Published on in Vol 22, No 5 (2020): May
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/18897, first published
.
Journals
- Cohen-McFarlane M, Goubran R, Knoefel F. Novel Coronavirus Cough Database: NoCoCoDa. IEEE Access 2020;8:154087 View
- Chang M, Hur J, Park D. Strategies for the Prevention of the Intra-Hospital Transmission of COVID-19: A Retrospective Cohort Study. Healthcare 2020;8(3):195 View
- Fagherazzi G, Goetzinger C, Rashid M, Aguayo G, Huiart L. Digital Health Strategies to Fight COVID-19 Worldwide: Challenges, Recommendations, and a Call for Papers. Journal of Medical Internet Research 2020;22(6):e19284 View
- Rovetta A, Bhagavathula A. Global Infodemiology of COVID-19: Analysis of Google Web Searches and Instagram Hashtags. Journal of Medical Internet Research 2020;22(8):e20673 View
- Chen E, Lerman K, Ferrara E. Tracking Social Media Discourse About the COVID-19 Pandemic: Development of a Public Coronavirus Twitter Data Set. JMIR Public Health and Surveillance 2020;6(2):e19273 View
- Gozzi N, Tizzani M, Starnini M, Ciulla F, Paolotti D, Panisson A, Perra N. Collective Response to Media Coverage of the COVID-19 Pandemic on Reddit and Wikipedia: Mixed-Methods Analysis. Journal of Medical Internet Research 2020;22(10):e21597 View
- Al-Rawi A, Shukla V. Bots as Active News Promoters: A Digital Analysis of COVID-19 Tweets. Information 2020;11(10):461 View
- Alnajashi H, Jabbad R, Lavorgna L. Behavioral practices of patients with multiple sclerosis during Covid-19 pandemic. PLOS ONE 2020;15(10):e0241103 View
- Tsao S, Chen H, Tisseverasinghe T, Yang Y, Li L, Butt Z. What social media told us in the time of COVID-19: a scoping review. The Lancet Digital Health 2021;3(3):e175 View
- Eachempati P, Srivastava P, Zhang Z. Gauging opinions about the COVID-19: a multi-channel social media approach. Enterprise Information Systems 2021;15(6):794 View
- Do B, Tran T, Phan D, Nguyen H, Nguyen T, Nguyen H, Ha T, Dao H, Trinh M, Do T, Nguyen H, Vo T, Nguyen N, Tran C, Tran K, Duong T, Pham H, Nguyen L, Nguyen K, Chang P, Duong T. Health Literacy, eHealth Literacy, Adherence to Infection Prevention and Control Procedures, Lifestyle Changes, and Suspected COVID-19 Symptoms Among Health Care Workers During Lockdown: Online Survey. Journal of Medical Internet Research 2020;22(11):e22894 View
- 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
- 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
- Martínez-Cardama S, Pacios A. Twitter communication of university libraries in the face of Covid-19. El profesional de la información 2020 View
- Chen N, Zhong Z, Pang J. An Exploratory Study of COVID-19 Information on Twitter in the Greater Region. Big Data and Cognitive Computing 2021;5(1):5 View
- 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
- 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
- Laudanski K, Shea G, DiMeglio M, Restrepo M, Solomon C. What Can COVID-19 Teach Us about Using AI in Pandemics?. Healthcare 2020;8(4):527 View
- Lyu J, Luli G. Understanding the Public Discussion About the Centers for Disease Control and Prevention During the COVID-19 Pandemic Using Twitter Data: Text Mining Analysis Study. Journal of Medical Internet Research 2021;23(2):e25108 View
- de Melo T, Figueiredo C. Comparing News Articles and Tweets About COVID-19 in Brazil: Sentiment Analysis and Topic Modeling Approach. JMIR Public Health and Surveillance 2021;7(2):e24585 View
- Pascual-Ferrá P, Alperstein N, Barnett D. Social Network Analysis of COVID-19 Public Discourse on Twitter: Implications for Risk Communication. Disaster Medicine and Public Health Preparedness 2022;16(2):561 View
- Gencoglu O. Large-Scale, Language-Agnostic Discourse Classification of Tweets During COVID-19. Machine Learning and Knowledge Extraction 2020;2(4):603 View
- 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
- Al-Laith A, Alenezi M. Monitoring People’s Emotions and Symptoms from Arabic Tweets during the COVID-19 Pandemic. Information 2021;12(2):86 View
- Duong T, Pham K, Do B, Kim G, Dam H, Le V, Nguyen T, Nguyen H, Nguyen T, Le T, Do H, Yang S. Digital Healthy Diet Literacy and Self-Perceived Eating Behavior Change during COVID-19 Pandemic among Undergraduate Nursing and Medical Students: A Rapid Online Survey. International Journal of Environmental Research and Public Health 2020;17(19):7185 View
- Kim H, Choi E, Park S, Kim E. Factors Influencing Preventive Behavior against Coronavirus Disease 2019 (COVID-19) among Medically Inclined College Students. Journal of Korean Academy of Fundamentals of Nursing 2020;27(4):428 View
- Petersen K, Gerken J. #Covid-19: An exploratory investigation of hashtag usage on Twitter. Health Policy 2021;125(4):541 View
- 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
- Al-Khalifa K, AlSheikh R, Alsahafi Y, Alkhalifa A, Sadaf S, Muazen Y, Al-Moumen S, Yermal A. Dental care during the COVID-19 Pandemic: An Arabic tweets analysis (Preprint). JMIR Public Health and Surveillance 2020 View
- Lamsal R. Design and analysis of a large-scale COVID-19 tweets dataset. Applied Intelligence 2020 View
- Gencoglu O, Gruber M. Causal Modeling of Twitter Activity during COVID-19. Computation 2020;8(4):85 View
- Gamsızkan Z, Sungur M, Erdemir G. How do older age, gender and risk groups affect protective behaviours and mental health in the COVID‐19 pandemic?. International Journal of Clinical Practice 2021;75(6) View
- 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
- Schück S, Foulquié P, Mebarki A, Faviez C, Khadhar M, Texier N, Katsahian S, Burgun A, Chen X. Concerns Discussed on Chinese and French Social Media During the COVID-19 Lockdown: Comparative Infodemiology Study Based on Topic Modeling. JMIR Formative Research 2021;5(4):e23593 View
- Banerjee D, Meena K. RETRACTED: COVID-19 as an “Infodemic” in Public Health: Critical Role of the Social Media. Frontiers in Public Health 2021;9 View
- Palazzi M, Solé-Ribalta A, Calleja-Solanas V, Meloni S, Plata C, Suweis S, Borge-Holthoefer J. An ecological approach to structural flexibility in online communication systems. Nature Communications 2021;12(1) View
- McKay K, Wayland S, Ferguson D, Petty J, Kennedy E. “At Least until the Second Wave Comes…”: A Twitter Analysis of the NHS and COVID-19 between March and June 2020. International Journal of Environmental Research and Public Health 2021;18(8):3943 View
- Ramamoorthy T, Karmegam D, Mappillairaju B. Use of social media data for disease based social network analysis and network modeling: A Systematic Review. Informatics for Health and Social Care 2021;46(4):443 View
- 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
- Aiyanyo I, Samuel H, Lim H. Effects of the COVID-19 Pandemic on Classrooms: A Case Study on Foreigners in South Korea Using Applied Machine Learning. Sustainability 2021;13(9):4986 View
- 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
- EL Azzaoui A, Singh S, Park J. SNS Big Data Analysis Framework for COVID-19 Outbreak Prediction in Smart Healthy City. Sustainable Cities and Society 2021;71:102993 View
- Usher K, Bradbury Jones C, Bhullar N, Durkin D, Gyamfi N, Fatema S, Jackson D. COVID‐19 and family violence: Is this a perfect storm?. International Journal of Mental Health Nursing 2021;30(4):1022 View
- Al-Khalifa K, AlSheikh R, Alsahafi Y, Alkhalifa A, Sadaf S, Al-Moumen S, Muazen Y, Shetty A. Dental Care in the Arab Countries During the COVID-19 Pandemic: An Infodemiological Study. Risk Management and Healthcare Policy 2021;Volume 14:2153 View
- Rauchfleisch A, Vogler D, Eisenegger M. Public Sphere in Crisis Mode: How the COVID-19 Pandemic Influenced Public Discourse and User Behaviour in the Swiss Twitter-sphere. Javnost - The Public 2021;28(2):129 View
- Herrera-Peco I, Jiménez-Gómez B, Romero Magdalena C, Deudero J, García-Puente M, Benítez De Gracia E, Ruiz Núñez C. Antivaccine Movement and COVID-19 Negationism: A Content Analysis of Spanish-Written Messages on Twitter. Vaccines 2021;9(6):656 View
- Nanath K, Joy G. Leveraging Twitter data to analyze the virality of Covid-19 tweets: a text mining approach. Behaviour & Information Technology 2023;42(2):196 View
- Chong M, Park H. COVID-19 in the Twitterverse, from epidemic to pandemic: information-sharing behavior and Twitter as an information carrier. Scientometrics 2021;126(8):6479 View
- Choudrie J, Patil S, Kotecha K, Matta N, Pappas I. Applying and Understanding an Advanced, Novel Deep Learning Approach: A Covid 19, Text Based, Emotions Analysis Study. Information Systems Frontiers 2021;23(6):1431 View
- Al-Shargabi A, Selmi A. Social Network Analysis and Visualization of Arabic Tweets During the COVID-19 Pandemic. IEEE Access 2021;9:90616 View
- Albalawi Y, Buckley J, Nikolov N. Investigating the impact of pre-processing techniques and pre-trained word embeddings in detecting Arabic health information on social media. Journal of Big Data 2021;8(1) View
- Cao J, Liu F, Shang M, Zhou X. Toward street vending in post COVID-19 China: Social networking services information overload and switching intention. Technology in Society 2021;66:101669 View
- Wu J, Sivaraman V, Kumar D, Banda J, Sontag D. Pulse of the pandemic: Iterative topic filtering for clinical information extraction from social media. Journal of Biomedical Informatics 2021;120:103844 View
- Park H, Biddix J, Park H. Discussion, news information, and research sharing on social media at the onset of Covid-19. El Profesional de la información 2021 View
- Bichara D, Dagher Z, Fang H. What do COVID-19 Tweets Reveal about Public Engagement with Nature of Science?. Science & Education 2022;31(2):293 View
- Zhu Y, Park H. Development of a COVID-19 Web Information Transmission Structure Based on a Quadruple Helix Model: Webometric Network Approach Using Bing. Journal of Medical Internet Research 2021;23(8):e27681 View
- Jong W, Liang O, Yang C. The Exchange of Informational Support in Online Health Communities at the Onset of the COVID-19 Pandemic: Content Analysis. JMIRx Med 2021;2(3):e27485 View
- Elyashar A, Plochotnikov I, Cohen I, Puzis R, Cohen O. The State of Mind of Health Care Professionals in Light of the COVID-19 Pandemic: Text Analysis Study of Twitter Discourses. Journal of Medical Internet Research 2021;23(10):e30217 View
- Yao Q, Li R, Song L, Crabbe M. Construction safety knowledge sharing on Twitter: A social network analysis. Safety Science 2021;143:105411 View
- Jafarinejad F, Rahimi M, Mashayekhi H. Tracking and analysis of discourse dynamics and polarity during the early Corona pandemic in Iran. Journal of Biomedical Informatics 2021;121:103862 View
- Kostkova P, Saigí-Rubió F, Eguia H, Borbolla D, Verschuuren M, Hamilton C, Azzopardi-Muscat N, Novillo-Ortiz D. Data and Digital Solutions to Support Surveillance Strategies in the Context of the COVID-19 Pandemic. Frontiers in Digital Health 2021;3 View
- Tahamtan I, Potnis D, Mohammadi E, Miller L, Singh V. Framing of and Attention to COVID-19 on Twitter: Thematic Analysis of Hashtags. Journal of Medical Internet Research 2021;23(9):e30800 View
- Lee G, Lee J. Analysis of "social distancing" news during the second COVID-19 wave : Focusing on featured news selected by the newsrooms using deep learning. Korean Journal of Journalism & Communication Studies 2021;65(6):249 View
- Chavda V, Sonak S, Munshi N, Dhamade P. Pseudoscience and fraudulent products for COVID-19 management. Environmental Science and Pollution Research 2022;29(42):62887 View
- DENİZYARAN S, TALİ D, ŞEN S, DAĞCI M. Organ Nakli Tedavisi ve Hemşirelik Bakımı Konusunda Türkçe Web Sitelerindeki Bilgilerin Değerlendirilmesi. Cumhuriyet Üniversitesi Sağlık Bilimleri Enstitüsü Dergisi 2022;7(3):165 View
- Song L, Li R, Wareewanich T. The Cultivation Effect of Architectural Heritage YouTube Videos on Perceived Destination Image. Buildings 2023;13(2):508 View
- Binkheder S, Aldekhyyel R, AlMogbel A, Al-Twairesh N, Alhumaid N, Aldekhyyel S, Jamal A. Public Perceptions around mHealth Applications during COVID-19 Pandemic: A Network and Sentiment Analysis of Tweets in Saudi Arabia. International Journal of Environmental Research and Public Health 2021;18(24):13388 View
- 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
- Pulido-Polo M, Jiménez-Marín G, Pérez Curiel C, Vázquez-González J. Twitter como herramienta de comunicación institucional: la Casa Real Británica y la Casa Real Española en el contexto postpandémico. Revista de Comunicación 2022;21(2):225 View
- 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
- 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
- Yao Q, Li R, Song L. Carbon neutrality vs. neutralité carbone: A comparative study on French and English users’ perceptions and social capital on Twitter. Frontiers in Environmental Science 2022;10 View
- Kłak A, Grygielska J, Mańczak M, Ejchman-Pac E, Owoc J, Religioni U, Olszewski R. Online Information of COVID-19: Visibility and Characterization of Highest Positioned Websites by Google between March and April 2020—A Cross-Country Analysis. International Journal of Environmental Research and Public Health 2022;19(3):1491 View
- Tsai C, Cheng M, Hsu S, Lu T, Huang C, Liu Y, Shih C, Fang C. Social network analysis of nationwide interhospital emergency department transfers in Taiwan. Scientific Reports 2023;13(1) View
- Montesi M. Human information behavior during the Covid-19 health crisis. A literature review. Library & Information Science Research 2021;43(4):101122 View
- Lane J, Habib D, Curtis B. Linguistic Methodologies to Surveil the Leading Causes of Mortality: Scoping Review of Twitter for Public Health Data. Journal of Medical Internet Research 2023;25:e39484 View
- Wankhade M, Rao A, Kulkarni C. A survey on sentiment analysis methods, applications, and challenges. Artificial Intelligence Review 2022;55(7):5731 View
- 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
- Aldekhyyel R, Binkheder S, Aldekhyyel S, Alhumaid N, Hassounah M, AlMogbel A, Jamal A. The Saudi Ministries Twitter communication strategies during the COVID-19 pandemic: A qualitative content analysis study. Public Health in Practice 2022;3:100257 View
- Kumar V. Spatiotemporal sentiment variation analysis of geotagged COVID-19 tweets from India using a hybrid deep learning model. Scientific Reports 2022;12(1) View
- VanDyke M, Britt B, Britt R, Franco C. How environment-focused communities discuss COVID-19 online: an analysis of social (risk) amplification and ripple effects on Reddit. Environmental Communication 2023;17(3):322 View
- Al-Rakhami M, Al-Amri A. Lies Kill, Facts Save: Detecting COVID-19 Misinformation in Twitter. IEEE Access 2020;8:155961 View
- Sultana T, Dhillon G, Oliveira T. The effect of fear and situational motivation on online information avoidance: The case of COVID-19. International Journal of Information Management 2023;69:102596 View
- Biddix J, Park H, Collom G, Bailey M, Park H. Discourse about higher education on Twitter in early phases of COVID-19: A crisis management social network analysis. Education and Information Technologies 2023;28(8):9957 View
- Chen A, Zhang J, Liao W, Luo C, Shen C, Feng B. Multiplicity and dynamics of social representations of the COVID-19 pandemic on Chinese social media from 2019 to 2020. Information Processing & Management 2022;59(4):102990 View
- Park S, Kim J. Tweeting about abusive comments and misogyny in South Korea following the suicide of Sulli, a female K-pop star: Social and semantic network analyses. El Profesional de la información 2021 View
- Abdel-Razig S, Anglade P, Ibrahim H. Impact of the COVID-19 Pandemic on a Physician Group’s WhatsApp Chat: Qualitative Content Analysis. JMIR Formative Research 2021;5(12):e31791 View
- Sacre H, Hajj A, Badro D, Abou Selwan C, Haddad C, Aoun R, Salameh P. The Combined Outcomes of the COVID-19 Pandemic and a Collapsing Economy on Mental Well-Being: A Cross-Sectional Study. Psychological Reports 2024;127(1):64 View
- Pulido Polo M, Sánchez González M, Mesa Göbel J, Vázquez-González J. La Moncloa en Twitter: un análisis cuantitativo en la era post COVID. Revista Latina de Comunicación Social 2023;(81) View
- Shameer S. Mass media and social media during COVID-19: A review. Journal of Dr. NTR University of Health Sciences 2021;10(3):129 View
- 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
- Boukobza A, Burgun A, Roudier B, Tsopra R. Deep Neural Networks for Simultaneously Capturing Public Topics and Sentiments During a Pandemic: Application on a COVID-19 Tweet Data Set. JMIR Medical Informatics 2022;10(5):e34306 View
- Yang S, Park H. Analysis of the Rate of Confirmed COVID-19 Cases in Seoul and Factors Affecting It Using Big Data Analysis. Asia Pacific Journal of Public Health 2022;34(8):824 View
- Faruk M, Devnath P, Kar S, Eshaa E, Naziat H. Perception and determinants of Social Networking Sites (SNS) on spreading awareness and panic during the COVID-19 pandemic in Bangladesh. Health Policy OPEN 2022;3:100075 View
- 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
- Babić K, Petrović M, Beliga S, Martinčić-Ipšić S, Matešić M, Meštrović A. Characterisation of COVID-19-Related Tweets in the Croatian Language: Framework Based on the Cro-CoV-cseBERT Model. Applied Sciences 2021;11(21):10442 View
- Parthasarathi , Kumari G. Religious Tweets During COVID-19: Qualitative Analysis of Articulation of Ideas of Netizens. Media Watch 2022;13(1):104 View
- Yun S, Park B, Jung E, Kwon J, Park Y, Kim H. Factors Affecting the Practice of Corona Virus Disease-19 Prevention Activities in Patients With Heart Diseases in Korea. Clinical Nursing Research 2022;31(4):713 View
- Guan L, Liu X, Sun W, Liang H, Zhu J, Mehmood R. Census of Twitter users: Scraping and describing the national network of South Korea. PLOS ONE 2022;17(11):e0277549 View
- Chen N, Chen X, Zhong Z, Pang J. Exploring Spillover Effects for COVID-19 Cascade Prediction. Entropy 2022;24(2):222 View
- Jung G, Jang S. Understanding the role of ethnic online communities during the COVID-19 pandemic: A case study of Korean immigrant women's information-seeking behaviors. Asian Journal of Social Science 2022;50(4):292 View
- Tahamtan I, Potnis D, Mohammadi E, Singh V, Miller L. The Mutual Influence of the World Health Organization (WHO) and Twitter Users During COVID-19: Network Agenda-Setting Analysis. Journal of Medical Internet Research 2022;24(4):e34321 View
- 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
- Tang X, Lu J, Chen Z, Liu C, Jiang X, Ning M. Influencing Factors of Patients’ Trust in Nurses During the COVID-19 Pandemic: A Mixed-Methods Study. Disaster Medicine and Public Health Preparedness 2023;17 View
- ELİAÇIK B. Covid-19 Pandemisinin İlk Aylarında Twitter Gönderilerinin Metinsel Analizi.. Medical Research Reports 2022;5(3):136 View
- Choi Y, Um Y. Topic Models to Analyze Disaster-Related Newspaper Articles: Focusing on COVID-19. International Journal of Mental Health Promotion 2023;25(3):421 View
- Ramjee D, Pollack C, Charpignon M, Gupta S, Rivera J, El Hayek G, Dunn A, Desai A, Majumder M. Evolving Face Mask Guidance During a Pandemic and Potential Harm to Public Perception: Infodemiology Study of Sentiment and Emotion on Twitter. Journal of Medical Internet Research 2023;25:e40706 View
- Lai T, Liang W, Zhong M, Zhu P, Li B. Current Status of Chinese Medical Students’ Professional Identity After COVID-19 and the Factors That Influence It. Frontiers in Psychology 2022;13 View
- 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
- 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
- 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
- Ulvi O, Karamehic-Muratovic A, Baghbanzadeh M, Bashir A, Smith J, Haque U. Social Media Use and Mental Health: A Global Analysis. Epidemiologia 2022;3(1):11 View
- TUNA N, SEBATLI SAĞLAM A, ÇAVDUR F. Covid-19 Salgını ile İlgili Paylaşımlar Üzerinde Veri Analizi. Bilişim Teknolojileri Dergisi 2022;15(1):13 View
- Cao J, Liu D, Zhang G, Shang M. Reply to Giansanti, D. Why Has Digital Contact Tracing Worked Differently in Different Countries? Comment on “Cao et al. The Impact of Digital Contact Tracing Apps Overuse on Prevention of COVID-19: A Normative Activation Model Perspective. Life 2022, 12, 1371”. Life 2022;12(10):1593 View
- Luo X, Gandhi P, Storey S, Huang K. A Deep Language Model for Symptom Extraction From Clinical Text and its Application to Extract COVID-19 Symptoms From Social Media. IEEE Journal of Biomedical and Health Informatics 2022;26(4):1737 View
- Weder F, Courtois C. Differences in universal health coverage and governments' COVID-19 communication: A global comparative analysis. Frontiers in Communication 2022;7 View
- Vargas Meza X, Park H. Information Circulation Among Spanish-Speaking and Caribbean Communities Related to COVID-19: Social Media–Based Multidimensional Analysis. Journal of Medical Internet Research 2023;25:e42669 View
- Cheung K, Chan H, Erduran S. Communicating science in the COVID-19 news in the UK during Omicron waves: exploring representations of nature of science with epistemic network analysis. Humanities and Social Sciences Communications 2023;10(1) View
- Purwandari K, Perdana R, Sigalingging J, Rahutomo R, Pardamean B. Automatic Smart Crawling on Twitter for Weather Information in Indonesia. Procedia Computer Science 2023;227:795 View
- Oh Y, Kim J. Insights Into Korean Public Perspectives on Urology: Online News Data Analytics Through Latent Dirichlet Allocation Topic Modeling. International Neurourology Journal 2023;27(Suppl 2):S91 View
- Koukaras P, Rousidis D, Tjortjis C. Unraveling Microblog Sentiment Dynamics: A Twitter Public Attitudes Analysis towards COVID-19 Cases and Deaths. Informatics 2023;10(4):88 View
- 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
- Ilesanmi O, Chirico F, Afolabi A, Nucera G. Coping with the Third wave of the COVID-19 Pandemic in Africa: Implications for an Improved Outbreak Response. Future Virology 2022;17(4):205 View
- Almeida C, Castro C, Leiva V, Braga A, Freitas A. Optimizing Sentiment Analysis Models for Customer Support: Methodology and Case Study in the Portuguese Retail Sector. Journal of Theoretical and Applied Electronic Commerce Research 2024;19(2):1493 View
- Choi S, Eom S. Using Twitter to fight the COVID-19 pandemic: the case of United States governors. Public Management Review 2024:1 View
- Hussna A, Alam M, Islam R, Alkhamees B, Hassan M, Uddin M. Dissecting the infodemic: An in-depth analysis of COVID-19 misinformation detection on X (formerly Twitter) utilizing machine learning and deep learning techniques. Heliyon 2024;10(18):e37760 View
- Potnis D, Tahamtan I, McDonald L. Negative consequences of information gatekeeping through algorithmic technologies: An Annual Review of Information Science and Technology (ARIST) paper. Journal of the Association for Information Science and Technology 2024 View
- Jia W, Lu F. US media’s coverage of China’s handling of COVID-19: Playing the role of the fourth branch of government or the fourth estate?. Global Media and China 2021;6(1):8 View
- Radwan A, Mousa S. Government Communication Strategies during Coronavirus Pandemic: United Arab Emirates Lessons. Journal of Health Management 2020;22(4):516 View
- Ganter S. Young adults’ perceptions of entertainment consumption in their everyday lives during the COVID-19 pandemic: Negotiating versatility, emotions, and agency in times of limited choice. Media, Culture & Society 2024 View
Books/Policy Documents
- Shah C, Sebastian M. Re-imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation. View
- Sabuncu I, Aydin M. Data Science Advancements in Pandemic and Outbreak Management. View
- 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
- Vogler D, Meissner F. The Handbook of Crisis Communication. View
- Akbar P, Nurmandi A, Irawan B, Qodir Z, Juba H. HCI International 2022 Posters. View
- Ren Q. Mobile Storytelling in an Age of Smartphones. View
- Apolinario-Arzube O, García-Díaz J, Roldán D, Prieto-González L, Casal G, Valencia-García R. Technologies and Innovation. View
- Bogović P, Meštrović A, Martinčić-Ipšić S. Information and Software Technologies. View
- Shruti R, Gupta S. Navigating the Technological Tide: The Evolution and Challenges of Business Model Innovation. View