Published on 15.11.12 in Vol 14, No 6 (2012): Nov-Dec
Works citing ""Right Time, Right Place" Health Communication on Twitter: Value and Accuracy of Location Information"
According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.2121):
(note that this is only a small subset of citations)
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Kim HJ, Chae BK, Park SB. Exploring public space through social media: an exploratory case study on the High Line New York City. URBAN DESIGN International 2018;23(2):69
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Jashinsky J, Burton SH, Hanson CL, West J, Giraud-Carrier C, Barnes MD, Argyle T. Tracking Suicide Risk Factors Through Twitter in the US. Crisis 2014;35(1):51
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Nagar R, Yuan Q, Freifeld CC, Santillana M, Nojima A, Chunara R, Brownstein JS. A Case Study of the New York City 2012-2013 Influenza Season With Daily Geocoded Twitter Data From Temporal and Spatiotemporal Perspectives. Journal of Medical Internet Research 2014;16(10):e236
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Di Felice P, Iessi M. A Citizen-Sensing-Based Digital Service for the Analysis of On-Site Post-Earthquake Messages. ISPRS International Journal of Geo-Information 2019;8(3):136
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Jendryke M, Balz T, McClure SC, Liao M. Putting people in the picture: Combining big location-based social media data and remote sensing imagery for enhanced contextual urban information in Shanghai. Computers, Environment and Urban Systems 2017;62:99
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Zeraatkar K, Ahmadi M. Trends of infodemiology studies: a scoping review. Health Information & Libraries Journal 2018;35(2):91
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Nguyen QC, Kath S, Meng H, Li D, Smith KR, VanDerslice JA, Wen M, Li F. Leveraging geotagged Twitter data to examine neighborhood happiness, diet, and physical activity. Applied Geography 2016;73:77
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Liang Y, Zhou X, Zeng DD, Guo B, Zheng X, Yu Z. An Integrated Approach of Sensing Tobacco-Oriented Activities in Online Participatory Media. IEEE Systems Journal 2016;10(3):1193
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Gesualdo F, Stilo G, Agricola E, Gonfiantini MV, Pandolfi E, Velardi P, Tozzi AE, Cook A. Influenza-Like Illness Surveillance on Twitter through Automated Learning of Naïve Language. PLoS ONE 2013;8(12):e82489
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Liang B, Scammon DL. Incidence of Online Health Information Search: A Useful Proxy for Public Health Risk Perception. Journal of Medical Internet Research 2013;15(6):e114
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Albadi N, Kurdi M, Mishra S. Investigating the effect of combining GRU neural networks with handcrafted features for religious hatred detection on Arabic Twitter space. Social Network Analysis and Mining 2019;9(1)
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Hanson CL, Cannon B, Burton S, Giraud-Carrier C. An Exploration of Social Circles and Prescription Drug Abuse Through Twitter. Journal of Medical Internet Research 2013;15(9):e189
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Saldana-Perez M, Torres-Ruiz M, Moreno-Ibarra M. Geospatial Modeling of Road Traffic Using a Semi-Supervised Regression Algorithm. IEEE Access 2019;7:177376
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Fernández-Gavilanes M, Juncal-Martínez J, García-Méndez S, Costa-Montenegro E, Javier González-Castaño F. Differentiating users by language and location estimation in sentiment analisys of informal text during major public events. Expert Systems with Applications 2019;117:15
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Xu WW, Chiu I, Chen Y, Mukherjee T. Twitter hashtags for health: applying network and content analyses to understand the health knowledge sharing in a Twitter-based community of practice. Quality & Quantity 2015;49(4):1361
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Chininthorn P, Glaser M, Tucker WD, Diehl JC. Exploration of Deaf People’s Health Information Sources and Techniques for Information Delivery in Cape Town: A Qualitative Study for the Design and Development of a Mobile Health App. JMIR Human Factors 2016;3(2):e28
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Ranney ML, Daya M. Twitter and resuscitation education: Is this the future?. Resuscitation 2013;84(2):147
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Ren , Jiang , Seipel . Capturing and Characterizing Human Activities Using Building Locations in America. ISPRS International Journal of Geo-Information 2019;8(5):200
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Paul MJ, Dredze M. Social Monitoring for Public Health. Synthesis Lectures on Information Concepts, Retrieval, and Services 2017;9(5):1
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Broniatowski DA, Paul MJ, Dredze M, Preis T. National and Local Influenza Surveillance through Twitter: An Analysis of the 2012-2013 Influenza Epidemic. PLoS ONE 2013;8(12):e83672
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. Social Media as a Catalyst for Policy Action and Social Change for Health and Well-Being: Viewpoint. Journal of Medical Internet Research 2018;20(3):e94
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Grasso V, Crisci A, Morabito M, Nesi P, Pantaleo G. Public crowdsensing of heat waves by social media data. Advances in Science and Research 2017;14:217
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Liu JS, Ho MH, Lu LYY, Xiao G. Recent Themes in Social Networking Service Research. PLOS ONE 2017;12(1):e0170293
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Lamy FR, Daniulaityte R, Sheth A, Nahhas RW, Martins SS, Boyer EW, Carlson RG. “Those edibles hit hard”: Exploration of Twitter data on cannabis edibles in the U.S. Drug and Alcohol Dependence 2016;164:64
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. Mining location from social media: A systematic review. Computers, Environment and Urban Systems 2018;71:209
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Bernardo TM, Rajic A, Young I, Robiadek K, Pham MT, Funk JA. Scoping Review on Search Queries and Social Media for Disease Surveillance: A Chronology of Innovation. Journal of Medical Internet Research 2013;15(7):e147
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Ruktanonchai NW, Ruktanonchai CW, Floyd JR, Tatem AJ. Using Google Location History data to quantify fine-scale human mobility. International Journal of Health Geographics 2018;17(1)
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Li M, Westerholt R, Zipf A. Do people communicate about their whereabouts? Investigating the relation between user-generated text messages and Foursquare check-in places. Geo-spatial Information Science 2018;21(3):159
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Jenkins A, Croitoru A, Crooks AT, Stefanidis A, Preis T. Crowdsourcing a Collective Sense of Place. PLOS ONE 2016;11(4):e0152932
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Kotzias D, Lappas T, Gunopulos D. Home is where your friends are: Utilizing the social graph to locate twitter users in a city. Information Systems 2016;57:77
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Nguyen QC, Li D, Meng H, Kath S, Nsoesie E, Li F, Wen M. Building a National Neighborhood Dataset From Geotagged Twitter Data for Indicators of Happiness, Diet, and Physical Activity. JMIR Public Health and Surveillance 2016;2(2):e158
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Glowacki EM, Glowacki JB, Wilcox GB. A Text-Mining Analysis of the Public's Reactions to the Opioid Crisis. Substance Abuse 2018;39(2):129
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Khan Y, Leung GJ, Belanger P, Gournis E, Buckeridge DL, Liu L, Li Y, Johnson IL. Comparing Twitter data to routine data sources in public health surveillance for the 2015 Pan/Parapan American Games: an ecological study. Canadian Journal of Public Health 2018;109(3):419
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Hanson CL, Burton SH, Giraud-Carrier C, West JH, Barnes MD, Hansen B. Tweaking and Tweeting: Exploring Twitter for Nonmedical Use of a Psychostimulant Drug (Adderall) Among College Students. Journal of Medical Internet Research 2013;15(4):e62
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Hung K, Kalantari M, Rajabifard A. An Integrated Method for Assessing the Text Content Quality of Volunteered Geographic Information in Disaster Management. International Journal of Information Systems for Crisis Response and Management 2017;9(2):1
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Martín Y, Cutter SL, Li Z. Bridging Twitter and Survey Data for Evacuation Assessment of Hurricane Matthew and Hurricane Irma. Natural Hazards Review 2020;21(2)
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Lai S, Farnham A, Ruktanonchai NW, Tatem AJ. Measuring mobility, disease connectivity and individual risk: a review of using mobile phone data and mHealth for travel medicine. Journal of Travel Medicine 2019;26(3)
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Katsuki T, Mackey TK, Cuomo R. Establishing a Link Between Prescription Drug Abuse and Illicit Online Pharmacies: Analysis of Twitter Data. Journal of Medical Internet Research 2015;17(12):e280
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Acampora G, Anastasio P, Risi M, Tortora G, Vitiello A. Automatic Event Geo-Location in Twitter. IEEE Access 2020;8:128213
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Nagel AC, Tsou M, Spitzberg BH, An L, Gawron JM, Gupta DK, Yang J, Han S, Peddecord KM, Lindsay S, Sawyer MH. The Complex Relationship of Realspace Events and Messages in Cyberspace: Case Study of Influenza and Pertussis Using Tweets. Journal of Medical Internet Research 2013;15(10):e237
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. Adverse drug reactions and social media. Adverse Drug Reaction Bulletin 2014;286(1):1103
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Zhang H, Hill S, Rothschild D. Addressing Selection Bias in Event Studies with General-Purpose Social Media Panels. Journal of Data and Information Quality 2018;10(1):1
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Bartlett C, Wurtz R. Twitter and Public Health. Journal of Public Health Management and Practice 2015;21(4):375
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. Ethical Issues in Using Twitter for Public Health Surveillance and Research: Developing a Taxonomy of Ethical Concepts From the Research Literature. Journal of Medical Internet Research 2014;16(12):e290
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de Albuquerque JP, Herfort B, Brenning A, Zipf A. A geographic approach for combining social media and authoritative data towards identifying useful information for disaster management. International Journal of Geographical Information Science 2015;29(4):667
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Murthy D, Eldredge M. Who tweets about cancer? An analysis of cancer-related tweets in the USA. DIGITAL HEALTH 2016;2:205520761665767
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Imran M, Castillo C, Diaz F, Vieweg S. Processing Social Media Messages in Mass Emergency. ACM Computing Surveys 2015;47(4):1
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Saha K, Torous J, Caine ED, De Choudhury M. Psychosocial Effects of the COVID-19 Pandemic: Large-scale Quasi-Experimental Study on Social Media. Journal of Medical Internet Research 2020;22(11):e22600
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van Heerden A, Young S, Park CS. Use of social media big data as a novel HIV surveillance tool in South Africa. PLOS ONE 2020;15(10):e0239304
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. Design and analysis of a large-scale COVID-19 tweets dataset. Applied Intelligence 2021;51(5):2790
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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;
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Kurwi S, Demian P, Blay KB, Hassan TM. Collaboration through Integrated BIM and GIS for the Design Process in Rail Projects: Formalising the Requirements. Infrastructures 2021;6(4):52
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Martín Y, Li Z, Ge Y, Huang X. Introducing Twitter Daily Estimates of Residents and Non-Residents at the County Level. Social Sciences 2021;10(6):227
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Dou M, Wang Y, Gu Y, Dong S, Qiao M, Deng Y. Disaster damage assessment based on fine-grained topics in social media. Computers & Geosciences 2021;156:104893
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Parthasarathi , Kumari G. Religious Tweets During COVID-19: Qualitative Analysis of Articulation of Ideas of Netizens. Media Watch 2022;13(1):104
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Choi E, Choi Y. The Early Emotional Responses and Central Issues of People in the Epicenter of the COVID-19 Pandemic: An Analysis from Twitter Text Mining. International Journal of Mental Health Promotion 2023;25(1):21
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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
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. Spatiotemporal sentiment variation analysis of geotagged COVID-19 tweets from India using a hybrid deep learning model. Scientific Reports 2022;12(1)
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Araque , Sánchez-Rada JF, Carrera , Iglesias C, Tardío J, García-Grao G, Musolino S, Antonelli F. Making Sense of Language Signals for Monitoring Radicalization. Applied Sciences 2022;12(17):8413
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Hswen Y, Moran AJ, Prasad S, Li A, Simon D, Cleveland L, Hawkins JB, Brownstein JS, Block J. The Federal Menu Labeling Law and Twitter Discussions about Calories in the United States: An Interrupted Time-Series Analysis. International Journal of Environmental Research and Public Health 2021;18(20):10794
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Lee EWJ, Zheng H, Goh DH, Lee CS, 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
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Muñoz-Sastre D, Rodrigo-Martín L, Rodrigo-Martín I. The Role of Twitter in the WHO’s Fight against the Infodemic. International Journal of Environmental Research and Public Health 2021;18(22):11990
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ÇAĞLAR B, SELVİ HZ. Veri Madenciliği Uygulamalarının Web Tabanlı Mekânsal Görsel Analitik Ortamda Sunumu: COVID-19 Aşı Tweet’leri Örneği. Afyon Kocatepe University Journal of Sciences and Engineering 2023;23(2):417
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Gao J, Gallegos GA, West JF. 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
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Isip Tan IT, Cleofas J, Solano G, Pillejera JG, Catapang JK. Interdisciplinary Approach to Identify and Characterize COVID-19 Misinformation on Twitter: Mixed Methods Study. JMIR Formative Research 2023;7:e41134
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Florath J, Chanussot J, Keller S. Utilizing Volunteered Geographic Information for Real-Time Analysis of Fire Hazards: Investigating the Potential of Twitter Data in Assessing the Impacted Areas. Fire 2023;7(1):6
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.2121):
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Akerkar R, Hong M. Information and Communication Technologies in Education, Research, and Industrial Applications. 2019. Chapter 1:3
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Leightley D, Sharp M, Williamson V, Fear NT, Gribble R. Social Media and the Armed Forces. 2020. Chapter 9:145
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Şahin C, Rokne J, Alhajj R. Social Networks and Surveillance for Society. 2019. Chapter 9:149
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Saldana-Perez AMM, Moreno-Ibarra MA, Torres-Ruiz MJ. Encyclopedia of Information Science and Technology, Fourth Edition. 2018. chapter 604:6973
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Hong M, Akerkar R. Machine Learning Paradigms. 2019. Chapter 11:351
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Vorovchenko T, Ariana P, van Loggerenberg F, Amirian P. Big Data in Healthcare. 2017. Chapter 5:85
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Mukhina K, Visheratin A, Nasonov D. Computational Science – ICCS 2020. 2020. Chapter 7:86
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Diug B, Kendal E. Teaching Medicine and Medical Ethics Using Popular Culture. 2017. Chapter 7:115
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Saldana-Perez AMM, Moreno-Ibarra MA, Torres-Ruiz MJ. Advanced Methodologies and Technologies in Media and Communications. 2019. chapter 27:342
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Pérez MS, Ruiz MT, Ibarra MM. Research & Innovation Forum 2019. 2019. Chapter 27:287
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Hong Y, Sinnott RO. Computational Science and Its Applications – ICCSA 2018. 2018. Chapter 36:526
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Zola P, Cortez P, Tesconi M. Computational Science and Its Applications – ICCSA 2020. 2020. Chapter 38:526
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Leightley D, Sharp M, Williamson V, Fear NT, Gribble R. Soziale Medien und die Streitkräfte. 2023. Chapter 9:183
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