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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"

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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  4. Massey PM, Budenz A, Leader A, Fisher K, Klassen AC, Yom-Tov E. What Drives Health Professionals to Tweet About #HPVvaccine? Identifying Strategies for Effective Communication. Preventing Chronic Disease 2018;15
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  9. Amith M, Cohen T, Cunningham R, Savas LS, Smith N, Cuccaro P, Gabay E, Boom J, Schvaneveldt R, Tao C. Mining HPV Vaccine Knowledge Structures of Young Adults From Reddit Using Distributional Semantics and Pathfinder Networks. Cancer Control 2020;27(1)
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  10. Featherstone JD, Ruiz JB, Barnett GA, Millam BJ. Exploring childhood vaccination themes and public opinions on Twitter: A semantic network analysis. Telematics and Informatics 2020;54:101474
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  12. Ortiz RR, Smith A, Coyne-Beasley T. A systematic literature review to examine the potential for social media to impact HPV vaccine uptake and awareness, knowledge, and attitudes about HPV and HPV vaccination. Human Vaccines & Immunotherapeutics 2019;15(7-8):1465
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  22. Toloza FJK, Espinoza Suarez NR, El Kawkgi O, Golembiewski EH, Ponce OJ, Yao L, Maraka S, Singh Ospina NM, Brito JP. Patient Experiences and Perceptions Associated with the Use of Desiccated Thyroid Extract. Medicina 2020;56(4):161
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  23. Himelboim I, Xiao X, Lee DKL, Wang MY, Borah P. A Social Networks Approach to Understanding Vaccine Conversations on Twitter: Network Clusters, Sentiment, and Certainty in HPV Social Networks. Health Communication 2020;35(5):607
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  30. Metwally O, Blumberg S, Ladabaum U, Sinha SR. Using Social Media to Characterize Public Sentiment Toward Medical Interventions Commonly Used for Cancer Screening: An Observational Study. Journal of Medical Internet Research 2017;19(6):e200
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  31. Kecojevic A, Basch C, Basch C, Kernan W. Pre-Exposure Prophylaxis YouTube Videos: Content Evaluation. JMIR Public Health and Surveillance 2018;4(1):e19
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  32. Myhre A, Xiong T, Vogel RI, Teoh D. Associations between risk-perception, self-efficacy and vaccine response-efficacy and parent/guardian decision-making regarding adolescent HPV vaccination. Papillomavirus Research 2020;10:100204
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  33. Massey PM, Kearney MD, Hauer MK, Selvan P, Koku E, Leader AE. Dimensions of Misinformation About the HPV Vaccine on Instagram: Content and Network Analysis of Social Media Characteristics. Journal of Medical Internet Research 2020;22(12):e21451
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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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  35. Lama Y, Quinn SC, Nan X, Cruz-Cano R. Social media use and human papillomavirus awareness and knowledge among adults with children in the household: examining the role of race, ethnicity, and gender. Human Vaccines & Immunotherapeutics 2021;17(4):1014
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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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  40. Rodríguez-González A, Tuñas JM, Prieto Santamaría L, Fernández Peces-Barba D, Menasalvas Ruiz E, Jaramillo A, Cotarelo M, Conejo Fernández AJ, Arce A, Gil A. Identifying Polarity in Tweets from an Imbalanced Dataset about Diseases and Vaccines Using a Meta-Model Based on Machine Learning Techniques. Applied Sciences 2020;10(24):9019
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  41. Pan S, Zhang D, Zhang J. Caught in the Crossfire: How Contradictory Information and Norms on Social Media Influence Young Women’s Intentions to Receive HPV Vaccination in the United States and China. Frontiers in Psychology 2020;11
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  42. Benis A, Khodos A, Ran S, Levner E, Ashkenazi S. Social Media Engagement and Influenza Vaccination During the COVID-19 Pandemic: Cross-sectional Survey Study. Journal of Medical Internet Research 2021;23(3):e25977
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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
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  61. Luo C, Chen A, Cui B, Liao W. Exploring public perceptions of the COVID-19 vaccine online from a cultural perspective: Semantic network analysis of two social media platforms in the United States and China. Telematics and Informatics 2021;65:101712
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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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  63. Voidăzan TS, Budianu MA, Rozsnyai FF, Kovacs Z, Uzun CC, Neagu N. Assessing the Level of Knowledge, Beliefs and Acceptance of HPV Vaccine: A Cross-Sectional Study in Romania. International Journal of Environmental Research and Public Health 2022;19(11):6939
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  64. Thompson EL, Galvin AM, Garg A, Moore JD, Litt DM. Exploring novel strategies for social media HPV vaccine information. Human Vaccines & Immunotherapeutics 2024;17(12):5397
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  65. Roe C, Lowe M, Williams B, Miller C. Public Perception of SARS-CoV-2 Vaccinations on Social Media: Questionnaire and Sentiment Analysis. International Journal of Environmental Research and Public Health 2021;18(24):13028
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  66. Ryan R, Davis-Kean P, Bode L, Krüger J, Mneimneh Z, Singh L. Parenting online: analyzing information provided by parenting-focused Twitter accounts. Atlantic Journal of Communication 2023;31(3):243
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  67. Zhang J, Wang Y, Shi M, Wang X. Factors Driving the Popularity and Virality of COVID-19 Vaccine Discourse on Twitter: Text Mining and Data Visualization Study. JMIR Public Health and Surveillance 2021;7(12):e32814
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  68. Sharevski F, Alsaadi R, Jachim P, Pieroni E. Misinformation warnings: Twitter’s soft moderation effects on COVID-19 vaccine belief echoes. Computers & Security 2022;114:102577
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  72. Kornides ML, Badlis S, Head KJ, Putt M, Cappella J, Gonzalez-Hernadez G. Exploring content of misinformation about HPV vaccine on twitter. Journal of Behavioral Medicine 2023;46(1-2):239
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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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  2. Chen X, Hao T. Social Web and Health Research. 2019. Chapter 3:31
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  3. Esha , Zaïane O. Digital Economy. Emerging Technologies and Business Innovation. 2021. Chapter 18:264
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