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Citing this Article

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Published on 05.12.16 in Vol 18, No 12 (2016): December

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

Works citing "Applying Multiple Data Collection Tools to Quantify Human Papillomavirus Vaccine Communication on Twitter"

Philip M Massey, Amy Leader, Elad Yom-Tov, Alexandra Budenz, Kara Fisher, Ann C Klassen

J Med Internet Res 2016 (Dec 05); 18(12):e318 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.6670):

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

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  34. Calo WA, Gilkey MB, Shah PD, Dyer A, Margolis MA, Dailey SA, Brewer NT. Misinformation and other elements in HPV vaccine tweets: an experimental comparison. Journal of Behavioral Medicine 2021;44(3):310
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  36. Piedrahita-Valdés H, Piedrahita-Castillo D, Bermejo-Higuera J, Guillem-Saiz P, Bermejo-Higuera JR, Guillem-Saiz J, Sicilia-Montalvo JA, Machío-Regidor F. Vaccine Hesitancy on Social Media: Sentiment Analysis from June 2011 to April 2019. Vaccines 2021;9(1):28
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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. Argyris Y, Kim Y, Song W, Roscizewski A. Maternal Engagement with Vaccine-Skeptical and Advocating Content on Social Media and Their Adolescent Children’s HPV Vaccination Rates: A Web- and Mobile-Based Survey among US Mothers of Adolescents (Preprint). JMIR Pediatrics and Parenting 2020;
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  39. Suarez-Lledo V, Alvarez-Galvez J. Prevalence of Health Misinformation on Social Media: Systematic Review. Journal of Medical Internet Research 2021;23(1):e17187
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  43. Teoh D, Hill E, Goldsberry W, Levine L, Novetsky A, Downs L. Overcoming the barriers to HPV vaccination in high-risk populations in the U.S.: A Society of Gynecologic Oncology (SGO) Review. Gynecologic Oncology 2021;161(1):228
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  44. To QG, To KG, Huynh VN, Nguyen NTQ, Ngo DTN, Alley SJ, Tran ANQ, Tran ANP, Pham NTT, Bui TX, Vandelanotte C. Applying Machine Learning to Identify Anti-Vaccination Tweets during the COVID-19 Pandemic. International Journal of Environmental Research and Public Health 2021;18(8):4069
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  45. Eibensteiner F, Ritschl V, Nawaz FA, Fazel SS, Tsagkaris C, Kulnik ST, Crutzen R, Klager E, Völkl-Kernstock S, Schaden E, Kletecka-Pulker M, Willschke H, Atanasov AG. People’s Willingness to Vaccinate Against COVID-19 Despite Their Safety Concerns: Twitter Poll Analysis. Journal of Medical Internet Research 2021;23(4):e28973
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  46. Wawrzuta D, Jaworski M, Gotlib J, Panczyk M. What Arguments against COVID-19 Vaccines Run on Facebook in Poland: Content Analysis of Comments. Vaccines 2021;9(5):481
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  47. Wawrzuta D, Jaworski M, Gotlib J, Panczyk M. Characteristics of Antivaccine Messages on Social Media: Systematic Review. Journal of Medical Internet Research 2021;23(6):e24564
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  48. 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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  49. ELGOHARY EM, ABD-ELAZIZ MM. Data mining framework for analyzing Twitter users' opinion on the drug mefloquine. Gazzetta Medica Italiana Archivio per le Scienze Mediche 2021;180(5)
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  50. Massey PM, Togo E, Chiang SC, Klassen AC, Rose M, Manganello JA, Leader AE. Identifying HPV vaccine narrative communication needs among parents on social media. Preventive Medicine Reports 2021;23:101488
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  51. Gaysynsky A, Rising CJ, Trivedi N, Blake KD, Chou WS, Oh A, Vanderpool RC. Communication research at the National Cancer Institute, 2013–2019: a grant portfolio analysis. Cancer Causes & Control 2021;32(12):1333
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  52. Massey PM, Chiang SC, Rose M, Murray RM, Rockett M, Togo E, Klassen AC, Manganello JA, Leader AE. Development of Personas to Communicate Narrative-Based Information About the HPV Vaccine on Twitter. Frontiers in Digital Health 2021;3
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  53. 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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  54. Li J, Zheng H, Duan X. Factors Influencing the Popularity of a Health-Related Answer on a Chinese Question-and-Answer Website: Case Study. Journal of Medical Internet Research 2021;23(9):e29885
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  55. Russell AM, Valdez D, Chiang SC, Montemayor BN, Barry AE, Lin H, Massey PM. Using Natural Language Processing to Explore “Dry January” Posts on Twitter: Longitudinal Infodemiology Study. Journal of Medical Internet Research 2022;24(11):e40160
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  56. Ngai CSB, Singh RG, Yao L. Impact of COVID-19 Vaccine Misinformation on Social Media Virality: Content Analysis of Message Themes and Writing Strategies. Journal of Medical Internet Research 2022;24(7):e37806
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  57. Basch CH, Hillyer GC, Jacques ET. Professionally Created Content Related to HPV Vaccination on TikTok. Frontiers in Digital Health 2022;4
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  58. Ginossar T, Cruickshank IJ, Zheleva E, Sulskis J, Berger-Wolf T. Cross-platform spread: vaccine-related content, sources, and conspiracy theories in YouTube videos shared in early Twitter COVID-19 conversations. Human Vaccines & Immunotherapeutics 2022;18(1):1
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  59. Lee CS, Goh DH, Tan HW, Zheng H, Theng YL. Understanding the Temporal Effects on Tweetcussion of COVID‐19 Vaccine. Proceedings of the Association for Information Science and Technology 2021;58(1):768
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  60. Llavona-Ortiz JY, Spanos KE, Kraschnewski JL, D’Souza G, Myrick JG, Sznajder KK, Calo WA. Associations Between Human Papillomavirus Vaccine Decisions and Exposure to Vaccine Information in Social Media. Cancer Control 2022;29:107327482211384
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  62. Karami A, Zhu M, Goldschmidt B, Boyajieff HR, Najafabadi MM. COVID-19 Vaccine and Social Media in the U.S.: Exploring Emotions and Discussions on Twitter. Vaccines 2021;9(10):1059
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.6670):

  1. 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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