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Citing this Article

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Published on 29.08.16 in Vol 18, No 8 (2016): August

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

Works citing "Characterizing Twitter Discussions About HPV Vaccines Using Topic Modeling and Community Detection"

Didi Surian, Dat Quoc Nguyen, Georgina Kennedy, Mark Johnson, Enrico Coiera, Adam G Dunn

J Med Internet Res 2016 (Aug 29); 18(8):e232 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.6045):

(note that this is only a small subset of citations)

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  3. Shah Z, Surian D, Dyda A, Coiera E, Mandl KD, Dunn AG. Automatically Appraising the Credibility of Vaccine-Related Web Pages Shared on Social Media: A Twitter Surveillance Study. Journal of Medical Internet Research 2019;21(11):e14007
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  4. Dyda A, Shah Z, Surian D, Martin P, Coiera E, Dey A, Leask J, Dunn AG. HPV vaccine coverage in Australia and associations with HPV vaccine information exposure among Australian Twitter users. Human Vaccines & Immunotherapeutics 2019;15(7-8):1488
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  36. Leis A, Ronzano F, Mayer MA, Furlong LI, Sanz F. Evaluating Behavioral and Linguistic Changes During Drug Treatment for Depression Using Tweets in Spanish: Pairwise Comparison Study. Journal of Medical Internet Research 2020;22(12):e20920
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  37. Karafillakis E, Martin S, Simas C, Olsson K, Takacs J, Dada S, Larson HJ. Methods for Social Media Monitoring Related to Vaccination: Systematic Scoping Review. JMIR Public Health and Surveillance 2021;7(2):e17149
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  38. Gallagher J, Lawrence HY. Rhetorical Appeals and Tactics in New York Times Comments About Vaccines: Qualitative Analysis. Journal of Medical Internet Research 2020;22(12):e19504
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  41. Kwok SWH, Vadde SK, Wang G. Tweet Topics and Sentiments Relating to COVID-19 Vaccination Among Australian Twitter Users: Machine Learning Analysis. Journal of Medical Internet Research 2021;23(5):e26953
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  42. Tacheva Z, Ivanov A. Exploring the Association Between the “Big Five” Personality Traits and Fatal Opioid Overdose: County-Level Empirical Analysis. JMIR Mental Health 2021;8(3):e24939
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  43. Massaro M, Tamburro P, La Torre M, Dal Mas F, Thomas R, Cobianchi L, Barach P. Non-pharmaceutical Interventions and the Infodemic on Twitter: Lessons Learned from Italy during the Covid-19 Pandemic. Journal of Medical Systems 2021;45(4)
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  44. Lang R, Benham JL, Atabati O, Hollis A, Tombe T, Shaffer B, Burns KK, MacKean G, Léveillé T, McCormack B, Sheikh H, Fullerton MM, Tang T, Boucher J, Constantinescu C, Mourali M, Manns BJ, Marshall DA, Hu J, Oxoby RJ. Attitudes, behaviours and barriers to public health measures for COVID-19: a survey to inform public health messaging. BMC Public Health 2021;21(1)
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  45. Vlachogiannis DM, Xu Y, Jin L, González MC. Correlation networks of air particulate matter ($$\hbox {PM}_{2.5}$$): a comparative study. Applied Network Science 2021;6(1)
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  46. Bandy J, Diakopoulos N. More Accounts, Fewer Links. Proceedings of the ACM on Human-Computer Interaction 2021;5(CSCW1):1
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  47. Lossio-Ventura JA, Gonzales S, Morzan J, Alatrista-Salas H, Hernandez-Boussard T, Bian J. Evaluation of clustering and topic modeling methods over health-related tweets and emails. Artificial Intelligence in Medicine 2021;117:102096
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  48. Dunn AG, Steffens M, Dyda A, Mandl KD. Knowing when to act: A call for an open misinformation library to guide actionable surveillance. Big Data & Society 2021;8(1):205395172110187
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  49. Yousefinaghani S, Dara R, Mubareka S, Papadopoulos A, Sharif S. An analysis of COVID-19 vaccine sentiments and opinions on Twitter. International Journal of Infectious Diseases 2021;108:256
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  50. Zhang J, Xue H, Calabrese C, Chen H, Dang JHT. Understanding Human Papillomavirus Vaccine Promotions and Hesitancy in Northern California Through Examining Public Facebook Pages and Groups. Frontiers in Digital Health 2021;3
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  51. Perlstein SG, Verboord M, Gesser-Edelsburg A. Lockdowns, lethality, and laissez-faire politics. Public discourses on political authorities in high-trust countries during the COVID-19 pandemic. PLOS ONE 2021;16(6):e0253175
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  52. Miah SJ, Vu HQ, Alahakoon D. A social media analytics perspective for human‐oriented smart city planning and management. Journal of the Association for Information Science and Technology 2022;73(1):119
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  53. Li S, Wang R, Zhang Y, Lu H, Cai N, Yu Z. Potential social media influencers discrimination for concept marketing in online brand community. Journal of Intelligent & Fuzzy Systems 2021;41(1):317
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  54. Tomaszewski T, Morales A, Lourentzou I, Caskey R, Liu B, Schwartz A, Chin J. Identifying False Human Papillomavirus (HPV) Vaccine Information and Corresponding Risk Perceptions From Twitter: Advanced Predictive Models. Journal of Medical Internet Research 2021;23(9):e30451
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  55. Carrignon S, Bentley RA, Silk M, Fefferman NH, Eksin C. How social learning shapes the efficacy of preventative health behaviors in an outbreak. PLOS ONE 2022;17(1):e0262505
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  56. Noguera Vivo JM, Grandío-Pérez MDM, Villar-Rodríguez G, Martín A, Camacho D. Desinformación y vacunas en redes. Revista Latina de Comunicación Social 2022;(81):44
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  57. Osborne MT, Kenah E, Lancaster K, Tien J. Catch the tweet to fight the flu: Using Twitter to promote flu shots on a college campus. Journal of American College Health 2023;71(8):2470
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  58. Delir Haghighi P, Burstein F, Urquhart D, Cicuttini F. Investigating Individuals’ Perceptions Regarding the Context Around the Low Back Pain Experience: Topic Modeling Analysis of Twitter Data. Journal of Medical Internet Research 2021;23(12):e26093
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  59. Jiang S, Wang P, Liu PL, Ngien A, Wu X. Social Media Communication about HPV Vaccine in China: A Study Using Topic Modeling and Survey. Health Communication 2023;38(5):935
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  60. Melchior C, Oliveira M. Health-related fake news on social media platforms: A systematic literature review. New Media & Society 2022;24(6):1500
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  61. 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
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  62. Gour A, Aggarwal S, Kumar S. Lending ears to unheard voices: An empirical analysis of user‐generated content on social media. Production and Operations Management 2022;31(6):2457
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  63. Jiang LC, Chu TH, Sun M. Characterization of Vaccine Tweets During the Early Stage of the COVID-19 Outbreak in the United States: Topic Modeling Analysis. JMIR Infodemiology 2021;1(1):e25636
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  66. Jiang S, Ng AYK, Ngien A. The Effects of Social Media Information Discussion, Perceived Information Overload and Patient Empowerment in Influencing HPV Knowledge. Journal of Health Communication 2022;27(6):407
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  67. Khademi Habibabadi S, Delir Haghighi P, Burstein F, Buttery J. Vaccine Adverse Event Mining of Twitter Conversations: 2-Phase Classification Study. JMIR Medical Informatics 2022;10(6):e34305
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.6045):

  1. Kasthurirathne SN, Ho YA, Dixon BE. Public Health Informatics and Information Systems. 2020. Chapter 12:203
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  2. Panizo-LLedot A, Torregrosa J, Bello-Orgaz G, Thorburn J, Camacho D. Complex Networks and Their Applications VIII. 2020. Chapter 35:427
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  3. Zhang H, Wheldon C, Tao C, Dunn AG, Guo Y, Huo J, Bian J. Social Web and Health Research. 2019. Chapter 11:207
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  4. Wang K, He C, Wang L, Wu J. Knowledge and Systems Sciences. 2018. Chapter 4:45
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  5. Raghupathi V, Zhou Y, Raghupathi W. Research Anthology on Big Data Analytics, Architectures, and Applications. 2022. chapter 90:1843
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