Published on in Vol 22, No 11 (2020): November
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/20550, first published
.
Journals
- Sontayasara T, Jariyapongpaiboon S, Promjun A, Seelpipat N, Saengtabtim K, Tang J, Leelawat N. Twitter Sentiment Analysis of Bangkok Tourism During COVID-19 Pandemic Using Support Vector Machine Algorithm. Journal of Disaster Research 2021;16(1):24 View
- Yu S, Eisenman D, Han Z. Temporal Dynamics of Public Emotions During the COVID-19 Pandemic at the Epicenter of the Outbreak: Sentiment Analysis of Weibo Posts From Wuhan. Journal of Medical Internet Research 2021;23(3):e27078 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
- 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
- Wicke P, Bolognesi M. Covid-19 Discourse on Twitter: How the Topics, Sentiments, Subjectivity, and Figurative Frames Changed Over Time. Frontiers in Communication 2021;6 View
- Siddique S, Chow J. Machine Learning in Healthcare Communication. Encyclopedia 2021;1(1):220 View
- Adikari A, Nawaratne R, De Silva D, Ranasinghe S, Alahakoon O, Alahakoon D. Emotions of COVID-19: Content Analysis of Self-Reported Information Using Artificial Intelligence. Journal of Medical Internet Research 2021;23(4):e27341 View
- Zhou X, Song Y, Jiang H, Wang Q, Qu Z, Zhou X, Jit M, Hou Z, Lin L. Comparison of Public Responses to Containment Measures During the Initial Outbreak and Resurgence of COVID-19 in China: Infodemiology Study. Journal of Medical Internet Research 2021;23(4):e26518 View
- Fiok K, Karwowski W, Gutierrez E, Saeidi M, Aljuaid A, Davahli M, Taiar R, Marek T, Sawyer B. A Study of the Effects of the COVID-19 Pandemic on the Experience of Back Pain Reported on Twitter® in the United States: A Natural Language Processing Approach. International Journal of Environmental Research and Public Health 2021;18(9):4543 View
- Han C, Yang M, Piterou A. Do news media and citizens have the same agenda on COVID-19? an empirical comparison of twitter posts. Technological Forecasting and Social Change 2021;169:120849 View
- Satu M, Khan M, Mahmud M, Uddin S, Summers M, Quinn J, Moni M. TClustVID: A novel machine learning classification model to investigate topics and sentiment in COVID-19 tweets. Knowledge-Based Systems 2021;226:107126 View
- Batra R, Imran A, Kastrati Z, Ghafoor A, Daudpota S, Shaikh S. Evaluating Polarity Trend Amidst the Coronavirus Crisis in Peoples’ Attitudes toward the Vaccination Drive. Sustainability 2021;13(10):5344 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
- Criss S, Nguyen T, Norton S, Virani I, Titherington E, Tillmanns E, Kinnane C, Maiolo G, Kirby A, Gee G. Advocacy, Hesitancy, and Equity: Exploring U.S. Race-Related Discussions of the COVID-19 Vaccine on Twitter. International Journal of Environmental Research and Public Health 2021;18(11):5693 View
- Kydros D, Argyropoulou M, Vrana V. A Content and Sentiment Analysis of Greek Tweets during the Pandemic. Sustainability 2021;13(11):6150 View
- Viviani M, Crocamo C, Mazzola M, Bartoli F, Carrà G, Pasi G. Assessing vulnerability to psychological distress during the COVID-19 pandemic through the analysis of microblogging content. Future Generation Computer Systems 2021;125:446 View
- Otero P, Gago J, Quintas P. Twitter data analysis to assess the interest of citizens on the impact of marine plastic pollution. Marine Pollution Bulletin 2021;170:112620 View
- Chilman N, Morant N, Lloyd-Evans B, Wackett J, Johnson S. Twitter Users’ Views on Mental Health Crisis Resolution Team Care Compared With Stakeholder Interviews and Focus Groups: Qualitative Analysis. JMIR Mental Health 2021;8(6):e25742 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
- Luo C, Ji K, Tang Y, Du Z. Exploring the Expression Differences Between Professionals and Laypeople Toward the COVID-19 Vaccine: Text Mining Approach. Journal of Medical Internet Research 2021;23(8):e30715 View
- Tri Sakti A, Mohamad E, Azlan A. Mining of Opinions on COVID-19 Large-Scale Social Restrictions in Indonesia: Public Sentiment and Emotion Analysis on Online Media. Journal of Medical Internet Research 2021;23(8):e28249 View
- Ghaleb M, Almurtadha Y, Algarni F, Abdullah M, Felemban E, M. Alsharafi A, Othman M, Ghilan K. Mining the Chatbot Brain to Improve COVID-19 Bot Response Accuracy. Computers, Materials & Continua 2022;70(2):2619 View
- Kwon S, Park A. Understanding user responses to the COVID-19 pandemic on Twitter from a terror management theory perspective: Cultural differences among the US, UK and India. Computers in Human Behavior 2022;128:107087 View
- Zhang M, Qi X, Chen Z, Liu J. Social Bots’ Involvement in the COVID-19 Vaccine Discussions on Twitter. International Journal of Environmental Research and Public Health 2022;19(3):1651 View
- Shankar S, Tewari V. Understanding the Emotional Intelligence Discourse on Social Media: Insights from the Analysis of Twitter. Journal of Intelligence 2021;9(4):56 View
- Luo L, Wang Y, Mo D. Identifying COVID-19 Personal Health Mentions From Tweets Using Masked Attention Model. IEEE Access 2022;10:59068 View
- Heyerdahl L, Lana B, Giles-Vernick T. The Impact of the Online COVID-19 Infodemic on French Red Cross Actors’ Field Engagement and Protective Behaviors: Mixed Methods Study. JMIR Infodemiology 2021;1(1):e27472 View
- Magazzino C, Mele M, Coccia M. A machine learning algorithm to analyse the effects of vaccination on COVID-19 mortality. Epidemiology and Infection 2022;150 View
- Guo D, Zhao Q, Chen Q, Wu J, Li L, Gao H. Comparison between sentiments of people from affected and non-affected regions after the flood. Geomatics, Natural Hazards and Risk 2021;12(1):3346 View
- Koren A, Alam M, Koneru S, DeVito A, Abdallah L, Liu B. Nursing Perspectives on the Impacts of COVID-19: Social Media Content Analysis. JMIR Formative Research 2021;5(12):e31358 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
- Ilbeigipour S, Albadvi A, Akhondzadeh Noughabi E. Cluster-based analysis of COVID-19 cases using self-organizing map neural network and K-means methods to improve medical decision-making. Informatics in Medicine Unlocked 2022;32:101005 View
- Oliveira F, Haque A, Mougouei D, Evans S, Sichman J, Singh M. Investigating the Emotional Response to COVID-19 News on Twitter: A Topic Modeling and Emotion Classification Approach. IEEE Access 2022;10:16883 View
- Farahat R, Yassin M, Al-Tawfiq J, Bejan C, Abdelazeem B. Public perspectives of monkeypox in Twitter: A social media analysis using machine learning. New Microbes and New Infections 2022;49-50:101053 View
- Arce-García S, Díaz-Campo J, Cambronero-Saiz B. Online hate speech and emotions on Twitter: a case study of Greta Thunberg at the UN Climate Change Conference COP25 in 2019. Social Network Analysis and Mining 2023;13(1) View
- Sarirete A. Sentiment analysis tracking of COVID-19 vaccine through tweets. Journal of Ambient Intelligence and Humanized Computing 2023;14(11):14661 View
- Ritschl V, Eibensteiner F, Mosor E, Omara M, Sperl L, Nawaz F, Siva Sai C, Cenanovic M, Devkota H, Hribersek M, De R, Klager E, Schaden E, Kletecka-Pulker M, Völkl-Kernstock S, Willschke H, Aufricht C, Atanasov A, Stamm T. Mandatory Vaccination Against COVID-19: Twitter Poll Analysis on Public Health Opinion. JMIR Formative Research 2022;6(6):e35754 View
- Nakanishi M, Sakai M, Takagi G, Toshi K, Wakashima K, Yoshii H. The Association Between COVID-19 Information Sources and Stigma Against Health Care Workers Among College Students: Cross-sectional, Observational Study. JMIR Formative Research 2022;6(7):e35806 View
- Winter R, Lavis A. The Impact of COVID-19 on Young People’s Mental Health in the UK: Key Insights from Social Media Using Online Ethnography. International Journal of Environmental Research and Public Health 2021;19(1):352 View
- Michailidis P. Visualizing Social Media Research in the Age of COVID-19. Information 2022;13(8):372 View
- 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
- Rezapour M, Elmshaeuser S, Vellido A. Artificial intelligence-based analytics for impacts of COVID-19 and online learning on college students’ mental health. PLOS ONE 2022;17(11):e0276767 View
- Casillano N. Discovering Sentiments and Latent Themes in the Views of Faculty Members towards the Shift from Conventional to Online Teaching Using VADER and Latent Dirichlet Allocation. International Journal of Information and Education Technology 2022;12(4):290 View
- 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
- 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
- Shi J, Li W, Yongchareon S, Yang Y, Bai Q. Graph-based joint pandemic concern and relation extraction on Twitter. Expert Systems with Applications 2022;195:116538 View
- Wang H, Sun K, Wang Y. Exploring the Chinese Public’s Perception of Omicron Variants on Social Media: LDA-Based Topic Modeling and Sentiment Analysis. International Journal of Environmental Research and Public Health 2022;19(14):8377 View
- Li W, Deng X, Shao H, Wang X. Deep Learning Applications for COVID-19 Analysis: A State-of-the-Art Survey. Computer Modeling in Engineering & Sciences 2021;129(1):65 View
- Sitaula C, Basnet A, Mainali A, Shahi T, G T. Deep Learning‐Based Methods for Sentiment Analysis on Nepali COVID‐19‐Related Tweets. Computational Intelligence and Neuroscience 2021;2021(1) View
- Baird A, Xia Y, Cheng Y. Consumer perceptions of telehealth for mental health or substance abuse: a Twitter-based topic modeling analysis. JAMIA Open 2022;5(2) View
- Chin H, Lima G, Shin M, Zhunis A, Cha C, Choi J, Cha M. User-Chatbot Conversations During the COVID-19 Pandemic: Study Based on Topic Modeling and Sentiment Analysis. Journal of Medical Internet Research 2023;25:e40922 View
- AL-Ahdal T, Coker D, Awad H, Reda A, Żuratyński P, Khailaie S. Improving Public Health Policy by Comparing the Public Response during the Start of COVID-19 and Monkeypox on Twitter in Germany: A Mixed Methods Study. Vaccines 2022;10(12):1985 View
- Huang Y, Liu H, Zhang L, Li S, Wang W, Ren Z, Zhou Z, Ma X. The Psychological and Behavioral Patterns of Online Psychological Help-Seekers before and during COVID-19 Pandemic: A Text Mining-Based Longitudinal Ecological Study. International Journal of Environmental Research and Public Health 2021;18(21):11525 View
- Wong J, Yang J, Liu Z. It’s the Thoughts That Count: How Psychological Distance and Affect Heuristic Influence Support for Aid Response Measures During the COVID-19 Pandemic. Health Communication 2023;38(12):2702 View
- Aritenang A. Evaluating city-scale urban mobility restriction in Jakarta due to the COVID-19 pandemic: the impact on subjective wellbeing. Urban, Planning and Transport Research 2021;9(1):519 View
- Cabrera-Barona P, Barragán-Ochoa F, Carrión A, Valdez F, López-Sandoval M. Emociones, espacio público e imágenes urbanas en el contexto de COVID-19. Universitas 2022;(36):149 View
- ASLAN S. BiGRU-CNN Tabanlı Derin Öğrenme Modeliyle Türkiye’deki Covid-19 Aşılarına Yönelik Twitter Duygu Analizi. International Journal of Pure and Applied Sciences 2022;8(2):312 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
- Mir A, Rathinam S, Gul S. Public perception of COVID-19 vaccines from the digital footprints left on Twitter: analyzing positive, neutral and negative sentiments of Twitterati. Library Hi Tech 2022;40(2):340 View
- Teague S, Shatte A, Weller E, Fuller-Tyszkiewicz M, Hutchinson D. Methods and Applications of Social Media Monitoring of Mental Health During Disasters: Scoping Review. JMIR Mental Health 2022;9(2):e33058 View
- Jiang H, Castellanos A, Castillo A, Gomes P, Li J, VanderMeer D. Nurses’ Work Concerns and Disenchantment During the COVID-19 Pandemic: Machine Learning Analysis of Web-Based Discussions. JMIR Nursing 2023;6:e40676 View
- Gille F, Smith S, Mays N. Evidence-based guiding principles to build public trust in personal data use in health systems. DIGITAL HEALTH 2022;8:205520762211119 View
- Chiang Y, Chu M, Lin S, Cai X, Chen Q, Wang H, Li A, Rui J, Zhang X, Xie F, Lee C, Chen T. Capturing the Trajectory of Psychological Status and Analyzing Online Public Reactions During the Coronavirus Disease 2019 Pandemic Through Weibo Posts in China. Frontiers in Psychology 2021;12 View
- 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
- Al-Qerem W, Al Bawab A, Hammad A, Ling J, Alasmari F. Willingness of the Jordanian Population to Receive a COVID-19 Booster Dose: A Cross-Sectional Study. Vaccines 2022;10(3):410 View
- 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
- Cano-Marin E, Mora-Cantallops M, Sanchez-Alonso S. The power of big data analytics over fake news: A scientometric review of Twitter as a predictive system in healthcare. Technological Forecasting and Social Change 2023;190:122386 View
- Bastani P, Hakimzadeh S, Bahrami M. Designing a conceptual framework for misinformation on social media: a qualitative study on COVID-19. BMC Research Notes 2021;14(1) View
- Madni H, Umer M, Abuzinadah N, Hu Y, Saidani O, Alsubai S, Hamdi M, Ashraf I. Improving Sentiment Prediction of Textual Tweets Using Feature Fusion and Deep Machine Ensemble Model. Electronics 2023;12(6):1302 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
- Etta G, Galeazzi A, Hutchings J, James Smith C, Conti M, Quattrociocchi W, Riva G, Jalloh M. COVID-19 infodemic on Facebook and containment measures in Italy, United Kingdom and New Zealand. PLOS ONE 2022;17(5):e0267022 View
- Yum S. The COVID-19 Response in North America. Disaster Medicine and Public Health Preparedness 2023;17 View
- Russell P, Frackowiak M, Cohen-Chen S, Rusconi P, Fasoli F. Induced gratitude and hope, and experienced fear, but not experienced disgust, facilitate COVID-19 prevention. Cognition and Emotion 2023;37(2):196 View
- Blanco G, Lourenço A. Optimism and pessimism analysis using deep learning on COVID-19 related twitter conversations. Information Processing & Management 2022;59(3):102918 View
- Sinha C, Meheli S, Kadaba M. Understanding Digital Mental Health Needs and Usage With an Artificial Intelligence–Led Mental Health App (Wysa) During the COVID-19 Pandemic: Retrospective Analysis. JMIR Formative Research 2023;7:e41913 View
- Hammad A, Al-Qerem W, Abu Zaid A, Khdair S, Hall F. Misconceptions Related to COVID 19 Vaccines Among the Jordanian Population: Myth and Public Health. Disaster Medicine and Public Health Preparedness 2023;17 View
- Martínez-Martínez F, Roldán-Álvarez D, Martín E, Hoppe H. An analytics approach to health and healthcare in citizen science communications on Twitter. DIGITAL HEALTH 2023;9 View
- Fang H, Xu G, Long Y, Tang W. An Effective ELECTRA-Based Pipeline for Sentiment Analysis of Tourist Attraction Reviews. Applied Sciences 2022;12(21):10881 View
- Chang V, Ng C, Xu Q, Guizani M, Hossain M. How Do People View COVID-19 Vaccines. Journal of Global Information Management 2022;30(10):1 View
- Xavier T, Lambert J. Sentiment and emotion trends in nurses' tweets about the COVID‐19 pandemic. Journal of Nursing Scholarship 2022;54(5):613 View
- Wang A, Lan J, Wang M, Yu C. The Evolution of Rumors on a Closed Social Networking Platform During COVID-19: Algorithm Development and Content Study. JMIR Medical Informatics 2021;9(11):e30467 View
- Yang J, Liu Z, Wong J. Information seeking and information sharing during the COVID-19 pandemic. Communication Quarterly 2022;70(1):1 View
- Alqarni A, Rahman A. Arabic Tweets-Based Sentiment Analysis to Investigate the Impact of COVID-19 in KSA: A Deep Learning Approach. Big Data and Cognitive Computing 2023;7(1):16 View
- Liu Z, Yang J. Public Support for COVID-19 Responses: Cultural Cognition, Risk Perception, and Emotions. Health Communication 2023;38(4):648 View
- Delmelle E, Desjardins M, Jung P, Owusu C, Lan Y, Hohl A, Dony C. Uncertainty in geospatial health: challenges and opportunities ahead. Annals of Epidemiology 2022;65:15 View
- Jun J, Zain A, Chen Y, Kim S. Adverse Mentions, Negative Sentiment, and Emotions in COVID-19 Vaccine Tweets and Their Association with Vaccination Uptake: Global Comparison of 192 Countries. Vaccines 2022;10(5):735 View
- 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
- Nia Z, Asgary A, Bragazzi N, Mellado B, Orbinski J, Wu J, Kong J. Nowcasting unemployment rate during the COVID-19 pandemic using Twitter data: The case of South Africa. Frontiers in Public Health 2022;10 View
- Rustam F, Khalid M, Aslam W, Rupapara V, Mehmood A, Choi G, Mumtaz W. A performance comparison of supervised machine learning models for Covid-19 tweets sentiment analysis. PLOS ONE 2021;16(2):e0245909 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
- 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
- Zhou X, Li Y. Forecasting the COVID-19 vaccine uptake rate: an infodemiological study in the US. Human Vaccines & Immunotherapeutics 2022;18(1) 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
- Lim S, Ng Q, Xin X, Lim Y, Boon E, Liew T. Public Discourse Surrounding Suicide during the COVID-19 Pandemic: An Unsupervised Machine Learning Analysis of Twitter Posts over a One-Year Period. International Journal of Environmental Research and Public Health 2022;19(21):13834 View
- Daghriri T, Proctor M, Matthews S. Evolution of Select Epidemiological Modeling and the Rise of Population Sentiment Analysis: A Literature Review and COVID-19 Sentiment Illustration. International Journal of Environmental Research and Public Health 2022;19(6):3230 View
- Muis K, Sinatra G, Pekrun R, Kendeou P, Mason L, Jacobson N, Van Tilburg W, Orcutt E, Zaccoletti S, Losenno K. Flattening the COVID-19 curve: Emotions mediate the effects of a persuasive message on preventive action. Frontiers in Psychology 2022;13 View
- Gao H, Zhao Q, Ning C, Guo D, Wu J, Li L. Does the COVID-19 Vaccine Still Work That “Most of the Confirmed Cases Had Been Vaccinated”? A Content Analysis of Vaccine Effectiveness Discussion on Sina Weibo during the Outbreak of COVID-19 in Nanjing. International Journal of Environmental Research and Public Health 2021;19(1):241 View
- Atabekova A, Lutskovskaia L, Kalashnikova E. Axiology of Covid-19 as a linguistic phenomenon. Journal of Information Science 2024;50(1):245 View
- Cai M, Luo H, Meng X, Cui Y, Wang W. Network distribution and sentiment interaction: Information diffusion mechanisms between social bots and human users on social media. Information Processing & Management 2023;60(2):103197 View
- Chai C. Comparison of text preprocessing methods. Natural Language Engineering 2023;29(3):509 View
- Benis A, Chatsubi A, Levner E, Ashkenazi S. Change in Threads on Twitter Regarding Influenza, Vaccines, and Vaccination During the COVID-19 Pandemic: Artificial Intelligence–Based Infodemiology Study. JMIR Infodemiology 2021;1(1):e31983 View
- Vyas P, Reisslein M, Rimal B, Vyas G, Basyal G, Muzumdar P. Automated Classification of Societal Sentiments on Twitter With Machine Learning. IEEE Transactions on Technology and Society 2022;3(2):100 View
- Nash C. Fear-Responses to Bat-Originating Coronavirus Pandemics with Respect to Quarantines Gauged in Relation to Postmodern Thought—Implications and Recommendations. COVID 2022;2(10):1303 View
- Vernikou S, Lyras A, Kanavos A. Multiclass sentiment analysis on COVID-19-related tweets using deep learning models. Neural Computing and Applications 2022;34(22):19615 View
- Gao J, Guo Y, Ademu L. Associations between Public Fear of COVID-19 and Number of COVID-19 Vaccinations: A County-Level Longitudinal Analysis. Vaccines 2022;10(9):1422 View
- 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
- Baj-Rogowska A. Mapping of the Covid-19 Vaccine Uptake Determinants From Mining Twitter Data. IEEE Access 2021;9:134929 View
- Hossain M, Asadullah M, Rahaman A, Miah M, Hasan M, Paul T, Hossain M. Prediction on Domestic Violence in Bangladesh during the COVID-19 Outbreak Using Machine Learning Methods. Applied System Innovation 2021;4(4):77 View
- Karami A, Zhu M, Goldschmidt B, Boyajieff H, Najafabadi M. COVID-19 Vaccine and Social Media in the U.S.: Exploring Emotions and Discussions on Twitter. Vaccines 2021;9(10):1059 View
- Sheng X, Huo W, Zhang C, Zhang X, Han Y. A paper quality and comment consistency detection model based on feature dimensionality reduction. Alexandria Engineering Journal 2022;61(12):10395 View
- Pan W, Han Y, Li J, Zhang E, He B. The positive energy of netizens: development and application of fine-grained sentiment lexicon and emotional intensity model. Current Psychology 2023;42(32):27901 View
- Mathayomchan B, Taecharungroj V, Wattanacharoensil W. Evolution of COVID-19 tweets about Southeast Asian Countries: topic modelling and sentiment analyses. Place Branding and Public Diplomacy 2023;19(3):317 View
- Greyling T, Rossouw S, Gesser-Edelsburg A. Positive attitudes towards COVID-19 vaccines: A cross-country analysis. PLOS ONE 2022;17(3):e0264994 View
- León-Sandoval E, Zareei M, Barbosa-Santillán L, Falcón Morales L. Measuring the Impact of Language Models in Sentiment Analysis for Mexico’s COVID-19 Pandemic. Electronics 2022;11(16):2483 View
- Kendrick K, Isaac M. Overview of behavioural and psychological consequences of COVID 19. Current Opinion in Psychiatry 2021;34(5):477 View
- Ntompras C, Drosatos G, Kaldoudi E. A high-resolution temporal and geospatial content analysis of Twitter posts related to the COVID-19 pandemic. Journal of Computational Social Science 2022;5(1):687 View
- 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
- Egger R, Yu J. A Topic Modeling Comparison Between LDA, NMF, Top2Vec, and BERTopic to Demystify Twitter Posts. Frontiers in Sociology 2022;7 View
- Benítez-Andrades J, García-Ordás M, Russo M, Sakor A, Fernandes Rotger L, Vidal M, Kondylakis H, Rao P, Stefanidis K. Empowering machine learning models with contextual knowledge for enhancing the detection of eating disorders in social media posts. Semantic Web 2023;14(5):873 View
- Malakar K, Majumder P, Lu C. Twitterati on COVID-19 pandemic-environment linkage: Insights from mining one year of tweets. Environmental Development 2023;46:100835 View
- He S, Li D, Liu C, Xiong Y, Liu D, Feng J, Wen J, Napoli C. Crisis communication in the WHO COVID-19 press conferences: A retrospective analysis. PLOS ONE 2023;18(3):e0282855 View
- Tanner A, Di Cara N, Maggio V, Thomas R, Boyd A, Sloan L, Al Baghal T, Macleod J, Haworth C, Davis O. Epicosm—a framework for linking online social media in epidemiological cohorts. International Journal of Epidemiology 2023;52(3):952 View
- Davidson P, Muniandy T, Karmegam D. Perception of COVID-19 vaccination among Indian Twitter users: computational approach. Journal of Computational Social Science 2023;6(2):541 View
- Czeranowska O, Chlasta K, Miłkowski P, Grabowska I, Kocoń J, Hwaszcz K, Wieczorek J, Jastrzębowska A. Migrants vs. stayers in the pandemic – A sentiment analysis of Twitter content. Telematics and Informatics Reports 2023;10:100059 View
- Xue J, Zhang B, Zhang Q, Hu R, Jiang J, Liu N, Peng Y, Li Z, Logan J. Using Twitter-Based Data for Sexual Violence Research: Scoping Review. Journal of Medical Internet Research 2023;25:e46084 View
- Laureate C, Buntine W, Linger H. A systematic review of the use of topic models for short text social media analysis. Artificial Intelligence Review 2023;56(12):14223 View
- Clark S, Lomax N. Using e-petition data to quantify public concerns during the COVID-19 pandemic: a case study of England. Policy Studies 2024;45(2):159 View
- Ciolfi Felice M, Søndergaard M, Balaam M. Analyzing User Reviews of the First Digital Contraceptive: Mixed Methods Study. Journal of Medical Internet Research 2023;25:e47131 View
- Segev E. Sharing Feelings and User Engagement on Twitter: It’s All About Me and You. Social Media + Society 2023;9(2) View
- Wang H, Wang X. Sentiment analysis of tweets and government translations: Assessing China’s post-COVID-19 landscape for signs of withering or booming. Global Media and China 2023;8(2):213 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
- Akande O, Lawrence M, Ogedebe P. Application of bidirectional LSTM deep learning technique for sentiment analysis of COVID-19 tweets: post-COVID vaccination era. Journal of Electrical Systems and Information Technology 2023;10(1) View
- 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
- 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
- Oliveira F, Mougouei D, Haque A, Sichman J, Dam H, Evans S, Ghose A, Singh M. Beyond fear and anger: A global analysis of emotional response to Covid-19 news on Twitter. Online Social Networks and Media 2023;36:100253 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
- Aslan S. A deep learning-based sentiment analysis approach (MF-CNN-BILSTM) and topic modeling of tweets related to the Ukraine–Russia conflict. Applied Soft Computing 2023;143:110404 View
- Çiçek Korkmaz A. Public’s perception on nursing education during the COVID-19 pandemic: SENTIMENT analysis of Twitter data. International Journal of Disaster Risk Reduction 2023;99:104127 View
- Guo L, Wang W, Wu Y. What Do Scholars Propose for Future COVID-19 Research in Academic Publications? A Topic Analysis Based on Autoencoder. SAGE Open 2023;13(2) 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
- Kassen M. Curbing the COVID-19 digital infodemic: strategies and tools. Journal of Public Health Policy 2023;44(4):643 View
- Arazzi M, Murer D, Nicolazzo S, Nocera A. How COVID-19 affects user interaction with online streaming service providers on twitter. Social Network Analysis and Mining 2023;13(1) View
- 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
- 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
- Huang X, Zhou Y, Du Y. A Novel Bi-Dual Inference Approach for Detecting Six-Element Emotions. Applied Sciences 2023;13(17):9957 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
- Marres N, Colombo G, Bounegru L, Gray J, Gerlitz C, Tripp J. Testing and Not Testing for Coronavirus on Twitter: Surfacing Testing Situations Across Scales With Interpretative Methods. Social Media + Society 2023;9(3) View
- Dong L, Liu Y. Frontiers of policy and governance research in a smart city and artificial intelligence: an advanced review based on natural language processing. Frontiers in Sustainable Cities 2023;5 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
- Córdova-Palomera A, Siffel C, DeBoever C, Wong E, Diogo D, Szalma S, Ulgen A. Assessing the potential of polygenic scores to strengthen medical risk prediction models of COVID-19. PLOS ONE 2023;18(5):e0285991 View
- 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
- Saleh S, McDonald S, Basit M, Kumar S, Arasaratnam R, Perl T, Lehmann C, Medford R. Public perception of COVID-19 vaccines through analysis of Twitter content and users. Vaccine 2023;41(33):4844 View
- Andreu-Sánchez C, Martín-Pascual M. Positive and Negative Affect Schedule in early COVID-19 pandemic. Scientific Data 2023;10(1) View
- Cooper J, Theivendrampillai S, Lee T, Marquez C, Lau M, Straus S, Fahim C. Exploring perceptions and experiences of stigma in Canada during the COVID-19 pandemic: a qualitative study. BMC Global and Public Health 2023;1(1) 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 2023:100361 View
- Terry K, Yang F, Yao Q, Liu C. The role of social media in public health crises caused by infectious disease: a scoping review. BMJ Global Health 2023;8(12):e013515 View
- Doğan B, Balcioglu Y, Elçi M. Multidimensional sentiment analysis method on social media data: comparison of emotions during and after the COVID-19 pandemic. Kybernetes 2024 View
- Nguyen A, Longa A, Luca M, Kaul J, Lopez G. Emotion Analysis Using Multilayered Networks for Graphical Representation of Tweets. IEEE Access 2022;10:99467 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
- Jeyaraj S, T. R. Covid based question criticality prediction with domain adaptive BERT embeddings. Engineering Applications of Artificial Intelligence 2024;132:107913 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
- Cheung L, Lau A, Lam K, Ng P. A Review of Environmental Factors for an Ontology-Based Risk Analysis for Pandemic Spread. COVID 2024;4(4):466 View
- Whitfield C, Liu Y, Anwar M. Impact of COVID-19 Pandemic on Social Determinants of Health Issues of Marginalized Black and Asian Communities: A Social Media Analysis Empowered by Natural Language Processing. Journal of Racial and Ethnic Health Disparities 2024 View
- Chepo M, Martin S, Déom N, Khalid A, Vindrola-Padros C. Twitter Analysis of Health Care Workers’ Sentiment and Discourse Regarding Post–COVID-19 Condition in Children and Young People: Mixed Methods Study. Journal of Medical Internet Research 2024;26:e50139 View
- Muis K, Kendeou P, Kohatsu M, Wang S. “Let’s get back to normal”: emotions mediate the effects of persuasive messages on willingness to vaccinate for COVID-19. Frontiers in Public Health 2024;12 View
- Xue J, Shier M, Chen J, Wang Y, Zheng C, Chen C. A Typology of Social Media Use by Human Service Nonprofits: Mixed Methods Study. Journal of Medical Internet Research 2024;26:e51698 View
- Chatzimina M, Papadaki H, Pontikoglou C, Tsiknakis M. A Comparative Sentiment Analysis of Greek Clinical Conversations Using BERT, RoBERTa, GPT-2, and XLNet. Bioengineering 2024;11(6):521 View
- Gencoglu O. Large-Scale, Language-Agnostic Discourse Classification of Tweets During COVID-19. Machine Learning and Knowledge Extraction 2020;2(4):603 View
- Ariza-Colpas P, Piñeres-Melo M, Urina-Triana M, Barceló-Martinez E, Barceló-Castellanos C, Roman F. Machine Learning Applied to the Analysis of Prolonged COVID Symptoms: An Analytical Review. Informatics 2024;11(3):48 View
- Sarracino F, Greyling T, O'Connor K, Peroni C, Rossouw S. Trust predicts compliance with COVID-19 containment policies: Evidence from ten countries using big data. Economics & Human Biology 2024;54:101412 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
- Ignaccolo C, Wibisono K, Sutto M, Plunz R. Tweeting during the Pandemic in New York City: Unveiling the Evolving Sentiment Landscape of NYC through a Spatiotemporal Analysis of Geolocated Tweets. Journal of Urban Technology 2024:1 View
- Mirzaei T, Amini L, Esmaeilzadeh P. Clinician voices on ethics of LLM integration in healthcare: a thematic analysis of ethical concerns and implications. BMC Medical Informatics and Decision Making 2024;24(1) View
- Merayo N, Ayuso-Lanchares A, González-Sanguino C. Machine learning and natural language processing to assess the emotional impact of influencers’ mental health content on Instagram. PeerJ Computer Science 2024;10:e2251 View
- Sharma A, Verbeke W. Influence of gender dimorphism on audience engagement in podcasts: a machine learning analysis of dynamic affective linguistic and paralinguistic features. Frontiers in Communication 2024;9 View
Books/Policy Documents
- Ganguly C, Nayak S, Gupta A. Artificial Intelligence, Machine Learning, and Mental Health in Pandemics. View
- Tan A, Estuar M, Co N, Tan H, Abao R, Aureus J. Social Computing and Social Media: Design, User Experience and Impact. View
- Esparza J, Bejarano G, Ramesh A, Seetharam A. Computational Data and Social Networks. View
- Ghosal A, Gupta N, Nandi E, Somolu H. Artificial Intelligence and Machine Learning Methods in COVID-19 and Related Health Diseases. View
- Kovalchuk O, Slobodzian V, Sobko O, Molchanova M, Mazurets O, Barmak O, Krak I, Savina N. Lecture Notes in Data Engineering, Computational Intelligence, and Decision Making. View
- Mallikarjuna B, D. J. A, M. S, Sabharwal M. Handbook of Research on Advances in Data Analytics and Complex Communication Networks. View
- Dhandapani A, Balasubramaniam A, Balasubramaniam T, Paul A. Machine Intelligence and Data Science Applications. View
- Utsu K, Yagi N, Fukushima A, Takemori Y, Okazaki A, Uchida O. Information Technology in Disaster Risk Reduction. View
- Yuan K, Zhang M. Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. View
- Dhir K, Singh P, Dwivedi Y, Sawhney S, Sawhney R. Co-creating for Context in the Transfer and Diffusion of IT. View
- Apolinario-Arzube O, García-Díaz J, Roldán D, Prieto-González L, Casal G, Valencia-García R. Technologies and Innovation. View
- Dzitac D. Data Science in Applications. View
- Kaur J, Patel S, Vasani M, Saini J. Advances in Information Communication Technology and Computing. View
- Morgan M, Kulkarni A. Social Computing and Social Media. View
- Vasileiou E, Koutrakos P. Data Analytics for Management, Banking and Finance. View
- Tekumalla R, Banda J. HCI International 2023 – Late Breaking Papers. View
- Osop H, Wong J, Lwin S, Lee C. Leveraging Generative Intelligence in Digital Libraries: Towards Human-Machine Collaboration. View
- Gyftopoulos S, Drosatos G, Pecchia L, Fico G, Kaldoudi E. MEDICON’23 and CMBEBIH’23. View
- Jafari A, Farahbakhsh R, Salehi M, Crespi N. Proceedings of Data Analytics and Management. View
- Kędzierska M, Spytek M, Kurek M, Sawicki J, Ganzha M, Paprzycki M. Big Data Analytics in Astronomy, Science, and Engineering. View
- Rossouw S, Greyling T. Resistance to COVID-19 Vaccination. View