Published on in Vol 6, No 2 (2020): Apr-Jun
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/19447, first published
.
Journals
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- Ng Q, Yau C, Lim Y, Wong L, Liew T. Public sentiment on the global outbreak of monkeypox: an unsupervised machine learning analysis of 352,182 twitter posts. Public Health 2022;213:1 View
- 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
- Kubacka M, Luczys P, Modrzyk A, Stamm A. Pandemic rage: Everyday frustrations in times of the COVID-19 crisis. Current Sociology 2023;71(5):887 View
- Choi D. The multifaceted impact of social media on risk, behavior, and negative emotions during the COVID-19 outbreak in South Korea. Asian Journal of Communication 2021;31(5):337 View
- Wolaver A, Doces J. The impact of COVID‐19 and political identification on framing bias in an infectious disease experiment: The frame reigns supreme. Social Science Quarterly 2021;102(6):2459 View
- León-Sandoval E, Zareei M, Barbosa-Santillán L, Falcón Morales L, Pareja Lora A, Ochoa Ruiz G, Hošovský A. Monitoring the Emotional Response to the COVID-19 Pandemic Using Sentiment Analysis: A Case Study in Mexico. Computational Intelligence and Neuroscience 2022;2022:1 View
- Fattoh I, Kamal Alsheref F, Ead W, Youssef A, Alonso-Betanzos A. Semantic Sentiment Classification for COVID-19 Tweets Using Universal Sentence Encoder. Computational Intelligence and Neuroscience 2022;2022:1 View
- Wang R, Zhang H. Who spread COVID-19 (mis)information online? Differential informedness, psychological mechanisms, and intervention strategies. Computers in Human Behavior 2023;138:107486 View
- Zahry N, McCluskey M, Ling J. Risk governance during the COVID‐19 pandemic: A quantitative content analysis of governors' narratives on twitter. Journal of Contingencies and Crisis Management 2023;31(1):77 View
- ‘Ali N, Rosenberg D. Understanding the consideration of strategies for coping with locality violence in Arab society in Israel. Security Journal 2024;37(1):1 View
- Kyröläinen A, Luke J, Libben G, Kuperman V. Valence norms for 3,600 English words collected during the COVID-19 pandemic: Effects of age and the pandemic. Behavior Research Methods 2021;54(5):2445 View
- Khraisat B, Toubasi A, AlZoubi L, Al-Sayegh T, Mansour A. Meta-analysis of prevalence: the psychological sequelae among COVID-19 survivors. International Journal of Psychiatry in Clinical Practice 2022;26(3):234 View
- Monzani D, Vergani L, Pizzoli S, Marton G, Pravettoni G. Emotional Tone, Analytical Thinking, and Somatosensory Processes of a Sample of Italian Tweets During the First Phases of the COVID-19 Pandemic: Observational Study. Journal of Medical Internet Research 2021;23(10):e29820 View
- Zhang Q, Yi G, Chen L, He W, Kaddoura S. Sentiment analysis and causal learning of COVID-19 tweets prior to the rollout of vaccines. PLOS ONE 2023;18(2):e0277878 View
- Huang C, Bandyopadhyay A, Fan W, Miller A, Gilbertson-White S, Chen Z. Mental toll on working women during the COVID-19 pandemic: An exploratory study using Reddit data. PLOS ONE 2023;18(1):e0280049 View
- Beliga S, Martinčić-Ipšić S, Matešić M, Petrijevčanin Vuksanović I, Meštrović A. Infoveillance of the Croatian Online Media During the COVID-19 Pandemic: One-Year Longitudinal Study Using Natural Language Processing. JMIR Public Health and Surveillance 2021;7(12):e31540 View
- Stevens H, Rasul M, Oh Y. Emotions and Incivility in Vaccine Mandate Discourse: Natural Language Processing Insights. JMIR Infodemiology 2022;2(2):e37635 View
- Parthasarathi , Kumari G. Religious Tweets During COVID-19: Qualitative Analysis of Articulation of Ideas of Netizens. Media Watch 2022;13(1):104 View
- 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 2024;39(3):493 View
- Lorenzoni V, Andreozzi G, Bazzani A, Casigliani V, Pirri S, Tavoschi L, Turchetti G. How Italy Tweeted about COVID-19: Detecting Reactions to the Pandemic from Social Media. International Journal of Environmental Research and Public Health 2022;19(13):7785 View
- 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
- Pourkarim M, Nayebzadeh S, Alavian S, Hataminasab S. Digital Marketing: A Unique Multidisciplinary Approach towards the Elimination of Viral Hepatitis. Pathogens 2022;11(6):626 View
- Zhang W, Li L, Mou J, Zhang M, Cheng X, Xia H. Mediating Effects of Attitudes, Risk Perceptions, and Negative Emotions on Coping Behaviors. Journal of Organizational and End User Computing 2022;34(6):1 View
- Pelegrín-Borondo J, Arias-Oliva M, Almahameed A, Prado Román M. Covid-19 vaccines: A model of acceptance behavior in the healthcare sector. European Research on Management and Business Economics 2021;27(3):100171 View
- Mazzuca C, Falcinelli I, Michalland A, Tummolini L, Borghi A. Differences and similarities in the conceptualization of COVID-19 and other diseases in the first Italian lockdown. Scientific Reports 2021;11(1) View
- Hopkins S, Stark A, Zinoviev D, Tousignant O, Fireman G. College student expression on Twitter during the COVID-19 pandemic. Journal of American College Health 2024;72(3):722 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
- Houlden S, Hodson J, Veletsianos G, Thompson C, Reid D. Inoculating an Infodemic: An Ecological Approach to Understanding Engagement With COVID-19 Online Information. American Behavioral Scientist 2021;65(14):1990 View
- Nguyen H, Tsolak D, Karmann A, Knauff S, Kühne S. Efficient and Reliable Geocoding of German Twitter Data to Enable Spatial Data Linkage to Official Statistics and Other Data Sources. Frontiers in Sociology 2022;7 View
- Altan H, Coşgun A. Analysis of tweets on toothache during the COVID-19 pandemic using the CrystalFeel algorithm: a cross-sectional study. BMC Oral Health 2021;21(1) View
- Xu H, Liu R, Luo Z, Xu M. COVID-19 vaccine sensing: Sentiment analysis and subject distillation from twitter data. Telematics and Informatics Reports 2022;8:100016 View
- Houlden S, Veletsianos G, Hodson J, Reid D, Thompson C. COVID-19 health misinformation: using design-based research to develop a theoretical framework for intervention. Health Education 2022;122(5):506 View
- F. Ibrahim A, Hassaballah M, A. Ali A, Nam Y, A. Ibrahim I. COVID19 Outbreak: A Hierarchical Framework for User Sentiment Analysis. Computers, Materials & Continua 2022;70(2):2507 View
- Kada A, Chouikh A, Mellouli S, Prashad A, Straus S, Fahim C, Gaito S. An exploration of Canadian government officials’ COVID-19 messages and the public’s reaction using social media data. PLOS ONE 2022;17(9):e0273153 View
- 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
- 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
- Jain V, Kashyap K. Multilayer hybrid ensemble machine learning model for analysis of Covid-19 vaccine sentiments. Journal of Intelligent & Fuzzy Systems 2022;43(5):6307 View
- Waggoner P, Shapiro R, Frederick S, Gong M. Uncovering the Online Social Structure Surrounding COVID-19. Journal of Social Computing 2021;2(2):157 View
- Karabin M, Kyröläinen A, Kuperman V. Increase in Linguistic Complexity in Older Adults During COVID-19. Experimental Aging Research 2024;50(3):312 View
- Rosato C, Moore R, Carter M, Heap J, Harris J, Storopoli J, Maskell S. Extracting Self-Reported COVID-19 Symptom Tweets and Twitter Movement Mobility Origin/Destination Matrices to Inform Disease Models. Information 2023;14(3):170 View
- Chen S, Yin S, Guo Y, Ge Y, Janies D, Dulin M, Brown C, Robinson P, Zhang D. Content and sentiment surveillance (CSI): A critical component for modeling modern epidemics. Frontiers in Public Health 2023;11 View
- Xie T, Ge Y, Xu Q, Chen S. Public Awareness and Sentiment Analysis of COVID-Related Discussions Using BERT-Based Infoveillance. AI 2023;4(1):333 View
- 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
- Amores J, Blanco-Herrero D, Arcila-Calderón C. The Conversation around COVID-19 on Twitter—Sentiment Analysis and Topic Modelling to Analyse Tweets Published in English during the First Wave of the Pandemic. Journalism and Media 2023;4(2):467 View
- Muitana G, Amato C. Topics, concerns, and feelings commented on Facebook after the first death by COVID-19 in Mozambique. Revista de Investigación e Innovación en Ciencias de la Salud 2023;5(1):press View
- Sukhavasi N, Misra J, Kaulgud V, Podder S. Geo-sentiment trends analysis of tweets in context of economy and employment during COVID-19. Journal of Computational Social Science 2023;6(2):411 View
- Anoop V, Sreelakshmi S. Public discourse and sentiment during Mpox outbreak: an analysis using natural language processing. Public Health 2023;218:114 View
- Robinson J. Global health, global networks: a multilingual network approach to COVID-19 tweets in Norway, Korea, and Italy. Health & New Media Research 2022;6(2):174 View
- Das D, Pal S, Jena L. Emotional Labour During the COVID-19 Pandemic—Current Inquiry and Suggested Future Research Directions. Management and Labour Studies 2023;48(4):560 View
- Guo Y, Hou Y, Xiang H, Chen L. “Help Us!”: a content analysis of COVID-19 help-seeking posts on Weibo during the first lockdown. BMC Public Health 2023;23(1) View
- Mao L, Chu E, Gu J, Hu T, Weiner B, Su Y. A 4D Theoretical Framework for Measuring Topic-Specific Influence on Twitter: Development and Usability Study on Dietary Sodium Tweets. Journal of Medical Internet Research 2023;25:e45897 View
- Shokoohyar S, Ghomi V, Jafari Gorizi A, Liang W, Sinclair A. Impact of COVID-19 outbreak and vaccination on ride-sharing services: a social media analysis. Transportation Letters 2024;16(6):527 View
- GÜNDÜZ HOŞGÖR D, GÜNGÖRDÜ H, HOŞGÖR H. COVID-19 PANDEMİSİ VE ÖNCESİNDE HALKIN FARKLI DUYGU DURUM İFADELERİNE İLGİSİNİN GOOGLE TRENDLER ÜZERİNDEN ANALİZİ. R&S - Research Studies Anatolia Journal 2023;6(3):267 View
- Lee J, Kalny C, Demetriades S, Walter N. Angry Content for Angry People: How Anger Appeals Facilitate Health Misinformation Recall on Social Media. Media Psychology 2024;27(5):639 View
- Elliott J, Tong C, Gregg S, Mallinson S, Giguere A, Brierley M, Giosa J, MacNeil M, Juzwishin D, Sims-Gould J, Rockwood K, Stolee P. Policy and practices in primary care that supported the provision and receipt of care for older persons during the COVID-19 pandemic: a qualitative case study in three Canadian provinces. BMC Primary Care 2023;24(1) View
- 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
- Li Y, Huang S, Wei J, Brindle T, Lee C. What captures attention in the risk communication process: Exploring streaming video attractiveness during the first wave of the COVID-19 pandemic in China. Computers in Human Behavior 2023;149:107909 View
- Rodrigues P, Borges A, Brochado A, Sousa A. COVID-19 vaccine hesitation and brand choice uncertainty. International Journal of Pharmaceutical and Healthcare Marketing 2023;17(4):495 View
- Scharnetzki E, Waterston L, Scherer A, Thorpe A, Fagerlin A, Han P. Effects of Prosocial and Hope-Promoting Communication Strategies on COVID-19 Worry and Intentions for Risk-Reducing Behaviors and Vaccination: Experimental Study. JMIR Formative Research 2023;7:e41959 View
- Song L, Zhang A, Hu Z. Greenspace exposure is conducive to the resilience of public sentiment during the COVID-19 pandemic. Health & Place 2023;83:103096 View
- Fleury-Bahi G, Sapin A, Navarro O, Boudoukha A, Galharret J, Bret A, Congard A. Willingness to be vaccinated against COVID-19: the role of risk perception, trust in institutions, and affects. Frontiers in Psychology 2023;14 View
- Gao J, Gallegos G, West J. Public Health Policy, Political Ideology, and Public Emotion Related to COVID-19 in the U.S. International Journal of Environmental Research and Public Health 2023;20(21):6993 View
- 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
- Shankar K, Chandrasekaran R, Jeripity Venkata P, Miketinas D. Investigating the Role of Nutrition in Enhancing Immunity During the COVID-19 Pandemic: Twitter Text-Mining Analysis. Journal of Medical Internet Research 2023;25:e47328 View
- Stefanis C, Giorgi E, Kalentzis K, Tselemponis A, Nena E, Tsigalou C, Kontogiorgis C, Kourkoutas Y, Chatzak E, Dokas I, Constantinidis T, Bezirtzoglou E. Sentiment analysis of epidemiological surveillance reports on COVID-19 in Greece using machine learning models. Frontiers in Public Health 2023;11 View
- Beierle F, Pryss R, Aizawa A. Sentiments about Mental Health on Twitter—Before and during the COVID-19 Pandemic. Healthcare 2023;11(21):2893 View
- Luan Y, Sun L, Luo F, Stillwell D. Public emotional responses to crisis: The COVID‐19 pandemic in Wuhan and London. Social and Personality Psychology Compass 2023;17(8) View
- Isip Tan I, Cleofas J, Solano G, Pillejera J, Catapang J. Interdisciplinary Approach to Identify and Characterize COVID-19 Misinformation on Twitter: Mixed Methods Study. JMIR Formative Research 2023;7:e41134 View
- Drescher L, Roosen J, Aue K, Dressel K, Schär W, Götz A. Emotionalität in der COVID-19-Krisenkommunikation von Behörden und unabhängigen Expert*innen auf Twitter. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2023;66(6):689 View
- Weerasinghe S, Oyebode O, Orji R, Matwin S. Dynamics of emotion trends in Canadian Twitter users during COVID-19 confinement in relation to caseloads: Artificial intelligence-based emotion detection approach. DIGITAL HEALTH 2023;9 View
- Moitra S, Anderson A, Eathorne A, Brickstock A, Adan A, Akgün M, Tabrizi A, Haldar P, Henderson L, Jindal A, Jindal S, Kerget B, Khadour F, Melenka L, Moitra S, Moitra T, Mukherjee R, Murgia N, Semprini A, Turner A, Lacy P. COVID-19 infodemic and health-related quality of life in patients with chronic respiratory diseases: A multicentre, observational study. Journal of Global Health 2023;13 View
- Lu Y. Disease, Scapegoating, and Social Contexts: Examining Social Contexts of the Support for Racist Naming of COVID-19 on Twitter. Journal of Health and Social Behavior 2024;65(1):75 View
- Kyröläinen A, Kuperman V. Emotional State of Older Adults During the COVID-19 Pandemic: Insights from the Cognitive and Social Well-Being (CoSoWELL) Corpus. Experimental Aging Research 2024;50(4):482 View
- Kodati D, Dasari C. Negative emotion detection on social media during the peak time of COVID-19 through deep learning with an auto-regressive transformer. Engineering Applications of Artificial Intelligence 2024;127:107361 View
- Rupar M, Bobowik M, Sekerdej M, Pastor E, Kołeczek M, Jamróz‐Dolińska K, Ghorbani F, Mari S. The link between anger and admiration toward governmental actions and self‐reported preventive behaviour in the context of the COVID‐19 pandemic. International Journal of Psychology 2024;59(1):172 View
- Nguyen D, Phung T. Media Credibility and Re-use Intention for Information Seeking in Crisis: A Case of Cross-Platform Media Complementary Effect in Covid-19 Pandemic in Vietnam. Sage Open 2023;13(4) View
- Grabe M, Brown D, Ochieng J, Bryden J, Robinson R, Ahn Y, Moss A, Wang W. The Social Contagion Potential of Pro-Vaccine Messages on Black Twitter. Health Communication 2024;39(12):2598 View
- Wu X, Chen W, Zhang K, Lu Y. The dynamic impact of COVID-19 pandemic on park visits: A longitudinal study in the United States. Urban Forestry & Urban Greening 2023;90:128154 View
- Jerpan J, Moriceau V, Salis A, Klein R, Olivier F, Salles J. Changes in suicide-related tweets before and during the COVID-19 pandemic in France: The importance of social media monitoring in public health prediction. L'Encéphale 2024;50(5):516 View
- 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
- Lwin M, Yang S, Sheldenkar A, Yang X, Lee B. Assessing consumer rationality during a pandemic: Panic buying behaviours and its association with online social media discourse. Computers in Human Behavior Reports 2024;13:100361 View
- Ueda R, Han F, Zhang H, Aoki T, Ogasawara K. Verification in the Early Stages of the COVID-19 Pandemic: Sentiment Analysis of Japanese Twitter Users. JMIR Infodemiology 2024;4:e37881 View
- Kim D, Lim T, Hwang Y, Kim S. Predicting Support for COVID-19 Policies with Partisan Media Use and Negative Emotion: Evidence from the U.S. and South Korea. Journal of Health Communication 2023;28(sup2):32 View
- Wang X, Liu M, Luo F. Impact of the COVID-19 epidemic on collectivism and individualism in China: A study of Weibo users. Journal of Pacific Rim Psychology 2024;18 View
- Brassel S, Brunner M, Campbell A, Power E, Togher L. Exploring Discussions About Virtual Reality on Twitter to Inform Brain Injury Rehabilitation: Content and Network Analysis. Journal of Medical Internet Research 2024;26:e45168 View
- Haque A, Singh K, Kaphle S, Panchasara H, Tseng W. Shifting Workplace Paradigms: Twitter Sentiment Insights on Work from Home. Sustainability 2024;16(2):871 View
- Wang X, Vergeer M. Effect of Social Media Posts on Stock Market During COVID-19 Infodemic: An Agenda Diffusion Approach. Sage Open 2024;14(1) View
- Lahav E, Shahrabani S, Rosenboim M, Tsutsui Y. The Effect of Being Vaccinated and National Vaccination Rates on Individuals’ Cognitions, Emotions, and Economic Expectations: Evidence from Israel. International Journal of Behavioral Medicine 2024 View
- 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
- Charquero-Ballester M, Walter J, Rybner A, Nissen I, Enevoldsen K, Bechmann A, De Silva D. Emotions on Twitter as crisis imprint in high-trust societies: Do ambient affiliations affect emotional expression during the pandemic?. PLOS ONE 2024;19(3):e0296801 View
- Lwin M, Sheldenkar A, Tng P, Ovenseri-Ogbomo G. You must be myths-taken: Examining belief in falsehoods during the COVID-19 health crisis. PLOS ONE 2024;19(3):e0294471 View
- Hrbková L, Kudrnáč A. Fear, trust, and compliance with COVID-19 measures: a study of the mediating effect of trust in government on the relationship between fear and compliance. Journal of Public Policy 2024;44(3):527 View
- Li Y, Chen M, Lee H. Health communication on social media at the early stage of the pandemic: Examining health professionals’ COVID-19 related tweets. Social Science & Medicine 2024;347:116748 View
- Unlu A, Truong S, Sawhney N, Sivelä J, Tammi T. Tracing the dynamics of misinformation and vaccine stance in Finland amid COVID-19. Information, Communication & Society 2024:1 View
- Jain V, Kashyap K. Enhanced word vector space with ensemble deep learning model for COVID-19 Hindi text sentiment analysis. Multimedia Tools and Applications 2024 View
- Kabasawa K, Tsuda K. Proposal for a system to identify the causes and triggers of stress in infertility patients. Procedia Computer Science 2024;234:62 View
- Xu H, Muthya Sudheendra S, Huh J, Salecha A, Srivastava J. Influence of emotions on coping behaviors in crisis: a computational analysis of the COVID-19 outbreak. Journal of Computational Social Science 2024;7(2):1599 View
- Lau N, Zhao X, O'Daffer A, Weissman H, Barton K. Pediatric Cancer Communication on Twitter: Natural Language Processing and Qualitative Content Analysis. JMIR Cancer 2024;10:e52061 View
- Shi S, Wang G, Zhang L. How to Respond? The Impact of Government Response on Emotions in Emergencies from the Perspective of Configuration. Systems 2024;12(6):183 View
- Breve B, Caruccio L, Cirillo S, Deufemia V, Polese G. Analyzing the worldwide perception of the Russia-Ukraine conflict through Twitter. Journal of Big Data 2024;11(1) View
- Stoica T, Andrews E, Deffner A, Griffith C, Grilli M, Andrews-Hanna J. Speaking Well and Feeling Good: Age-Related Differences in the Affective Language of Resting State Thought. Affective Science 2024;5(2):141 View
- Yu L, Yang L. News media in crisis: a sentiment and emotion analysis of US news articles on unemployment in the COVID-19 pandemic. Humanities and Social Sciences Communications 2024;11(1) View
- Parthasarathy R, Rangarajan A, Garfield M, Bingi P. Global Perspective on EMR and eHealth. International Journal of Intelligent Information Technologies 2024;20(1):1 View
- Chatterjee S, Bhattacharjee S, Das A, Banerjee S. Imbalanced COVID-19 vaccine sentiment classification with synthetic resampling coupled deep adversarial active learning. Machine Learning 2024;113(10):8027 View
- Repke T, Callaghan M, Lamb W, Lück S, Müller-Hansen F, Minx J. How global crises compete for our attention: Insights from 13.5 million tweets on climate change during COVID-19. Energy Research & Social Science 2024;116:103668 View
- Gómez-Camacho A, Moreno-Fernandez O. Interests and feelings of Spanish teachers on twitter during Covid-19. E-Learning and Digital Media 2024 View
- Afifi S, Yaman A, Bakti I, Sumaedi S. Health communication and social media: Asian perspective. Global Knowledge, Memory and Communication 2024 View
- Bin Hossain M, Binmad R. The Analysis of Tourism Attitudes using Natural Language Processing Techniques: A Case of Malaysian Tourists. Asian Health, Science and Technology Reports 2024;32(3):57 View
- Othman N, Panchapakesan C, Loh S, Zhang M, Gupta R, Martanto W, Phang Y, Morris R, Loke W, Tan K, Subramaniam M, Yang Y. Predicting public mental health needs in a crisis using social media indicators: a Singapore big data study. Scientific Reports 2024;14(1) View
- Kusuma I, Visnyovszki Á, Bahar M. Mapping the Mpox discourse: A network and sentiment analysis. Exploratory Research in Clinical and Social Pharmacy 2024;16:100521 View
- Figueiredo S. Topic modelling and sentiment analysis during COVID-19 revealed emotions changes for public health. Scientific Reports 2024;14(1) View
- Timur Y, Ratnasari R, Pitchay A, Jamilu U. Investigating Netizen Sentiment Toward Halal Certification in Indonesia Using Machine Learning. Jurnal Ekonomi Syariah Teori dan Terapan 2023;10(6):525 View
- Chen M, Liu K, Zhao L, Guo Z. What We Convey When We Talk About Public Health Crisis: A Case Study of Global Media Coverage of COVID-19 Using Big Data Approach. Emerging Media 2024;2(4):611 View
- Rao A, Sabri N, Guo S, Raschid L, Lerman K. Public Health Messaging on Twitter During the COVID-19 Pandemic: An Observational Study (Preprint). Journal of Medical Internet Research 2024 View
- Fan L, Li L, Hemphill L. Toxicity on Social Media During the 2022 Mpox Public Health Emergency: Quantitative Study of Topical and Network Dynamics. Journal of Medical Internet Research 2024;26:e52997 View
- Alshanik F, Khasawneh R, Dalky A, Qawasmeh E. Unveiling Topics and Emotions in Arabic Tweets Surrounding the COVID-19 Pandemic: A Topic Modeling and Sentiment Analysis Approach (Preprint). JMIR Infodemiology 2023 View
Books/Policy Documents
- Koinig I. Risk Management. View
- Wright K. Communicating Science in Times of Crisis. View
- Alsoubai A, Song J, Razi A, Dacre P, Wisniewski P. Social Computing and Social Media: Applications in Marketing, Learning, and Health. View
- Yan Y, Chin W, Leong C, Wang Y, Feng C. Mapping COVID-19 in Space and Time. View
- Babić K, Petrović M, Beliga S, Martinčić-Ipšić S, Jarynowski A, Meštrović A. Proceedings of Sixth International Congress on Information and Communication Technology. 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
- Miliou I, Pavlopoulos J, Papapetrou P. Discovery Science. View
- Bogović P, Meštrović A, Martinčić-Ipšić S. Information and Software Technologies. View
- Rushee K, Rahim M, Levula A, Mahdavi M. Advanced Information Networking and Applications. View
- Zhao Q, Nie L, Xu X. Comparative Studies on Pandemic Control Policies and the Resilience of Society. View
- Koinig I. Advances in Advertising Research (Vol. XII). View
- Burns R. The Human Impact of the COVID-19 Pandemic. View
- Comito C. Artificial Intelligence in Healthcare and COVID-19. View
- Wang G, Li W, Wu S, Bai Q, Lai E. PRICAI 2023: Trends in Artificial Intelligence. View
- Seki Y. Advances in Sentiment Analysis - Techniques, Applications, and Challenges. View
- Shahi G. Digital Transformation. View
- Nadin M. Disrupt Science. View
- Osop H, Wong J, Lwin S, Lee C. Leveraging Generative Intelligence in Digital Libraries: Towards Human-Machine Collaboration. View
- Flood F, Klausner M. Global Encyclopedia of Public Administration, Public Policy, and Governance. View
- Gyftopoulos S, Drosatos G, Pecchia L, Fico G, Kaldoudi E. MEDICON’23 and CMBEBIH’23. View
- Flood F, Klausner M. Global Encyclopedia of Public Administration, Public Policy, and Governance. View
- Zar A, Zar L, Mohsen S, Magdi Y, Zughaier S. Surveillance, Prevention, and Control of Infectious Diseases. View
- Dempere J. Advancements in Health Sciences. View
- Kaufman D, Taylor T. Human Computer Interaction in Healthcare. View