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Citing this Article

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Published on 15.11.12 in Vol 14, No 6 (2012): Nov-Dec

This paper is in the following e-collection/theme issue:

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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  32. 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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  34. 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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  36. 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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  38. 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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  42. 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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  43. Bartlett C, Wurtz R. Twitter and Public Health. Journal of Public Health Management and Practice 2015;21(4):375
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  44. . 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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  45. 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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  46. 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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  47. 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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  48. 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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  49. 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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  50. . Design and analysis of a large-scale COVID-19 tweets dataset. Applied Intelligence 2021;51(5):2790
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  51. 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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  52. 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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  53. 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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  54. 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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  55. 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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  56. 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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  57. 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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  58. . 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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  59. 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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  60. 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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  61. 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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  62. 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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  63. 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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  64. 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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  65. 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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  66. 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):

  1. Akerkar R, Hong M. Information and Communication Technologies in Education, Research, and Industrial Applications. 2019. Chapter 1:3
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  2. Leightley D, Sharp M, Williamson V, Fear NT, Gribble R. Social Media and the Armed Forces. 2020. Chapter 9:145
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  3. Şahin C, Rokne J, Alhajj R. Social Networks and Surveillance for Society. 2019. Chapter 9:149
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  4. 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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  5. Hong M, Akerkar R. Machine Learning Paradigms. 2019. Chapter 11:351
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  6. Vorovchenko T, Ariana P, van Loggerenberg F, Amirian P. Big Data in Healthcare. 2017. Chapter 5:85
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  7. Mukhina K, Visheratin A, Nasonov D. Computational Science – ICCS 2020. 2020. Chapter 7:86
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  8. Diug B, Kendal E. Teaching Medicine and Medical Ethics Using Popular Culture. 2017. Chapter 7:115
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  9. 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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  10. Pérez MS, Ruiz MT, Ibarra MM. Research & Innovation Forum 2019. 2019. Chapter 27:287
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  11. Hong Y, Sinnott RO. Computational Science and Its Applications – ICCSA 2018. 2018. Chapter 36:526
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  12. Zola P, Cortez P, Tesconi M. Computational Science and Its Applications – ICCSA 2020. 2020. Chapter 38:526
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  13. Leightley D, Sharp M, Williamson V, Fear NT, Gribble R. Soziale Medien und die Streitkräfte. 2023. Chapter 9:183
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