Published on in Vol 3, No 2 (2017): Apr-Jun
Journals
- Jia S. Leisure Motivation and Satisfaction: A Text Mining of Yoga Centres, Yoga Consumers, and Their Interactions. Sustainability 2018;10(12):4458 View
- Khatua A, Khatua A, Cambria E. A tale of two epidemics: Contextual Word2Vec for classifying twitter streams during outbreaks. Information Processing & Management 2019;56(1):247 View
- Jia S. Motivation and satisfaction of Chinese and U.S. tourists in restaurants: A cross-cultural text mining of online reviews. Tourism Management 2020;78:104071 View
- López-Goñi I, Sánchez-Angulo M. Social networks as a tool for science communication and public engagement: focus on Twitter. FEMS Microbiology Letters 2018;365(2) View
- Gianfredi V, Bragazzi N, Nucci D, Martini M, Rosselli R, Minelli L, Moretti M. Harnessing Big Data for Communicable Tropical and Sub-Tropical Disorders: Implications From a Systematic Review of the Literature. Frontiers in Public Health 2018;6 View
- Chang Y, Chiang W, Wang W, Lin C, Hung L, Tsai Y, Chen Y. Assessing Epidemic Diseases and Public Opinion through Popular Search Behavior Using Non-English Language Google Trends (Preprint). JMIR Public Health and Surveillance 2018 View
- Saura J, Reyes-Menendez A, Thomas S. Gaining a deeper understanding of nutrition using social networks and user-generated content. Internet Interventions 2020;20:100312 View
- Mamidi R, Miller M, Banerjee T, Romine W, Sheth A. Identifying Key Topics Bearing Negative Sentiment on Twitter: Insights Concerning the 2015-2016 Zika Epidemic. JMIR Public Health and Surveillance 2019;5(2):e11036 View
- Cook N, Mullins A, Gautam R, Medi S, Prince C, Tyagi N, Kommineni J. Evaluating Patient Experiences in Dry Eye Disease Through Social Media Listening Research. Ophthalmology and Therapy 2019;8(3):407 View
- Wang S, Patterson O, Gagne J, Brown J, Ball R, Jonsson P, Wright A, Zhou L, Goettsch W, Bate A. Transparent Reporting on Research Using Unstructured Electronic Health Record Data to Generate ‘Real World’ Evidence of Comparative Effectiveness and Safety. Drug Safety 2019;42(11):1297 View
- Valente P, Morin C, Roy M, Mercier A, Atlani-Duault L. Sexual transmission of Zika virus on Twitter: A depoliticised epidemic. Global Public Health 2020;15(11):1689 View
- Albalawi Y, Nikolov N, Buckley J. Trustworthy Health-Related Tweets on Social Media in Saudi Arabia: Tweet Metadata Analysis. Journal of Medical Internet Research 2019;21(10):e14731 View
- Deiner M, Fathy C, Kim J, Niemeyer K, Ramirez D, Ackley S, Liu F, Lietman T, Porco T. Facebook and Twitter vaccine sentiment in response to measles outbreaks. Health Informatics Journal 2019;25(3):1116 View
- Blbas H, Aziz K, Nejad S, Barzinjy A. Phenomenon of depression and anxiety related to precautions for prevention among population during the outbreak of COVID-19 in Kurdistan Region of Iraq: based on questionnaire survey. Journal of Public Health 2022;30(3):567 View
- Jia S. Toward a better fitness club: Evidence from exerciser online rating and review using latent Dirichlet allocation and support vector machine. International Journal of Market Research 2019;61(1):64 View
- Herrera-Peco I, de la Torre-Montero J. Preface of Special Issue “Cares in the Age of Communication: Health Education and Healthy Lifestyles”: Social Media and Health Communication in a Pandemic?. European Journal of Investigation in Health, Psychology and Education 2020;10(2):575 View
- Krittanawong C, Narasimhan B, Virk H, Narasimhan H, Hahn J, Wang Z, Tang W. Misinformation Dissemination in Twitter in the COVID-19 Era. The American Journal of Medicine 2020;133(12):1367 View
- Chen T, Dredze M. Vaccine Images on Twitter: Analysis of What Images are Shared. Journal of Medical Internet Research 2018;20(4):e130 View
- Barata G, Shores K, Alperin J, Emmert-Streib F. Local chatter or international buzz? Language differences on posts about Zika research on Twitter and Facebook. PLOS ONE 2018;13(1):e0190482 View
- Pruss D, Fujinuma Y, Daughton A, Paul M, Arnot B, Albers Szafir D, Boyd-Graber J, Xia F. Zika discourse in the Americas: A multilingual topic analysis of Twitter. PLOS ONE 2019;14(5):e0216922 View
- Safarnejad L, Xu Q, Ge Y, Bagavathi A, Krishnan S, Chen S. Identifying Influential Factors in the Discussion Dynamics of Emerging Health Issues on Social Media: Computational Study. JMIR Public Health and Surveillance 2020;6(3):e17175 View
- Chen S, Xu Q, Buchenberger J, Bagavathi A, Fair G, Shaikh S, Krishnan S. Dynamics of Health Agency Response and Public Engagement in Public Health Emergency: A Case Study of CDC Tweeting Patterns During the 2016 Zika Epidemic. JMIR Public Health and Surveillance 2018;4(4):e10827 View
- Mavragani A. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206 View
- Chang Y, Chiang W, Wang W, Lin C, Hung L, Tsai Y, Suen J, Chen Y. Google Trends-based non-English language query data and epidemic diseases: a cross-sectional study of the popular search behaviour in Taiwan. BMJ Open 2020;10(7):e034156 View
- Barata G, Shores K, Alperin J. Local Chatter or International Buzz? Language Differences on Posts About Zika Research on Twitter and Facebook. SSRN Electronic Journal 2017 View
- Daughton A, Paul M. Identifying Protective Health Behaviors on Twitter: Observational Study of Travel Advisories and Zika Virus. Journal of Medical Internet Research 2019;21(5):e13090 View
- Zhang J, Chen Y, Zhao Y, Wolfram D, Ma F. Public health and social media: A study of Zika virus‐related posts on Yahoo! Answers. Journal of the Association for Information Science and Technology 2020;71(3):282 View
- Roy M, Moreau N, Rousseau C, Mercier A, Wilson A, Atlani-Duault L. Ebola and Localized Blame on Social Media: Analysis of Twitter and Facebook Conversations During the 2014–2015 Ebola Epidemic. Culture, Medicine, and Psychiatry 2020;44(1):56 View
- Park H, Jung H, On J, Park S, Kang H. Digital Epidemiology: Use of Digital Data Collected for Non-epidemiological Purposes in Epidemiological Studies. Healthcare Informatics Research 2018;24(4):253 View
- Masri S, Jia J, Li C, Zhou G, Lee M, Yan G, Wu J. Use of Twitter data to improve Zika virus surveillance in the United States during the 2016 epidemic. BMC Public Health 2019;19(1) View
- Saura J, Palos-Sanchez P, Grilo A. Detecting Indicators for Startup Business Success: Sentiment Analysis Using Text Data Mining. Sustainability 2019;11(3):917 View
- Paul M, Dredze M. Social Monitoring for Public Health. Synthesis Lectures on Information Concepts, Retrieval, and Services 2017;9(5):1 View
- Wicke P, Bolognesi M, Athanasopoulos P. Framing COVID-19: How we conceptualize and discuss the pandemic on Twitter. PLOS ONE 2020;15(9):e0240010 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
- Heyerdahl L, Vray M, Leger V, Le Fouler L, Antouly J, Troit V, Giles-Vernick T. Evaluating the motivation of Red Cross Health volunteers in the COVID-19 pandemic: a mixed-methods study protocol. BMJ Open 2021;11(1):e042579 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
- 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
- Amara A, Hadj Taieb M, Ben Aouicha M. Multilingual topic modeling for tracking COVID-19 trends based on Facebook data analysis. Applied Intelligence 2021;51(5):3052 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
- Jia S, Wu B, Zhou S. Topic modelling and opinion mining of user generated content on the internet using machine learning: An analysis of postpartum care centres in Shanghai. Journal of Intelligent & Fuzzy Systems 2021;41(3):4661 View
- Alvarez-Galvez J, Suarez-Lledo V, Rojas-Garcia A. Determinants of Infodemics During Disease Outbreaks: A Systematic Review. Frontiers in Public Health 2021;9 View
- AGRAWAL A, GUPTA A. The Utility of Social Media during an Emerging Infectious Diseases Crisis: A Systematic Review of Literature. Journal of Microbiology and Infectious Diseases 2020:188 View
- Ke Q, Du J, Ji L. Toward a conceptual framework of health crisis information needs: an analysis of COVID-19 questions in a Chinese social Q&A website. Journal of Documentation 2021;77(4):851 View
- Shahi G, Dirkson A, Majchrzak T. An exploratory study of COVID-19 misinformation on Twitter. Online Social Networks and Media 2021;22:100104 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
- Chowdhury N, Khalid A, Turin T. Understanding misinformation infodemic during public health emergencies due to large-scale disease outbreaks: a rapid review. Journal of Public Health 2023;31(4):553 View
- Jia S. Analyzing Restaurant Customers’ Evolution of Dining Patterns and Satisfaction during COVID-19 for Sustainable Business Insights. Sustainability 2021;13(9):4981 View
- Shah A, Naqvi R, Jeong O. Detecting Topic and Sentiment Trends in Physician Rating Websites: Analysis of Online Reviews Using 3-Wave Datasets. International Journal of Environmental Research and Public Health 2021;18(9):4743 View
- Miller M, Romine W, Oroszi T. Public Discussion of Anthrax on Twitter: Using Machine Learning to Identify Relevant Topics and Events. JMIR Public Health and Surveillance 2021;7(6):e27976 View
- Fairie P, Zhang Z, D'Souza A, Walsh T, Quan H, Santana M. Categorising patient concerns using natural language processing techniques. BMJ Health & Care Informatics 2021;28(1):e100274 View
- Zahid S, Shams Malick R, Sagri M. Network Dynamics of COVID-19 Fake and True News Diffusion Networks. Journal of Information & Knowledge Management 2022;21(Supp01) View
- Bonifazi G, Corradini E, Ursino D, Virgili L. New Approaches to Extract Information From Posts on COVID-19 Published on Reddit. International Journal of Information Technology & Decision Making 2022;21(05):1385 View
- Kandasamy G, Almaghaslah D, Almanasef M, Vasudevan R, Easwaran V. An evaluation of the psychological impact of COVID‐19 and the precautionary measure of social isolation on adults in the Asir region, Saudi Arabia. International Journal of Clinical Practice 2021;75(11) View
- Zuo C, Banerjee R, Chaleshtori F, Shirazi H, Ray I. Seeing Should Probably Not Be Believing: The Role of Deceptive Support in COVID-19 Misinformation on Twitter. Journal of Data and Information Quality 2023;15(1):1 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
- Zhang G, Giachanou A, Rosso P. SceneFND: Multimodal fake news detection by modelling scene context information. Journal of Information Science 2024;50(2):355 View
- Bravo C, Castells V, Zietek-Gutsch S, Bodin P, Molony C, Frühwein M. Using social media listening and data mining to understand travellers’ perspectives on travel disease risks and vaccine-related attitudes and behaviours. Journal of Travel Medicine 2022;29(2) View
- Alshare K, Moqbel M, Merhi M. The double-edged sword of social media usage during the COVID-19 pandemic: demographical and cultural analyses. Journal of Enterprise Information Management 2023;36(1):197 View
- Recuero-Virto N, Valilla-Arróspide C. Forecasting the next revolution: food technology’s impact on consumers' acceptance and satisfaction. British Food Journal 2022;124(12):4339 View
- Nikookar S, Maleki A, Fazeli-Dinan M, Shabani Kordshouli R, Enayati A. Entomological Surveillance of the Invasive Aedes Species at Higher-Priority Entry Points in Northern Iran: Exploratory Report on a Field Study. JMIR Public Health and Surveillance 2022;8(10):e38647 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
- Burwell E, Agarwal A, Romine W. Understanding communication about the COVID-19 vaccines: analysis of emergent sentiments and topics of discussion on Twitter during the initial phase of the vaccine rollout. International Journal of Science Education, Part B 2024;14(1):18 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
- Alnashwan R, O’Riordan A, Sorensen H. Multiple-Perspective Data-Driven Analysis of Online Health Communities. Healthcare 2023;11(20):2723 View
- Sloesen B, O'Brien P, Verma H, Asaithambi S, Parashar N, Mothe R, Shaikh J, Syntosi A. Patient Experiences and Insights on Chronic Ocular Pain: Social Media Listening Study. JMIR Formative Research 2024;8:e47245 View
- Gómez Punzón J, Recuero-Virto N. The Influence of Museum User Generated Content to Improve the Experience Design. SSRN Electronic Journal 2024 View
- Recuero-Virto N, Valilla C. Forecasting the Next Revolution: Food Technology’s Impact on Consumers' Acceptance and Satisfaction. SSRN Electronic Journal 2024 View
- Melo C, Mageste L, Guaraldo L, Paula D, Wakimoto M. Use of Digital Tools in Arbovirus Surveillance: Scoping Review. Journal of Medical Internet Research 2024;26:e57476 View
- Kumble S, Diddi P, Bien-Aimé S. Understanding content dissemination on sensemaking: WHO’s social listening strategy on X during the initial phase of COVID-19. Online Media and Global Communication 2024 View
- Hoffstädt H, Verhoef M, Akkermans A, van der Steen J, Stoppelenburg A, de Vries S, de Graaf E, Teunissen S, Hartog I, van der Linden Y, Frey R. “Are you listening?”: Experiences shared online by family caregivers of patients in the palliative phase during the Covid-19-pandemic. PLOS ONE 2024;19(11):e0310624 View
Books/Policy Documents
- Kho S, Padhee S, Bajaj G, Thirunarayan K, Sheth A. Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining. View
- da Silva D, Goncalves G, dos Santos S, Pugliese V, Navas J, de Barros Santana R, Queiroz F, Dias L, da Cunha A, Tasinaffo P. Information Technology – New Generations. View
- Sheth A, Purohit H, Smith G, Brunn J, Jadhav A, Kapanipathi P, Lu C, Wang W. Encyclopedia of Social Network Analysis and Mining. View
- Sheth A, Purohit H, Smith G, Brunn J, Jadhav A, Kapanipathi P, Lu C, Wang W. Encyclopedia of Social Network Analysis and Mining. View
- Gilbert J, Niu J, de Montigny S, Ng V, Rees E. AI for Disease Surveillance and Pandemic Intelligence. View
- Recuero-Virto N. COVID-19 and a World of Ad Hoc Geographies. View
- Jabeen F, Khan F, Shah S, Ahmad B, Jabeen S. Advances in Cybersecurity, Cybercrimes, and Smart Emerging Technologies. View
- Zuo C, Wang C, Banerjee R. Advanced Data Mining and Applications. View