine Research 2021;10(4):100731 View
  68. Grande D, Mitra N, Marti X, Merchant R, Asch D, Dolan A, Sharma M, Cannuscio C. Consumer Views on Using Digital Data for COVID-19 Control in the United States. JAMA Network Open 2021;4(5):e2110918 View
  69. Selman L, Chamberlain C, Sowden R, Chao D, Selman D, Taubert M, Braude P. Sadness, despair and anger when a patient dies alone from COVID-19: A thematic content analysis of Twitter data from bereaved family members and friends. Palliative Medicine 2021;35(7):1267 View
  70. Daughton A, Shelley C, Barnard M, Gerts D, Watson Ross C, Crooker I, Nadiga G, Mukundan N, Vaquera Chavez N, Parikh N, Pitts T, Fairchild G. Mining and Validating Social Media Data for COVID-19–Related Human Behaviors Between January and July 2020: Infodemiology Study. Journal of Medical Internet Research 2021;23(5):e27059 View
  71. Cheng M, Wang S, Yan X, Yang T, Wang W, Huang Z, Xiao X, Nazarian S, Bogdan P. A COVID-19 Rumor Dataset. Frontiers in Psychology 2021;12 View
  72. Kydros D, Argyropoulou M, Vrana V. A Content and Sentiment Analysis of Greek Tweets during the Pandemic. Sustainability 2021;13(11):6150 View
  73. Choli M, Kuss D. Perceptions of blame on social media during the coronavirus pandemic. Computers in Human Behavior 2021;124:106895 View
  74. Pollack C, Gilbert-Diamond D, Alford-Teaster J, Onega T. A Longitudinal Evaluation of the Language and Sentiment About Telemedicine and COVID-19 on Twitter: Infodemiology Study (Preprint). Journal of Medical Internet Research 2021 View
  75. Ilyas H, Anwar A, Yaqub U, Alzamil Z, Appelbaum D. Analysis and visualization of COVID-19 discourse on Twitter using data science: a case study of the USA, the UK and India. Global Knowledge, Memory and Communication 2022;71(3):140 View
  76. Bowden-Green T, Hinds J, Joinson A. Personality and Motives for Social Media Use When Physically Distanced: A Uses and Gratifications Approach. Frontiers in Psychology 2021;12 View
  77. Melotte S, Kejriwal M. A Geo-Tagged COVID-19 Twitter Dataset for 10 North American Metropolitan Areas over a 255-Day Period. Data 2021;6(6):64 View
  78. Balasubramaniam T, Nayak R, Luong K, Bashar M. Identifying Covid-19 misinformation tweets and learning their spatio-temporal topic dynamics using Nonnegative Coupled Matrix Tensor Factorization. Social Network Analysis and Mining 2021;11(1) View
  79. Amit A, Pepito V, Gutierrez B, Rawson T. Data Sharing in Southeast Asia During the First Wave of the COVID-19 Pandemic. Frontiers in Public Health 2021;9 View
  80. Flasiński K. Media Narrative Regarding Restrictions on Social Life During the COVID-19 Pandemic on Gazeta.pl. Zeszyty Prasoznawcze 2021;64(2 (246)):101 View
  81. Yang C, Zhou X, Zafarani R. CHECKED: Chinese COVID-19 fake news dataset. Social Network Analysis and Mining 2021;11(1) View
  82. Gallagher R, Doroshenko L, Shugars S, Lazer D, Foucault Welles B. Sustained Online Amplification of COVID-19 Elites in the United States. Social Media + Society 2021;7(2):205630512110249 View
  83. Singh G, Rego J, Chambers S, Fox J. Health Professionals’ Perspectives of the Role of Palliative Care During COVID-19: Content Analysis of Articles and Blogs Posted on Twitter. American Journal of Hospice and Palliative Medicine® 2022;39(4):487 View
  84. Dogan O, Tiwari S, Jabbar M, Guggari S. A systematic review on AI/ML approaches against COVID-19 outbreak. Complex & Intelligent Systems 2021;7(5):2655 View
  85. Caldarelli G, De Nicola R, Petrocchi M, Pratelli M, Saracco F. Flow of online misinformation during the peak of the COVID-19 pandemic in Italy. EPJ Data Science 2021;10(1) View
  86. Kwan J, Henry M, Christophers B, Tamirisa K, Thamman R, Sadler D, Aggarwal N, Cheng R, Parwani P, Dent S, Ismail-Khan R, Fradley M, Brown S. The Role and Impact of Social Media in Cardio-oncology During the COVID-19 Pandemic. Current Oncology Reports 2021;23(8) View
  87. Bathina K, ten Thij M, Valdez D, Rutter L, Bollen J, Osório F. Declining well-being during the COVID-19 pandemic reveals US social inequities. PLOS ONE 2021;16(7):e0254114 View
  88. Wahid J, Shi L, Gao Y, Yang B, Tao Y, Wei L, Hussain S. Identifying and Characterizing the Propagation Scale of COVID-19 Situational Information on Twitter: A Hybrid Text Analytic Approach. Applied Sciences 2021;11(14):6526 View
  89. Marzouki A, Chouikh A, Mellouli S, Haddad R. From Sustainable Development Goals to Sustainable Cities: A Social Media Analysis for Policy-Making Decision. Sustainability 2021;13(15):8136 View
  90. Aiello L, Quercia D, Zhou K, Constantinides M, Šćepanović S, Joglekar S. How epidemic psychology works on Twitter: evolution of responses to the COVID-19 pandemic in the U.S.. Humanities and Social Sciences Communications 2021;8(1) View
  91. Swetland S, Rothrock A, Andris H, Davis B, Nguyen L, Davis P, Rothrock S. Accuracy of health‐related information regarding COVID‐19 on Twitter during a global pandemic. World Medical & Health Policy 2021;13(3):503 View
  92. Melek M. Diagnosis of COVID-19 and non-COVID-19 patients by classifying only a single cough sound. Neural Computing and Applications 2021;33(24):17621 View
  93. Osakwe Z, Cortés Y. Impact of COVID-19: A Text Mining Analysis of Twitter Data in Spanish Language. Hispanic Health Care International 2021;19(4):239 View
  94. Harakawa R, Iwahashi M. Ranking of Importance Measures of Tweet Communities: Application to Keyword Extraction From COVID-19 Tweets in Japan. IEEE Transactions on Computational Social Systems 2021;8(4):1030 View
  95. Jiang J, Ren X, Ferrara E. Social Media Polarization and Echo Chambers in the Context of COVID-19: Case Study. JMIRx Med 2021;2(3):e29570 View
  96. Lee C, Goh D, Tan H, Zheng H, Theng Y. Understanding the Temporal Effects on Tweetcussion of COVID‐19 Vaccine. Proceedings of the Association for Information Science and Technology 2021;58(1):768 View
  97. Zhu R, Hu X. The public needs more: The informational and emotional support of public communication amidst the Covid-19 in China. International Journal of Disaster Risk Reduction 2023;84:103469 View
  98. da Mota Silveira Neto P, Mannan U, de Almeida E, Nagappan N, Lo D, Singh Kochhar P, Gao C, Ahmed I. A Deep Dive into the Impact of COVID-19 on Software Development. IEEE Transactions on Software Engineering 2022;48(9):3342 View
  99. Fan L, Yu H, Gilliland A. #StopAsianHate: Archiving and Analyzing Twitter Discourse in the Wake of the 2021 Atlanta Spa Shootings. Proceedings of the Association for Information Science and Technology 2021;58(1):440 View
  100. Agusto F, Numfor E, Srinivasan K, Iboi E, Fulk A, Saint Onge J, Peterson A. Impact of public sentiments on the transmission of COVID-19 across a geographical gradient. PeerJ 2023;11:e14736 View
  101. Ahmed U, Lin J, Srivastava G. Graph Attention Network for Text Classification and Detection of Mental Disorder. ACM Transactions on the Web 2023;17(3):1 View
  102. 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
  103. Selerio E, Caladcad J, Catamco M, Capinpin E, Ocampo L. Emergency preparedness during the COVID-19 pandemic: Modelling the roles of social media with fuzzy DEMATEL and analytic network process. Socio-Economic Planning Sciences 2022;82:101217 View
  104. Ginossar T, Cruickshank I, Zheleva E, Sulskis J, Berger-Wolf T. Cross-platform spread: vaccine-related content, sources, and conspiracy theories in YouTube videos shared in early Twitter COVID-19 conversations. Human Vaccines & Immunotherapeutics 2022;18(1):1 View
  105. Yeasmin N, Mahbub N, Baowaly M, Singh B, Alom Z, Aung Z, Azim M. Analysis and Prediction of User Sentiment on COVID-19 Pandemic Using Tweets. Big Data and Cognitive Computing 2022;6(2):65 View
  106. Botz J, Wang D, Lambert N, Wagner N, Génin M, Thommes E, Madan S, Coudeville L, Fröhlich H. Modeling approaches for early warning and monitoring of pandemic situations as well as decision support. Frontiers in Public Health 2022;10 View
  107. Hadler M, Klösch B, Reiter-Haas M, Lex E. Combining Survey and Social Media Data: Respondents' Opinions on COVID-19 Measures and Their Willingness to Provide Their Social Media Account Information. Frontiers in Sociology 2022;7 View
  108. Hoheisel R, van Capelleveen G, Sarmah D, Junger M. The development of phishing during the COVID-19 pandemic: An analysis of over 1100 targeted domains. Computers & Security 2023;128:103158 View
  109. Jiang F, Hyland K. COVID‐19 in the news: The first 12 months. International Journal of Applied Linguistics 2022;32(2):241 View
  110. Rao A, Morstatter F, Lerman K. Partisan asymmetries in exposure to misinformation. Scientific Reports 2022;12(1) View
  111. Šćepanović S, Aiello L, Barrett D, Quercia D. Epidemic dreams: dreaming about health during the COVID-19 pandemic. Royal Society Open Science 2022;9(1) View
  112. Arévalo-Martínez R, Del Prado Flores R, Góngora Cuevas G. Comunicación presidencial sobre la COVID-19 vía Twitter: México, España y Estados Unidos. Global Media Journal México 2022;18(35):151 View
  113. Javed R, Usama M, Iqbal W, Qadir J, Tyson G, Castro I, Garimella K. A deep dive into COVID-19-related messages on WhatsApp in Pakistan. Social Network Analysis and Mining 2022;12(1) View
  114. Sharevski F, Huff A, Jachim P, Pieroni E. (Mis)perceptions and engagement on Twitter: COVID-19 vaccine rumors on efficacy and mass immunization effort. International Journal of Information Management Data Insights 2022;2(1):100059 View
  115. Wu J, Wang L, Hua Y, Li M, Zhou L, Bates D, Yang J. Trend and Co-occurrence Network of COVID-19 Symptoms From Large-Scale Social Media Data: Infoveillance Study. Journal of Medical Internet Research 2023;25:e45419 View
  116. Cheng C, Zhang W, Zhang Q. Authority-led conspiracy theories in China during the COVID-19 pandemic – Exploring the thematic features and rhetoric strategies. Convergence: The International Journal of Research into New Media Technologies 2022;28(4):1172 View
  117. Malarvizhi A, Liu Q, Sha D, Lan H, Yang C. An Open-Source Workflow for Spatiotemporal Studies with COVID-19 as an Example. ISPRS International Journal of Geo-Information 2021;11(1):13 View
  118. Saniei R, Rodríguez Doncel V. PHDD: Corpus of Physical Health Data Disclosure on Twitter During COVID-19 Pandemic. SN Computer Science 2022;3(3) View
  119. Ghasemyani S, Khodayari-Zarnaq R. COVID-19 Pandemic Tweets by Iranian Political Elites: A Content Analysis Study. Depiction of Health 2021;12(4):298 View
  120. Johansen N, Marjanovic S, Kjaer C, Baglini R, Adler-Nissen R. Ridiculing the “tinfoil hats:” Citizen responses to COVID-19 misinformation in the Danish facemask debate on Twitter. Harvard Kennedy School Misinformation Review 2022 View
  121. Radic A, Koo B, Kim J, Ariza-Montes A, Vega-Muñoz A, Han H. The Effects of Media Encouragements on Coronavirus Vaccination Decision and Public Interest in Traveling Abroad. Information 2022;13(3):157 View
  122. Osborne M, Malloy S, Nisbet E, Bond R, Tien J. Sentinel node approach to monitoring online COVID-19 misinformation. Scientific Reports 2022;12(1) View
  123. Ke S, Neeley-Tass E, Barnes M, Hanson C, Giraud-Carrier C, Snell Q. COVID-19 Health Beliefs Regarding Mask Wearing and Vaccinations on Twitter: Deep Learning Approach. JMIR Infodemiology 2022;2(2):e37861 View
  124. Abdukhamidov E, Juraev F, Abuhamad M, El-Sappagh S, AbuHmed T. Sentiment Analysis of Users’ Reactions on Social Media during the Pandemic. Electronics 2022;11(10):1648 View
  125. Bahja M, Safdar G. Unlink the Link Between COVID-19 and 5G Networks: An NLP and SNA Based Approach. IEEE Access 2020;8:209127 View
  126. Mahdikhani M. Predicting the popularity of tweets by analyzing public opinion and emotions in different stages of Covid-19 pandemic. International Journal of Information Management Data Insights 2022;2(1):100053 View
  127. Duan H, Huang Z, Jiang J, Ming X, Zhang D, Wang S. Coronavirus: The Not‐So‐Trivial Loss of Well‐Being. Earth's Future 2021;9(9) View
  128. Bali A, Halbusi H, Ahmad A, Lee K, Lavorgna L. Public engagement in government officials’ posts on social media during coronavirus lockdown. PLOS ONE 2023;18(1):e0280889 View
  129. Xu Y, Sun Y, Hagen L, Patel M, Falling M. Evolution of the plandemic communication network among serial participants on Twitter. New Media & Society 2023;25(12):3676 View
  130. Antenore M, Camacho Rodriguez J, Panizzi E. A Comparative Study of Bot Detection Techniques With an Application in Twitter Covid-19 Discourse. Social Science Computer Review 2023;41(5):1520 View
  131. Freiling I, Krause N, Scheufele D, Chen K. The Science of Open (Communication) Science: Toward an Evidence-Driven Understanding of Quality Criteria in Communication Research. Journal of Communication 2021 View
  132. Pradhan R, Sharma D. A Framework for Topic Evolution and Tracking Their Sentiments With Time. International Journal of Fuzzy System Applications 2022;11(2):1 View
  133. Yum S. Social Networks of COVID-19 in South Korea. Journal of Asian and African Studies 2023:002190962311531 View
  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 2023;41(5):1811 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 2023;2677(4):219 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 2023;6(3):203 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 2023;40(5):869 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 2024;29(2):305 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 2023;33(5):1110 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
  233. Alhazmi H. Arabic Twitter Conversation Dataset about the COVID-19 Vaccine. Data 2022;7(11):152 View
  234. Braig N, Benz A, Voth S, Breitenbach J, Buettner R. Machine Learning Techniques for Sentiment Analysis of COVID-19-Related Twitter Data. IEEE Access 2023;11:14778 View
  235. Hernandez L, Callahan T, Banda J. A biomedically oriented automatically annotated Twitter COVID-19 dataset. Genomics & Informatics 2021;19(3):e21 View
  236. Sadiq M, Huo C, Almogren A, Aljammaz N, Al-Rahmi W, Al-maatuok Q, Zulfiqar S. Innovation in Neighborhood Management Web Service: A Precise Initiative to Augment Audiences' Interaction on Social Media. Frontiers in Psychology 2022;13 View
  237. Usher K, Durkin J, Martin S, Vanderslott S, Vindrola-Padros C, Usher L, Jackson D. Public Sentiment and Discourse on Domestic Violence During the COVID-19 Pandemic in Australia: Analysis of Social Media Posts. Journal of Medical Internet Research 2021;23(10):e29025 View
  238. Maccarrone‐Eaglen A, Schofield P. The influence of social media addiction on compulsive buying behaviour: A comparative analysis ofLGBT+ and heterosexual consumers. Journal of Consumer Behaviour 2023;22(1):98 View
  239. Liang G, Zhao J, Lau H, Leung C. Using Social Media to Analyze Public Concerns and Policy Responses to COVID-19 in Hong Kong. ACM Transactions on Management Information Systems 2021;12(4):1 View
  240. Muric G, Wu Y, Ferrara E. COVID-19 Vaccine Hesitancy on Social Media: Building a Public Twitter Data Set of Antivaccine Content, Vaccine Misinformation, and Conspiracies. JMIR Public Health and Surveillance 2021;7(11):e30642 View
  241. Vasilkova V, Trekin P. Fakes about Coronavirus: Communicational Technologies for Constructing False Messages. Discourse 2021;7(4):79 View
  242. Nisar S, Wakeel A, Tahir W, Tariq M. Minimizing Viral Transmission in COVID-19 Like Pandemics: Technologies, Challenges, and Opportunities. IEEE Sensors Journal 2023;23(2):922 View
  243. Karabin M, Kyröläinen A, Kuperman V. Increase in Linguistic Complexity in Older Adults During COVID-19. Experimental Aging Research 2024;50(3):312 View
  244. Ramanna S. Tolerance-based granular methods: Foundations and applications in natural language processing. Intelligent Decision Technologies 2023;17(1):139 View
  245. 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
  246. Bozarth L, Im J, Quarles C, Budak C. Wisdom of Two Crowds: Misinformation Moderation on Reddit and How to Improve this Process---A Case Study of COVID-19. Proceedings of the ACM on Human-Computer Interaction 2023;7(CSCW1):1 View
  247. Wang Y, Ling C, Stringhini G. Understanding the Use of Images to Spread COVID-19 Misinformation on Twitter. Proceedings of the ACM on Human-Computer Interaction 2023;7(CSCW1):1 View
  248. Ahmed U, Lin J, Srivastava G. Multi-Aspect Deep Active Attention Network for Healthcare Explainable Adoption. IEEE Journal of Biomedical and Health Informatics 2023;27(4):1709 View
  249. Moreno-Ortiz A, García-Gámez M. Strategies for the Analysis of Large Social Media Corpora: Sampling and Keyword Extraction Methods. Corpus Pragmatics 2023;7(3):241 View
  250. Tran B, Anh Do L, Hoang T, Boyer L, Auquier P, Fond G, Le H, Le Vu M, Dang T, Nguyen A, Latkin C, Ho R, Ho C, Zhang M. Crucial choices in a global health crisis: Revealing the demand and willingness to pay for a hypothetical monkeypox vaccine – the PREVENT study. Journal of Global Health 2023;13 View
  251. Lamsal R, Read M, Karunasekera S. BillionCOV: An enriched billion-scale collection of COVID-19 tweets for efficient hydration. Data in Brief 2023;48:109229 View
  252. Segev E. Sharing Feelings and User Engagement on Twitter: It’s All About Me and You. Social Media + Society 2023;9(2) View
  253. KİM C. How Right-Wing Extremism Uses the COVID-19 Pandemic: Focusing on Anti-Asian Rhetoric. Lectio Socialis 2023;7(1):1 View
  254. Md Suhaimin M, Ahmad Hijazi M, Moung E, Nohuddin P, Chua S, Coenen F. Social media sentiment analysis and opinion mining in public security: Taxonomy, trend analysis, issues and future directions. Journal of King Saud University - Computer and Information Sciences 2023;35(9):101776 View
  255. Fogarty B, Massie K, Svistova J. Unmasking twitter discourse: an infodemiology study of covid-19 mitigation practices. Atlantic Journal of Communication 2024;32(1):124 View
  256. Wu Y, Gong J. Mobile social media as a vehicle of health communication: a multimodal discourse analysis of WeChat official account posts during the COVID-19 crisis. Humanities and Social Sciences Communications 2023;10(1) View
  257. Illari L, Restrepo N, Johnson N. Rise of post-pandemic resilience across the distrust ecosystem. Scientific Reports 2023;13(1) View
  258. Etta G, Cinelli M, Galeazzi A, Valensise C, Quattrociocchi W, Conti M. Comparing the Impact of Social Media Regulations on News Consumption. IEEE Transactions on Computational Social Systems 2023;10(3):1252 View
  259. Lande J, Pillay A, Chandra R, Alam M. Deep learning for COVID-19 topic modelling via Twitter: Alpha, Delta and Omicron. PLOS ONE 2023;18(8):e0288681 View
  260. 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
  261. Xia X, Zhang Y, Jiang W, Wu C. Staying Home, Tweeting Hope: Mixed Methods Study of Twitter Sentiment Geographical Index During US Stay-At-Home Orders. Journal of Medical Internet Research 2023;25:e45757 View
  262. 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
  263. Cafferata A, Cerruti G, Mazzone G. Taxation, health system endowment and institutional quality: ‘Social media’ perceptions across Europe. Journal of Economic Behavior & Organization 2023;215:224 View
  264. Tang J, Yan B, Ho-Chun Chang H, Nan Y, Zhen L, Yang A. Policy communication in times of public health crisis: Longitudinal network modeling of U.S. politician-health agency interactions during the COVID-19 pandemic. Computers in Human Behavior 2023;148:107922 View
  265. Fiskvik J, Bjarkø A, Ihlen Ø. Trustworthiness Over Time on Twitter: Three Critical Periods for the Norwegian Health Authorities and Political Leadership During the COVID-19 Pandemic. Social Media + Society 2023;9(2):205630512311796 View
  266. Yoo W, Oh S, Kim T. The Effect of Social Media on Preventive Behavioural Intention During the COVID-19 Pandemic: Mediating Roles of Interpersonal Communication, Social Media Expression and Knowledge. Journal of Creative Communications 2023;18(2):166 View
  267. Méndiz-Noguero A, Wennberg-Capellades L, Regadera-González E, Goni-Fuste B. Public health communication and the Covid-19: A review of the literature during the first wave. El Profesional de la información 2023 View
  268. Siwakoti S, Shapiro J, Evans N. Less reliable media drive interest in anti-vaccine information. Harvard Kennedy School Misinformation Review 2023 View
  269. Altamimi S. Apocalyptic representation of COVID-19: A corpus-assisted discourse analysis of the World Health Organization's discourse practices. Discourse and Interaction 2023;16(1):25 View
  270. Sun K, Li W, Saikrishna V, Chadhar M, Xia F. COVID-19 datasets: A brief overview. Computer Science and Information Systems 2022;19(3):1115 View
  271. Wang J, Kim G, Chang K. Empowering health geography research with location-based social media data: innovative food word expansion and energy density prediction via word embedding and machine learning. International Journal of Health Geographics 2023;22(1) View
  272. Chiu M, Morakhovski A, Ebert D, Reinert A, Snyder L. Detecting COVID-19 Fake News on Twitter: Followers, Emotions, Relationships, and Uncertainty. American Behavioral Scientist 2023:000276422311743 View
  273. Burdzik R, Chema W, Celiński I. A study on passenger flow model and simulation in aspect of COVID-19 spreading on public transport bus stops. Journal of Public Transportation 2023;25:100063 View
  274. Butt M, Malik A, Qamar N, Yar S, Malik A, Rauf U. A Survey on COVID-19 Data Analysis Using AI, IoT, and Social Media. Sensors 2023;23(12):5543 View
  275. Duzen Z, Riveni M, Aktas M. Analyzing the Spread of Misinformation on Social Networks: A Process and Software Architecture for Detection and Analysis. Computers 2023;12(11):232 View
  276. Fernández-Basanta S, López-Villasenín S, Freijomil-Vázquez C, Movilla-Fernández M, Coronado C. COVID-19 Vaccination and Community Management: A Qualitative Study. Journal of Nursing Education 2023;62(6):343 View
  277. Lozano-Osorio I, Sánchez-Oro J, Duarte A. An efficient and effective GRASP algorithm for the Budget Influence Maximization Problem. Journal of Ambient Intelligence and Humanized Computing 2024;15(3):2023 View
  278. Chaudhary M, Kosyluk K, Thomas S, Neal T. On the use of aspect-based sentiment analysis of Twitter data to explore the experiences of African Americans during COVID-19. Scientific Reports 2023;13(1) View
  279. Kinanti T, Suyono S. Fenomena Speak Up pada Media Twitter (Study Deskriptif Korban Penipuan Melalui Gerakan “A Thread”). Jurnal Bisnis dan Komunikasi Digital 2023;1(1):12 View
  280. Chen N, Chen X, Zhong Z, Pang J. Bridging Performance of X (formerly known as Twitter) Users: A Predictor of Subjective Well-Being During the Pandemic. ACM Transactions on the Web 2024;18(1):1 View
  281. Qiu J, Li L, Sun J, Peng J, Shi P, Zhang R, Dong Y, Lam K, Lo F, Xiao B, Yuan W, Wang N, Xu D, Lo B. Large AI Models in Health Informatics: Applications, Challenges, and the Future. IEEE Journal of Biomedical and Health Informatics 2023;27(12):6074 View
  282. Illari L, Restrepo N, Johnson N. Complexity of the online distrust ecosystem and its evolution. Frontiers in Complex Systems 2024;1 View
  283. Johnson N, Sear R, Illari L, Abbott D. Controlling bad-actor-artificial intelligence activity at scale across online battlefields. PNAS Nexus 2023;3(1) View
  284. Corradini E. Deconstructing cultural appropriation in online communities: A multilayer network analysis approach. Information Processing & Management 2024;61(3):103662 View
  285. Lu J, Zhang H, Xiao Y, Wang Y. An Environmental Uncertainty Perception Framework for Misinformation Detection and Spread Prediction in the COVID-19 Pandemic: Artificial Intelligence Approach. JMIR AI 2024;3:e47240 View
  286. Sharma S, Sharma R, Datta A. (Mis)leading the COVID-19 Vaccination Discourse on Twitter: An Exploratory Study of Infodemic Around the Pandemic. IEEE Transactions on Computational Social Systems 2024;11(1):352 View
  287. Atilla F, Zwaan R. Impact of spatial distance on public attention and sentiment during the spread of COVID-19. Informatics in Medicine Unlocked 2024;45:101463 View
  288. Claes M, Farooq U, Salman I, Teern A, Isomursu M, Halonen R. Sentiment Analysis of Finnish Twitter Discussions on COVID-19 During the Pandemic. SN Computer Science 2024;5(2) View
  289. Lin H, Ma J, Yang R, Yang Z, Cheng M. Towards low-resource rumor detection: Unified contrastive transfer with propagation structure. Neurocomputing 2024;578:127438 View
  290. 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
  291. Wentzel A, Levine L, Dhariwal V, Fatemi Z, Bhattacharya A, Eugenio B, Rojecki A, Zheleva E, Marai G. MOTIV: Visual Exploration of Moral Framing in Social Media. Computer Graphics Forum 2024 View
  292. Sun J, Shin J, Li Y, Qu Y, Zhen L, Kim H, Yang A, Liu W, Saffer A. Communicating CSR relationships in COVID‐19: The evolution of cross‐sector communication networks on social media. Business Ethics, the Environment & Responsibility 2024 View
  293. Nguyen Phuc H, Dao Thi Tuyet L, Tran Huu T. The impact of integrated social communication on resident’s perception and support for tourism development. Quality & Quantity 2024 View
  294. Zheng M, Sear R, Illari L, Restrepo N, Johnson N. Adaptive link dynamics drive online hate networks and their mainstream influence. npj Complexity 2024;1(1) View
  295. Najafi A, Mugurtay N, Zouzou Y, Demirci E, Demirkiran S, Karadeniz H, Varol O. First public dataset to study 2023 Turkish general election. Scientific Reports 2024;14(1) View
  296. Restrepo E, Moreno M, Illari L, Johnson N. Softening Online Extremes Using Network Engineering. IEEE Access 2024;12:55768 View
  297. Singh P, Lamsal R, Singh M, Shishodia B, Sitaula C, Chand S. GeoCovaxTweets: A global analysis of COVID-19 vaccines and vaccination discourse on social media. Journal of Intelligent & Fuzzy Systems 2024:1 View
  298. Ladilova A, Müller K, Gomes S, Born J. Linguistic change in times of the COVID-19 pandemic: a corpus linguistic comparison of language contact phenomena in Romance languages. Zeitschrift für romanische Philologie 2024;140(1):1 View
  299. Lerman K, Feldman D, He Z, Rao A. Affective polarization and dynamics of information spread in online networks. npj Complexity 2024;1(1) View
  300. Rahman A, Mohammadi E, Alhoori H. Cutting through the noise to motivate people: A comprehensive analysis of COVID-19 social media posts de/motivating vaccination. Natural Language Processing Journal 2024:100085 View
  301. Li L, Zhou J, McManus S, Stewart R, Roberts A. Social media users’ attitudes toward cyberbullying during the COVID-19 pandemic: associations with gender and verification status. Frontiers in Psychology 2024;15 View

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
  32. Agarwal I, Rana D, Teja C, Sai Daivik N. Frontiers of ICT in Healthcare. View
  33. Giacó L, De Meulder B, Valentini V, Scambia G, Cesario A, Auffray C. Personalized Medicine Meets Artificial Intelligence. View
  34. Jüttner K, Nowak P, Imeri A, Stock W. Social Computing and Social Media. View
  35. Barbero F, op den Camp S, van Kuijk K, Soto García-Delgado C, Spanakis G, Iamnitchi A. Disinformation in Open Online Media. View
  36. Wajid M, Zafar A, Bhushan B, Khanday A, Wajid M. AI Models for Blockchain-Based Intelligent Networks in IoT Systems. View
  37. Comito C. Artificial Intelligence in Healthcare and COVID-19. View
  38. Bishop J. Play in a Covid Frame. View
  39. Moreno-Ortiz A. Making Sense of Large Social Media Corpora. View
  40. Moreno-Ortiz A. Making Sense of Large Social Media Corpora. View
  41. Saripilli P, Aruna Kumari G, Vannemreddy C, Shaik K, Madishetty S. Accelerating Discoveries in Data Science and Artificial Intelligence I. View