Explore our sister journals here.

Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Citing this Article

Right click to copy or hit: ctrl+c (cmd+c on mac)

Published on 10.06.15 in Vol 17, No 6 (2015): June

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

Works citing "Associations Between Exposure to and Expression of Negative Opinions About Human Papillomavirus Vaccines on Social Media: An Observational Study"

Adam G Dunn, Julie Leask, Xujuan Zhou, Kenneth D Mandl, Enrico Coiera

J Med Internet Res 2015 (Jun 10); 17(6):e144 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.4343):

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

  1. Lardon J, Bellet F, Aboukhamis R, Asfari H, Souvignet J, Jaulent M, Beyens M, Lillo-LeLouët A, Bousquet C. Evaluating Twitter as a complementary data source for pharmacovigilance. Expert Opinion on Drug Safety 2018;17(8):763
    CrossRef
  2. . The cognitive health system. The Lancet 2020;395(10222):463
    CrossRef
  3. Basch CH, Hillyer GC, Berdnik A, Basch CE. YouTube™ videos related to human papillomavirus: the need for professional communication. International Journal of Adolescent Medicine and Health 2018;30(1)
    CrossRef
  4. Du J, Cunningham RM, Xiang Y, Li F, Jia Y, Boom JA, Myneni S, Bian J, Luo C, Chen Y, Tao C. Leveraging deep learning to understand health beliefs about the Human Papillomavirus Vaccine from social media. npj Digital Medicine 2019;2(1)
    CrossRef
  5. Teoh D, Shaikh R, Vogel RI, Zoellner T, Carson L, Kulasingam S, Lou E. A Cross-Sectional Review of Cervical Cancer Messages on Twitter During Cervical Cancer Awareness Month. Journal of Lower Genital Tract Disease 2018;22(1):8
    CrossRef
  6. Vrdelja M, Kraigher A, Verčič D, Kropivnik S. The growing vaccine hesitancy: exploring the influence of the internet. European Journal of Public Health 2018;28(5):934
    CrossRef
  7. Perkins RB, Fisher-Borne M, Brewer NT. Engaging parents around vaccine confidence: proceedings from the National HPV Vaccination Roundtable meetings. Human Vaccines & Immunotherapeutics 2019;15(7-8):1639
    CrossRef
  8. Paul MJ, Dredze M. Social Monitoring for Public Health. Synthesis Lectures on Information Concepts, Retrieval, and Services 2017;9(5):1
    CrossRef
  9. Okuhara T, Ishikawa H, Okada M, Kato M, Kiuchi T. Japanese anti- versus pro-influenza vaccination websites: a text-mining analysis. Health Promotion International 2019;34(3):552
    CrossRef
  10. Du J, Xu J, Song H, Liu X, Tao C. Optimization on machine learning based approaches for sentiment analysis on HPV vaccines related tweets. Journal of Biomedical Semantics 2017;8(1)
    CrossRef
  11. Abdar M, Zomorodi-Moghadam M, Zhou X, Gururajan R, Tao X, Barua PD, Gururajan R. A new nested ensemble technique for automated diagnosis of breast cancer. Pattern Recognition Letters 2020;132:123
    CrossRef
  12. Sullivan E, Sondag M, Rutter I, Meulemans W, Cunningham S, Speckmann B, Alfano M. Vulnerability in Social Epistemic Networks. International Journal of Philosophical Studies 2020;28(5):731
    CrossRef
  13. Klein C, Clutton P, Polito V. Topic Modeling Reveals Distinct Interests within an Online Conspiracy Forum. Frontiers in Psychology 2018;9
    CrossRef
  14. 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
    CrossRef
  15. Chin J, Chin C, Panday S, Ghazanfari A, Jagadeesan G, Wang Z, Ontengco A, Chang A, Liu B, Schwartz A, Caskey R. Tracking the Human Papillomavirus Vaccine Risk Misinformation: An Explorative Study to Examine How the Misinformation Has Spread in User-Generated Content. Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care 2020;9(1):312
    CrossRef
  16. Zhang L, Fan H, Peng C, Rao G, Cong Q. Sentiment Analysis Methods for HPV Vaccines Related Tweets Based on Transfer Learning. Healthcare 2020;8(3):307
    CrossRef
  17. 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
    CrossRef
  18. Huber B, Barnidge M, Gil de Zúñiga H, Liu J. Fostering public trust in science: The role of social media. Public Understanding of Science 2019;28(7):759
    CrossRef
  19. Constable C, Caplan A. Comparison of the implementation of human papillomavirus and hepatitis B vaccination programs in the United States: Implications for future vaccines. Vaccine 2020;38(5):954
    CrossRef
  20. Reiter PL, Gerend MA, Gilkey MB, Perkins RB, Saslow D, Stokley S, Tiro JA, Zimet GD, Brewer NT. Advancing Human Papillomavirus Vaccine Delivery: 12 Priority Research Gaps. Academic Pediatrics 2018;18(2):S14
    CrossRef
  21. Raghupathi V, Ren J, Raghupathi W. Studying Public Perception about Vaccination: A Sentiment Analysis of Tweets. International Journal of Environmental Research and Public Health 2020;17(10):3464
    CrossRef
  22. Marcon AR, Murdoch B, Caulfield T. Fake news portrayals of stem cells and stem cell research. Regenerative Medicine 2017;12(7):765
    CrossRef
  23. Brosch S, de Ferran A, Newbould V, Farkas D, Lengsavath M, Tregunno P. Establishing a Framework for the Use of Social Media in Pharmacovigilance in Europe. Drug Safety 2019;42(8):921
    CrossRef
  24. Davis MA, Zheng K, Liu Y, Levy H. Public Response to Obamacare on Twitter. Journal of Medical Internet Research 2017;19(5):e167
    CrossRef
  25. Arif N, Al-Jefri M, Bizzi IH, Perano GB, Goldman M, Haq I, Chua KL, Mengozzi M, Neunez M, Smith H, Ghezzi P. Fake News or Weak Science? Visibility and Characterization of Antivaccine Webpages Returned by Google in Different Languages and Countries. Frontiers in Immunology 2018;9
    CrossRef
  26. Smaldone F, Ippolito A, Ruberto M. The shadows know me: Exploring the dark side of social media in the healthcare field. European Management Journal 2020;38(1):19
    CrossRef
  27. Amith M, Tao C. Representing vaccine misinformation using ontologies. Journal of Biomedical Semantics 2018;9(1)
    CrossRef
  28. . Follow the heart or the mind? Examining cognitive and affective attitude on HPV vaccination intention. Atlantic Journal of Communication 2021;29(2):93
    CrossRef
  29. Hwang J, Shah DV. Health Information Sources, Perceived Vaccination Benefits, and Maintenance of Childhood Vaccination Schedules. Health Communication 2019;34(11):1279
    CrossRef
  30. Chen T, Dredze M. Vaccine Images on Twitter: Analysis of What Images are Shared. Journal of Medical Internet Research 2018;20(4):e130
    CrossRef
  31. Gilkey MB, Mohan D, Janssen EM, McRee A, Kornides ML, Bridges JFP. Exploring variation in parental worries about HPV vaccination: a latent-class analysis. Human Vaccines & Immunotherapeutics 2019;15(7-8):1745
    CrossRef
  32. . Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206
    CrossRef
  33. McKeever BW, McKeever R, Holton AE, Li J. Silent Majority: Childhood Vaccinations and Antecedents to Communicative Action. Mass Communication and Society 2016;19(4):476
    CrossRef
  34. Farouk S, Sparks MA. Editorial commentary: The public physician in cardiology: The solution to information pollution. Trends in Cardiovascular Medicine 2020;30(1):36
    CrossRef
  35. . From bad to worse: The representation of the HPV vaccine Facebook. Vaccine 2020;38(29):4564
    CrossRef
  36. Xiao X, Wong RM. Vaccine hesitancy and perceived behavioral control: A meta-analysis. Vaccine 2020;38(33):5131
    CrossRef
  37. Dunn AG, Mandl KD, Coiera E. Social media interventions for precision public health: promises and risks. npj Digital Medicine 2018;1(1)
    CrossRef
  38. . Celebrities, cows and contagious ideas about vaccines. Scandinavian Journal of Public Health 2018;46(2):189
    CrossRef
  39. Son Y, Kang HS. A Text Mining Analysis of HPV Vaccination Research Trends. Child Health Nursing Research 2019;25(4):458
    CrossRef
  40. . Media researchers must understand the audience too. The European Journal of Public Health 2016;26(4):534
    CrossRef
  41. Surian D, Nguyen DQ, Kennedy G, Johnson M, Coiera E, Dunn AG. Characterizing Twitter Discussions About HPV Vaccines Using Topic Modeling and Community Detection. Journal of Medical Internet Research 2016;18(8):e232
    CrossRef
  42. Shapiro GK, Guichon J, Prue G, Perez S, Rosberger Z. A Multiple Streams analysis of the decisions to fund gender-neutral HPV vaccination in Canada. Preventive Medicine 2017;100:123
    CrossRef
  43. 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
    CrossRef
  44. Massey PM, Leader A, Yom-Tov E, Budenz A, Fisher K, Klassen AC. Applying Multiple Data Collection Tools to Quantify Human Papillomavirus Vaccine Communication on Twitter. Journal of Medical Internet Research 2016;18(12):e318
    CrossRef
  45. Luyten J, Beutels P. The Social Value Of Vaccination Programs: Beyond Cost-Effectiveness. Health Affairs 2016;35(2):212
    CrossRef
  46. Delir Haghighi P, Kang Y, Buchbinder R, Burstein F, Whittle S. Investigating Subjective Experience and the Influence of Weather Among Individuals With Fibromyalgia: A Content Analysis of Twitter. JMIR Public Health and Surveillance 2017;3(1):e4
    CrossRef
  47. Du J, Xu J, Song H, Tao C. Leveraging machine learning-based approaches to assess human papillomavirus vaccination sentiment trends with Twitter data. BMC Medical Informatics and Decision Making 2017;17(S2)
    CrossRef
  48. Brainard J, Hunter P, Hall I. An agent-based model about the effects of fake news on a norovirus outbreak. Revue d'Épidémiologie et de Santé Publique 2020;68(2):99
    CrossRef
  49. Luo X, Zimet G, Shah S. A natural language processing framework to analyse the opinions on HPV vaccination reflected in twitter over 10 years (2008 - 2017). Human Vaccines & Immunotherapeutics 2019;15(7-8):1496
    CrossRef
  50. Tangherlini TR, Roychowdhury V, Glenn B, Crespi CM, Bandari R, Wadia A, Falahi M, Ebrahimzadeh E, Bastani R. “Mommy Blogs” and the Vaccination Exemption Narrative: Results From A Machine-Learning Approach for Story Aggregation on Parenting Social Media Sites. JMIR Public Health and Surveillance 2016;2(2):e166
    CrossRef
  51. Alfano M, Fard AE, Carter JA, Clutton P, Klein C. Technologically scaffolded atypical cognition: the case of YouTube’s recommender system. Synthese 2021;199(1-2):835
    CrossRef
  52. Francia M, Gallinucci E, Golfarelli M. Social BI to understand the debate on vaccines on the Web and social media: unraveling the anti-, free, and pro-vax communities in Italy. Social Network Analysis and Mining 2019;9(1)
    CrossRef
  53. Waters EA, Wheeler C, Hamilton JG. How Are Information Seeking, Scanning, and Processing Related to Beliefs About the Roles of Genetics and Behavior in Cancer Causation?. Journal of Health Communication 2016;21(sup2):6
    CrossRef
  54. John R, Finnell K, Kerby D, Owen J, Hansen K. Reactions to a Low-Fat Milk Social Media Intervention in the US: The Choose 1% Milk Campaign. Beverages 2017;3(4):47
    CrossRef
  55. Milani E, Weitkamp E, Webb P. The Visual Vaccine Debate on Twitter: A Social Network Analysis. Media and Communication 2020;8(2):364
    CrossRef
  56. Mueller-Herbst JM, Xenos MA, Scheufele DA, Brossard D. Saw It on Facebook: The Role of Social Media in Facilitating Science Issue Awareness. Social Media + Society 2020;6(2):205630512093041
    CrossRef
  57. Moran MB, Lucas M, Everhart K, Morgan A, Prickett E. What makes anti-vaccine websites persuasive? A content analysis of techniques used by anti-vaccine websites to engender anti-vaccine sentiment. Journal of Communication in Healthcare 2016;9(3):151
    CrossRef
  58. Donzelli G, Palomba G, Federigi I, Aquino F, Cioni L, Verani M, Carducci A, Lopalco P. Misinformation on vaccination: A quantitative analysis of YouTube videos. Human Vaccines & Immunotherapeutics 2018;14(7):1654
    CrossRef
  59. Deiner MS, Fathy C, Kim J, Niemeyer K, Ramirez D, Ackley SF, Liu F, Lietman TM, Porco TC. Facebook and Twitter vaccine sentiment in response to measles outbreaks. Health Informatics Journal 2019;25(3):1116
    CrossRef
  60. Brewer NT, Chapman GB, Rothman AJ, Leask J, Kempe A. Increasing Vaccination: Putting Psychological Science Into Action. Psychological Science in the Public Interest 2017;18(3):149
    CrossRef
  61. 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):107327481989144
    CrossRef
  62. MacDonald NE, Butler R, Dubé E. Addressing barriers to vaccine acceptance: an overview. Human Vaccines & Immunotherapeutics 2018;14(1):218
    CrossRef
  63. Suragh TA, Lamprianou S, MacDonald NE, Loharikar AR, Balakrishnan MR, Benes O, Hyde TB, McNeil MM. Cluster anxiety-related adverse events following immunization (AEFI): An assessment of reports detected in social media and those identified using an online search engine. Vaccine 2018;36(40):5949
    CrossRef
  64. Margolis MA, Brewer NT, Shah PD, Calo WA, Gilkey MB. Stories about HPV vaccine in social media, traditional media, and conversations. Preventive Medicine 2019;118:251
    CrossRef
  65. McDonald L, Malcolm B, Ramagopalan S, Syrad H. Real-world data and the patient perspective: the PROmise of social media?. BMC Medicine 2019;17(1)
    CrossRef
  66. Liao Q, Lam WWT, Wong CKH, Lam C, Chen J, Fielding R. The relative effects of determinants on Chinese adults’ decision for influenza vaccination choice: What is the effect of priming?. Vaccine 2019;37(30):4124
    CrossRef
  67. Zhang R, Fu JS. Linking Network Characteristics of Online Social Networks to Individual Health: A Systematic Review of Literature. Health Communication 2021;36(12):1549
    CrossRef
  68. 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
    CrossRef
  69. Ward JK, Peretti-Watel P, Verger P. Vaccine criticism on the internet: Propositions for future research. Human Vaccines & Immunotherapeutics 2016;:1
    CrossRef
  70. Covolo L, Ceretti E, Passeri C, Boletti M, Gelatti U. What arguments on vaccinations run through YouTube videos in Italy? A content analysis. Human Vaccines & Immunotherapeutics 2017;13(7):1693
    CrossRef
  71. Gunaratne K, Coomes EA, Haghbayan H. Temporal trends in anti-vaccine discourse on Twitter. Vaccine 2019;37(35):4867
    CrossRef
  72. Ghenai A, Mejova Y. Fake Cures. Proceedings of the ACM on Human-Computer Interaction 2018;2(CSCW):1
    CrossRef
  73. dos Santos BS, Steiner MTA, Fenerich AT, Lima RHP. Data mining and machine learning techniques applied to public health problems: A bibliometric analysis from 2009 to 2018. Computers & Industrial Engineering 2019;138:106120
    CrossRef
  74. Dunn AG, Surian D, Dalmazzo J, Rezazadegan D, Steffens M, Dyda A, Leask J, Coiera E, Dey A, Mandl KD. Limited Role of Bots in Spreading Vaccine-Critical Information Among Active Twitter Users in the United States: 2017–2019. American Journal of Public Health 2020;110(S3):S319
    CrossRef
  75. 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
    CrossRef
  76. Guess AM, Nyhan B, O’Keeffe Z, Reifler J. The sources and correlates of exposure to vaccine-related (mis)information online. Vaccine 2020;38(49):7799
    CrossRef
  77. Chang C, Monselise M, Yang CC. What Are People Concerned About During the Pandemic? Detecting Evolving Topics about COVID-19 from Twitter. Journal of Healthcare Informatics Research 2021;5(1):70
    CrossRef
  78. Kumar S, Xu C, Ghildayal N, Chandra C, Yang M. Social media effectiveness as a humanitarian response to mitigate influenza epidemic and COVID-19 pandemic. Annals of Operations Research 2022;319(1):823
    CrossRef
  79. Featherstone JD, Zhang J. Feeling angry: the effects of vaccine misinformation and refutational messages on negative emotions and vaccination attitude. Journal of Health Communication 2020;25(9):692
    CrossRef
  80. Spanos KE, Kraschnewski JL, Moss JL, Wong A, Calo WA. Parent support for social media standards combatting vaccine misinformation. Vaccine 2021;39(9):1364
    CrossRef
  81. 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
    CrossRef
  82. 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
    CrossRef
  83. 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
    CrossRef
  84. . From bad to worse II: Risk amplification of the HPV vaccine on Facebook. Vaccine 2021;39(2):303
    CrossRef
  85. Suarez-Lledo V, Alvarez-Galvez J. Prevalence of Health Misinformation on Social Media: Systematic Review. Journal of Medical Internet Research 2021;23(1):e17187
    CrossRef
  86. Injadat M, Moubayed A, Nassif AB, Shami A. Machine learning towards intelligent systems: applications, challenges, and opportunities. Artificial Intelligence Review 2021;54(5):3299
    CrossRef
  87. 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;
    CrossRef
  88. 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
    CrossRef
  89. Du J, Luo C, Shegog R, Bian J, Cunningham RM, Boom JA, Poland GA, Chen Y, Tao C. Use of Deep Learning to Analyze Social Media Discussions About the Human Papillomavirus Vaccine. JAMA Network Open 2020;3(11):e2022025
    CrossRef
  90. Luo C, Shang J, Zhu Y. Internet as a context: Exploring its impacts on scientific optimism in China. Information Development 2022;38(2):310
    CrossRef
  91. Smith TC, Reiss DR. Digging the rabbit hole, COVID-19 edition: anti-vaccine themes and the discourse around COVID-19. Microbes and Infection 2020;22(10):608
    CrossRef
  92. Hernández-García I, Giménez-Júlvez T. YouTube as a Source of Influenza Vaccine Information in Spanish. International Journal of Environmental Research and Public Health 2021;18(2):727
    CrossRef
  93. You S, Jang EJ, Kim M, Lee M, Kang Y, Lee J, Eom J, Jung S. Change Point Analysis for Detecting Vaccine Safety Signals. Vaccines 2021;9(3):206
    CrossRef
  94. Silvert CJ, Warner LA, Loizzo J, Shellhouse J. Social media split testing and message framing: Emerging capacities to encourage residential water conservation. Applied Environmental Education & Communication 2021;20(4):334
    CrossRef
  95. Sundstrom B, Cartmell KB, White AA, Russo N, Well H, Pierce JY, Brandt HM, Roberts JR, Ford ME. HPV Vaccination Champions: Evaluating a Technology-Mediated Intervention for Parents. Frontiers in Digital Health 2021;3
    CrossRef
  96. Allington D, McAndrew S, Moxham-Hall VL, Duffy B. Media usage predicts intention to be vaccinated against SARS-CoV-2 in the US and the UK. Vaccine 2021;39(18):2595
    CrossRef
  97. Borah P, Kim S, Xiao X, Lee DKL. Correcting misinformation using theory-driven messages: HPV vaccine misperceptions, information seeking, and the moderating role of reflection. Atlantic Journal of Communication 2022;30(3):316
    CrossRef
  98. Cataldi JR, O'Leary ST, Markowitz LE, Allison MA, Crane LA, Hurley LP, Brtnikova M, Beaty BL, Gorman C, Meites E, Lindley MC, Kempe A. Changes in Strength of Recommendation and Perceived Barriers to Human Papillomavirus Vaccination: Longitudinal Analysis of Primary Care Physicians, 2008-2018. The Journal of Pediatrics 2021;234:149
    CrossRef
  99. 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
    CrossRef
  100. Koskan A, Cantley A, Li R, Silvestro K, Helitzer D. College Students’ Digital Media Preferences for future HPV Vaccine Campaigns. Journal of Cancer Education 2022;37(6):1743
    CrossRef
  101. Allington D, McAndrew S, Moxham-Hall V, Duffy B. Coronavirus conspiracy suspicions, general vaccine attitudes, trust and coronavirus information source as predictors of vaccine hesitancy among UK residents during the COVID-19 pandemic. Psychological Medicine 2023;53(1):236
    CrossRef
  102. Argyris YA, Monu K, Tan P, Aarts C, Jiang F, Wiseley KA. Using Machine Learning to Compare Provaccine and Antivaccine Discourse Among the Public on Social Media: Algorithm Development Study. JMIR Public Health and Surveillance 2021;7(6):e23105
    CrossRef
  103. . The Coronavirus Intervention in Ethiopia and the Challenges for Implementation. Frontiers in Communication 2021;6
    CrossRef
  104. Limaye RJ, Holroyd TA, Blunt M, Jamison AF, Sauer M, Weeks R, Wahl B, Christenson K, Smith C, Minchin J, Gellin B. Social media strategies to affect vaccine acceptance: a systematic literature review. Expert Review of Vaccines 2021;20(8):959
    CrossRef
  105. Colón-López V, Rivera-Figueroa V, Arroyo-Morales GO, Medina-Laabes DT, Soto-Abreu R, Rivera-Encarnación M, Díaz-Miranda OL, Ortiz AP, Wells KB, Vázquez-Otero C, Hull PC. Content analysis of digital media coverage of the human papillomavirus vaccine school-entry requirement policy in Puerto Rico. BMC Public Health 2021;21(1)
    CrossRef
  106. 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
    CrossRef
  107. Xiao X, Su Y. Integrating Reasoned Action Approach and Message Sidedness in the Era of Misinformation: The Case of HPV Vaccination Promotion. Journal of Health Communication 2021;:1
    CrossRef
  108. 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
    CrossRef
  109. Pivovarova OA, Kuraeva VM. International aspects of anti-vaccination attitude: implications for public health (literature review). HEALTH CARE OF THE RUSSIAN FEDERATION 2022;66(6):542
    CrossRef
  110. 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
    CrossRef
  111. Kohanovski I, Obolski U, Ram Y. Inferring the effective start dates of non-pharmaceutical interventions during COVID-19 outbreaks. International Journal of Infectious Diseases 2022;117:361
    CrossRef
  112. Shaw G, Zimmerman M, Vasquez-Huot L, Karami A. Deciphering Latent Health Information in Social Media Using a Mixed-Methods Design. Healthcare 2022;10(11):2320
    CrossRef
  113. Yeung AWK, Tosevska A, Klager E, Eibensteiner F, Tsagkaris C, Parvanov ED, Nawaz FA, Völkl-Kernstock S, Schaden E, Kletecka-Pulker M, Willschke H, Atanasov AG. Medical and Health-Related Misinformation on Social Media: Bibliometric Study of the Scientific Literature. Journal of Medical Internet Research 2022;24(1):e28152
    CrossRef
  114. Schellack N, Strydom M, Pepper MS, Herd CL, Hendricks CL, Bronkhorst E, Meyer JC, Padayachee N, Bangalee V, Truter I, Ellero AA, Myaka T, Naidoo E, Godman B. Social Media and COVID-19—Perceptions and Public Deceptions of Ivermectin, Colchicine and Hydroxychloroquine: Lessons for Future Pandemics. Antibiotics 2022;11(4):445
    CrossRef
  115. 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
    CrossRef
  116. Qin L, Zhang X, Wu A, Miser JS, Liu Y, Hsu JC, Shia B, Ye L. Association Between Social Media Use and Cancer Screening Awareness and Behavior for People Without a Cancer Diagnosis: Matched Cohort Study. Journal of Medical Internet Research 2021;23(8):e26395
    CrossRef
  117. Bhagavathula AS, Massey PM. Google Trends on Human Papillomavirus Vaccine Searches in the United States From 2010 to 2021: Infodemiology Study. JMIR Public Health and Surveillance 2022;8(8):e37656
    CrossRef
  118. Christou-Ergos M, Wiley KE, Leask J, Shapiro GK. Traumatic Events and Vaccination Decisions: A Systematic Review. Vaccines 2022;10(6):911
    CrossRef
  119. R. Ganie A, Mukhter I. Misinformation induced anxieties and fear affecting vaccination programs: Challenge for COVID-19 vaccination program. Journal of Family Medicine and Primary Care 2022;11(1):405
    CrossRef
  120. Sonawane K, Zhu Y, Lin Y, Damgacioglu H, Lin Y, Montealegre JR, Deshmukh AA. HPV Vaccine Recommendations and Parental Intent. Pediatrics 2021;147(3)
    CrossRef
  121. Fuss TL, Devera JL, Pierre-Joseph N, Perkins RB. Attitudes and Communication Preferences for Vaccines among Pregnant Women Receiving Care at a Safety-net Hospital. Women's Health Issues 2022;32(1):67
    CrossRef
  122. 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
    CrossRef
  123. Calabro' GE, Carini E, Tognetto A, Giacchetta I, Bonanno E, Mariani M, Ricciardi W, de Waure C. The Value(s) of Vaccination: Building the Scientific Evidence According to a Value-Based Healthcare Approach. Frontiers in Public Health 2022;10
    CrossRef
  124. Ritschl V, Eibensteiner F, Mosor E, Omara M, Sperl L, Nawaz FA, Siva Sai C, Cenanovic M, Devkota HP, Hribersek M, De R, Klager E, Schaden E, Kletecka-Pulker M, Völkl-Kernstock S, Willschke H, Aufricht C, Atanasov AG, Stamm T. Mandatory Vaccination Against COVID-19: Twitter Poll Analysis on Public Health Opinion. JMIR Formative Research 2022;6(6):e35754
    CrossRef
  125. Ojea Quintana I, Reimann R, Cheong M, Alfano M, Klein C, Kermani H. Polarization and trust in the evolution of vaccine discourse on Twitter during COVID-19. PLOS ONE 2022;17(12):e0277292
    CrossRef
  126. Christou-Ergos M, Wiley KE, Leask J. Willingness to receive a vaccine is influenced by adverse events following immunisation experienced by others. Vaccine 2023;41(1):246
    CrossRef
  127. Shay LA, Baldwin AS, Betts AC, Marks EG, Higashi RT, Street RL, Persaud D, Tiro JA. Parent-Provider Communication of HPV Vaccine Hesitancy. Pediatrics 2018;141(6)
    CrossRef
  128. Kim SJ, Schiffelbein JE, Imset I, Olson AL. Countering Antivax Misinformation via Social Media: Message-Testing Randomized Experiment for Human Papillomavirus Vaccination Uptake. Journal of Medical Internet Research 2022;24(11):e37559
    CrossRef
  129. PAK GÜRE MD, KARATAŞ M, BAŞCILLAR M. “HPV Aşısı Haktır”: Halk Sağlığı Sosyal Hizmeti Perspektifinden HPV İle İlgili Tweetlerin Analizi. Toplum ve Sosyal Hizmet 2022;33(3):955
    CrossRef
  130. Smith J, Braithwaite J, O’Brien TA, Smith S, Tyrrell VJ, Mould EVA, Long JC, Rapport F. Re-Imagining the Data Collection and Analysis Research Process by Proposing a Rapid Qualitative Data Collection and Analytic Roadmap Applied to the Dynamic Context of Precision Medicine. International Journal of Qualitative Methods 2022;21:160940692211030
    CrossRef
  131. Ock H, Seong M, Kim I. Adapting and Validating the COVID-19 Vaccine Hesitancy and Vaccine Conspiracy Beliefs Scales in Korea. Healthcare 2022;10(11):2274
    CrossRef
  132. Benoit SL, Mauldin RF. The “anti-vax” movement: a quantitative report on vaccine beliefs and knowledge across social media. BMC Public Health 2021;21(1)
    CrossRef
  133. Borah P, Su Y, Xiao X, Lai Lee DK. Incidental news exposure and COVID-19 misperceptions: A moderated-mediation model. Computers in Human Behavior 2022;129:107173
    CrossRef
  134. Oh S, Lee C, Park A. Trust Matters: The Effects of Social Media Use on the Public’s Health Policy Support Through (mis)beliefs in the Context of HPV Vaccination. Health Communication 2023;38(12):2628
    CrossRef
  135. Melchior C, Oliveira M. Health-related fake news on social media platforms: A systematic literature review. New Media & Society 2022;24(6):1500
    CrossRef
  136. Choi J, Tamí-Maury I, Cuccaro P, Kim S, Markham C. Digital Health Interventions to Improve Adolescent HPV Vaccination: A Systematic Review. Vaccines 2023;11(2):249
    CrossRef
  137. Kempe A, O’Leary ST, Markowitz LE, Crane LA, Hurley LP, Brtnikova M, Beaty BL, Meites E, Stokley S, Lindley MC. HPV Vaccine Delivery Practices by Primary Care Physicians. Pediatrics 2019;144(4)
    CrossRef
  138. Teplinsky E, Ponce SB, Drake EK, Garcia AM, Loeb S, van Londen G, Teoh D, Thompson M, Schapira L. Online Medical Misinformation in Cancer: Distinguishing Fact From Fiction. JCO Oncology Practice 2022;18(8):584
    CrossRef
  139. Kwon S, Park A. Examining thematic and emotional differences across Twitter, Reddit, and YouTube: The case of COVID-19 vaccine side effects. Computers in Human Behavior 2023;144:107734
    CrossRef
  140. Paramés-Estévez S, Carballosa A, Garcia-Selfa D, Munuzuri A. Artificial Intelligence Techniques Used to Extract Relevant Information from Complex Social Networks. Entropy 2023;25(3):507
    CrossRef
  141. Berkowitz HE, Vann JCJ. Strategies to Address COVID-19 Vaccine and Pregnancy Myths. MCN: The American Journal of Maternal/Child Nursing 2023;48(4):215
    CrossRef
  142. Boucher J, Kim SY, Jessiman-Perreault G, Edwards J, Smith H, Frenette N, Badami A, Scott LA. HPV vaccine narratives on Twitter during the COVID-19 pandemic: a social network, thematic, and sentiment analysis. BMC Public Health 2023;23(1)
    CrossRef
  143. Sano Y, Hori A, Kolahi J. 12-year observation of tweets about rubella in Japan: A retrospective infodemiology study. PLOS ONE 2023;18(5):e0285101
    CrossRef
  144. Martínez-Martinez L, González JIN, Cambra UC. Preferences of Young People in the Use of Facebook as a Health Education Tool for HPV. European Journal of Interdisciplinary Studies 2023;9(2):75
    CrossRef
  145. Kopsco HL, Krell RK, Mather TN, Connally NP. Identifying Trusted Sources of Lyme Disease Prevention Information Among Internet Users Connected to Academic Public Health Resources: Internet-Based Survey Study. JMIR Formative Research 2023;7:e43516
    CrossRef
  146. Lim HM, Ng CJ, Abdullah A, Dunn AG. How do patients with high cardiovascular risk evaluate online health information? A qualitative study. BMC Primary Care 2023;24(1)
    CrossRef
  147. Campbell H, Paterson P, Letley L, Saliba V, Mounier-Jack S, Yarwood J. Vaccination, information and parental confidence in the digital age in England. Vaccine: X 2023;14:100345
    CrossRef
  148. Alghalyini B, Garatli T, Hamoor R, Ibrahim L, Elmehallawy Y, Hamze D, Abbara Z, Zaidi ARZ. Hesitance and Misconceptions about the Annual Influenza Vaccine among the Saudi Population Post-COVID-19. Vaccines 2023;11(10):1595
    CrossRef
  149. Alkış Küçükaydın M, Esen S, Gürbüzer S. Did we trust in science during the COVID‐19 pandemic? Modeling the relationship between trust, awareness, and conspiracy theories. Applied Cognitive Psychology 2023;37(6):1266
    CrossRef
  150. Tay WC, Bewley A, Maul J, Oon HH. Attitudes towards COVID Vaccine and Vaccine Hesitancy in Dermatology: A Narrative Review. Vaccines 2023;11(8):1365
    CrossRef
  151. Dunn AG, Purnat TD, Ishizumi A, Nguyen T, Briand S. Measuring the burden of infodemics with a research toolkit for connecting information exposure, trust, and health behaviours. Archives of Public Health 2023;81(1)
    CrossRef
  152. Terada M, Okuhara T, Nagasawa T, Okada H, Goto E, Kiuchi T. Public perception of the resumption of HPV vaccine recommendation in Japan: Twitter content analysis. Health Promotion International 2023;38(6)
    CrossRef
  153. Khan S, Biswas MR, Shah Z. Longitudinal analysis of behavioral factors and techniques used to identify vaccine hesitancy among Twitter users: Scoping review. Human Vaccines & Immunotherapeutics 2023;19(3)
    CrossRef
  154. Paul JA, Zhang M, Yang M, Xu C. Improving disaster relief plans for hurricanes with social media. Journal of the Operational Research Society 2023;:1
    CrossRef
  155. Naseem U, Rashid J, Ali L, Kim J, Haq QEU, Awan MJ, Imran M. An Automatic Detection of Breast Cancer Diagnosis and Prognosis Based on Machine Learning Using Ensemble of Classifiers. IEEE Access 2022;10:78242
    CrossRef
  156. Kosic A, Kana Kenfack CS, Dionisi E. The relationship between populism and attitudes on vaccine against COVID‐19: Trust in institutions as a moderation factor. Analyses of Social Issues and Public Policy 2024;24(1):150
    CrossRef
  157. Ma H, Lee EW, Xie L, Lee HH, Hui KH, Mo PK, Xin M. Examining the Roles of Social Media Information Exposure and Seeking on COVID-19 Vaccination through the S-O-R Model: A Two-wave Panel in Hong Kong. Computers in Human Behavior 2024;:108243
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.4343):

  1. Malagón T, Franco EL. Recurrent Respiratory Papillomatosis. 2018. Chapter 5:59
    CrossRef
  2. Zhang H, Wheldon C, Tao C, Dunn AG, Guo Y, Huo J, Bian J. Social Web and Health Research. 2019. Chapter 11:207
    CrossRef
  3. . Body Sensations. 2021. Chapter 9:315
    CrossRef
  4. Hoffman BL, Sidani JE, Burke JG, Chu K, Felter EM. Vaccine Communication Online. 2023. Chapter 2:11
    CrossRef
  5. Wang Y, Thier K, Nan X. Vaccine Communication Online. 2023. Chapter 3:35
    CrossRef
  6. Tay WC, Bewley A, Maul J, Oon HH. COVID-19 in Dermatology. 2023. Chapter 13:133
    CrossRef