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

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

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

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

Journals

  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 View
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  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 View
  7. Perkins R, Fisher-Borne M, Brewer N. Engaging parents around vaccine confidence: proceedings from the National HPV Vaccination Roundtable meetings. Human Vaccines & Immunotherapeutics 2019;15(7-8):1639 View
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  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 View
  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) View
  11. Abdar M, Zomorodi-Moghadam M, Zhou X, Gururajan R, Tao X, Barua P, Gururajan R. A new nested ensemble technique for automated diagnosis of breast cancer. Pattern Recognition Letters 2020;132:123 View
  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 View
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  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 View
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  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 View
  22. Marcon A, Murdoch B, Caulfield T. Fake News Portrayals of Stem Cells and Stem Cell Research. Regenerative Medicine 2017;12(7):765 View
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  24. Davis M, Zheng K, Liu Y, Levy H. Public Response to Obamacare on Twitter. Journal of Medical Internet Research 2017;19(5):e167 View
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  27. Amith M, Tao C. Representing vaccine misinformation using ontologies. Journal of Biomedical Semantics 2018;9(1) View
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  38. Sodemann M. Celebrities, cows and contagious ideas about vaccines. Scandinavian Journal of Public Health 2018;46(2):189 View
  39. Son Y, Kang H. A Text Mining Analysis of HPV Vaccination Research Trends. Child Health Nursing Research 2019;25(4):458 View
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  41. Surian D, Nguyen D, Kennedy G, Johnson M, Coiera E, Dunn A. Characterizing Twitter Discussions About HPV Vaccines Using Topic Modeling and Community Detection. Journal of Medical Internet Research 2016;18(8):e232 View
  42. Shapiro G, 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 View
  43. Massey P, Budenz A, Leader A, Fisher K, Klassen A, Yom-Tov E. What Drives Health Professionals to Tweet About #HPVvaccine? Identifying Strategies for Effective Communication. Preventing Chronic Disease 2018;15 View
  44. Massey P, Leader A, Yom-Tov E, Budenz A, Fisher K, Klassen A. Applying Multiple Data Collection Tools to Quantify Human Papillomavirus Vaccine Communication on Twitter. Journal of Medical Internet Research 2016;18(12):e318 View
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  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 View
  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) View
  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 View
  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 View
  50. Tangherlini T, Roychowdhury V, Glenn B, Crespi C, 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 View
  51. Alfano M, Fard A, Carter J, Clutton P, Klein C. Technologically scaffolded atypical cognition: the case of YouTube’s recommender system. Synthese 2021;199(1-2):835 View
  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) View
  53. Waters E, Wheeler C, Hamilton J. 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 View
  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 View
  55. Milani E, Weitkamp E, Webb P. The Visual Vaccine Debate on Twitter: A Social Network Analysis. Media and Communication 2020;8(2):364 View
  56. Mueller-Herbst J, Xenos M, Scheufele D, Brossard D. Saw It on Facebook: The Role of Social Media in Facilitating Science Issue Awareness. Social Media + Society 2020;6(2) View
  57. Moran M, 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 View
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  59. Deiner M, Fathy C, Kim J, Niemeyer K, Ramirez D, Ackley S, Liu F, Lietman T, Porco T. Facebook and Twitter vaccine sentiment in response to measles outbreaks. Health Informatics Journal 2019;25(3):1116 View
  60. Brewer N, Chapman G, Rothman A, Leask J, Kempe A. Increasing Vaccination: Putting Psychological Science Into Action. Psychological Science in the Public Interest 2017;18(3):149 View
  61. Amith M, Cohen T, Cunningham R, Savas L, 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) View
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  64. Margolis M, Brewer N, Shah P, Calo W, Gilkey M. Stories about HPV vaccine in social media, traditional media, and conversations. Preventive Medicine 2019;118:251 View
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  69. Ward J, Peretti-Watel P, Verger P. Vaccine criticism on the internet: Propositions for future research. Human Vaccines & Immunotherapeutics 2016:1 View
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  71. Gunaratne K, Coomes E, Haghbayan H. Temporal trends in anti-vaccine discourse on Twitter. Vaccine 2019;37(35):4867 View
  72. Ghenai A, Mejova Y. Fake Cures. Proceedings of the ACM on Human-Computer Interaction 2018;2(CSCW):1 View
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  74. Dunn A, Surian D, Dalmazzo J, Rezazadegan D, Steffens M, Dyda A, Leask J, Coiera E, Dey A, Mandl K. 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 View
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  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 View
  135. Melchior C, Oliveira M. Health-related fake news on social media platforms: A systematic literature review. New Media & Society 2022;24(6):1500 View
  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 View
  137. Kempe A, O’Leary S, Markowitz L, Crane L, Hurley L, Brtnikova M, Beaty B, Meites E, Stokley S, Lindley M. HPV Vaccine Delivery Practices by Primary Care Physicians. Pediatrics 2019;144(4) View
  138. Teplinsky E, Ponce S, Drake E, Garcia A, 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 View
  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 View
  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 View
  141. Berkowitz H, Vann J. Strategies to Address COVID-19 Vaccine and Pregnancy Myths. MCN: The American Journal of Maternal/Child Nursing 2023;48(4):215 View
  142. Boucher J, Kim S, Jessiman-Perreault G, Edwards J, Smith H, Frenette N, Badami A, Scott L. HPV vaccine narratives on Twitter during the COVID-19 pandemic: a social network, thematic, and sentiment analysis. BMC Public Health 2023;23(1) View
  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 View
  144. Martínez-Martinez L, González J, Cambra U. 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 View
  145. Kopsco H, Krell R, Mather T, Connally N. 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 View
  146. Lim H, Ng C, Abdullah A, Dunn A. How do patients with high cardiovascular risk evaluate online health information? A qualitative study. BMC Primary Care 2023;24(1) View
  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 View
  148. Alghalyini B, Garatli T, Hamoor R, Ibrahim L, Elmehallawy Y, Hamze D, Abbara Z, Zaidi A. Hesitance and Misconceptions about the Annual Influenza Vaccine among the Saudi Population Post-COVID-19. Vaccines 2023;11(10):1595 View
  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 View
  150. Tay W, Bewley A, Maul J, Oon H. Attitudes towards COVID Vaccine and Vaccine Hesitancy in Dermatology: A Narrative Review. Vaccines 2023;11(8):1365 View
  151. Dunn A, Purnat T, 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) View
  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) View
  153. Khan S, Biswas M, 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) View
  154. Paul J, Zhang M, Yang M, Xu C. Improving disaster relief plans for hurricanes with social media. Journal of the Operational Research Society 2024;75(10):1965 View
  155. Naseem U, Rashid J, Ali L, Kim J, Haq Q, Awan M, Imran M. An Automatic Detection of Breast Cancer Diagnosis and Prognosis Based on Machine Learning Using Ensemble of Classifiers. IEEE Access 2022;10:78242 View
  156. Kosic A, Kana Kenfack C, 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 View
  157. Ma H, Lee E, Xie L, Lee H, Hui K, Mo P, 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;157:108243 View
  158. Shapiro G, Surian D, Dunn A, Perry R, Kelaher M. Comparing human papillomavirus vaccine concerns on Twitter: a cross-sectional study of users in Australia, Canada and the UK. BMJ Open 2017;7(10):e016869 View
  159. Rahman A, Mohammadi E, Alhoori H. Cutting through the noise to motivate people: A comprehensive analysis of COVID-19 social media posts de/motivating vaccination. Natural Language Processing Journal 2024;8:100085 View
  160. Smith S, Sivertsen N, Lines L, De Bellis A. Exploring social media influences on vaccine decision-making in parents: a netnography. Therapeutic Advances in Vaccines and Immunotherapy 2024;12 View
  161. Bhagavathula A, Daglis T, Chattu V. Temporal trends in online searches related to COVID-19 vaccine safety: A digital infodemiology study. Health Promotion Perspectives 2024;14(3):304 View

Books/Policy Documents

  1. Malagón T, Franco E. Recurrent Respiratory Papillomatosis. View
  2. Zhang H, Wheldon C, Tao C, Dunn A, Guo Y, Huo J, Bian J. Social Web and Health Research. View
  3. Köteles F. Body Sensations. View
  4. Hoffman B, Sidani J, Burke J, Chu K, Felter E. Vaccine Communication Online. View
  5. Wang Y, Thier K, Nan X. Vaccine Communication Online. View
  6. Tay W, Bewley A, Maul J, Oon H. COVID-19 in Dermatology. View