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

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

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

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

Journals

  1. Bian J, Zhao Y, Salloum R, Guo Y, Wang M, Prosperi M, Zhang H, Du X, Ramirez-Diaz L, He Z, Sun Y. Using Social Media Data to Understand the Impact of Promotional Information on Laypeople’s Discussions: A Case Study of Lynch Syndrome. Journal of Medical Internet Research 2017;19(12):e414 View
  2. Visweswaran S, Colditz J, O’Halloran P, Han N, Taneja S, Welling J, Chu K, Sidani J, Primack B. Machine Learning Classifiers for Twitter Surveillance of Vaping: Comparative Machine Learning Study. Journal of Medical Internet Research 2020;22(8):e17478 View
  3. Puri N, Coomes E, Haghbayan H, Gunaratne K. Social media and vaccine hesitancy: new updates for the era of COVID-19 and globalized infectious diseases. Human Vaccines & Immunotherapeutics 2020;16(11):2586 View
  4. 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
  5. Pemmaraju N, Thompson M, Qazilbash M. Disease-specific hashtags and the creation of Twitter medical communities in hematology and oncology. Seminars in Hematology 2017;54(4):189 View
  6. Teoh D, Shaikh R, Vogel R, 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 View
  7. Kearney M, Selvan P, Hauer M, Leader A, Massey P. Characterizing HPV Vaccine Sentiments and Content on Instagram. Health Education & Behavior 2019;46(2_suppl):37S View
  8. Lama Y, Chen T, Dredze M, Jamison A, Quinn S, Broniatowski D. Discordance Between Human Papillomavirus Twitter Images and Disparities in Human Papillomavirus Risk and Disease in the United States: Mixed-Methods Analysis. Journal of Medical Internet Research 2018;20(9):e10244 View
  9. 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):107327481989144 View
  10. Featherstone J, Ruiz J, Barnett G, Millam B. Exploring childhood vaccination themes and public opinions on Twitter: A semantic network analysis. Telematics and Informatics 2020;54:101474 View
  11. Le G, Radcliffe K, Lyles C, Lyson H, Wallace B, Sawaya G, Pasick R, Centola D, Sarkar U, Gruebner O. Perceptions of cervical cancer prevention on Twitter uncovered by different sampling strategies. PLOS ONE 2019;14(2):e0211931 View
  12. Ortiz R, 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 View
  13. Su Z, Chengbo Z, Mackert M. Understanding the influenza vaccine as a consumer health technology: a structural equation model of motivation, behavioral expectation, and vaccine adoption. Journal of Communication in Healthcare 2019;12(3-4):170 View
  14. Teoh D. The Power of Social Media for HPV Vaccination–Not Fake News!. American Society of Clinical Oncology Educational Book 2019;(39):75 View
  15. Stephens A, Wynn C, Stockwell M. Understanding the use of digital technology to promote human papillomavirus vaccination – A RE-AIM framework approach. Human Vaccines & Immunotherapeutics 2019;15(7-8):1549 View
  16. Kunneman F, Lambooij M, Wong A, Bosch A, Mollema L. Monitoring stance towards vaccination in twitter messages. BMC Medical Informatics and Decision Making 2020;20(1) View
  17. Rosen B, Wheldon C, Thompson E, Maness S, Massey P. Social media engagement association with human papillomavirus and vaccine awareness and perceptions: Results from the 2017 US Health Information National Trends Survey. Preventive Medicine 2020;138:106151 View
  18. Zhao Y, Cheng S, Yu X, Xu H. Chinese Public's Attention to the COVID-19 Epidemic on Social Media: Observational Descriptive Study. Journal of Medical Internet Research 2020;22(5):e18825 View
  19. 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
  20. Chakraborty P, Colditz J, Silvestre A, Friedman M, Bogen K, Primack B, Lee A. Observation of public sentiment toward human papillomavirus vaccination on Twitter. Cogent Medicine 2017;4(1):1390853 View
  21. Ernst K, Shelby A. Social Media in the Exam Room: Stories of Human Papillomavirus Disease and Prevention. Academic Pediatrics 2018;18(2):S19 View
  22. Toloza F, Espinoza Suarez N, El Kawkgi O, Golembiewski E, Ponce O, Yao L, Maraka S, Singh Ospina N, Brito J. Patient Experiences and Perceptions Associated with the Use of Desiccated Thyroid Extract. Medicina 2020;56(4):161 View
  23. Himelboim I, Xiao X, Lee D, Wang M, 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 View
  24. Li J, Zheng H. Coverage of HPV-Related Information on Chinese Social Media: a Content Analysis of Articles in Zhihu. Human Vaccines & Immunotherapeutics 2020;16(10):2548 View
  25. Chen T, Dredze M. Vaccine Images on Twitter: Analysis of What Images are Shared. Journal of Medical Internet Research 2018;20(4):e130 View
  26. Edo-Osagie O, De La Iglesia B, Lake I, Edeghere O. A scoping review of the use of Twitter for public health research. Computers in Biology and Medicine 2020;122:103770 View
  27. dos Santos B, Steiner M, Fenerich A, Lima R. Data mining and machine learning techniques applied to public health problems: A bibliometric analysis from 2009 to 2018. Computers & Industrial Engineering 2019;138:106120 View
  28. Budenz A, Klassen A, Leader A, Fisher K, Yom-Tov E, Massey P. HPV vaccine, Twitter, and gay, bisexual and other men who have sex with men. Health Promotion International 2020;35(2):290 View
  29. Mavragani A. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206 View
  30. Metwally O, Blumberg S, Ladabaum U, Sinha S. 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 View
  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 View
  32. Myhre A, Xiong T, Vogel R, 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 View
  33. Massey P, Kearney M, Hauer M, Selvan P, Koku E, Leader A. 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 View
  34. Calo W, Gilkey M, Shah P, Dyer A, Margolis M, Dailey S, Brewer N. Misinformation and other elements in HPV vaccine tweets: an experimental comparison. Journal of Behavioral Medicine 2021;44(3):310 View
  35. Lama Y, Quinn S, 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 View
  36. Piedrahita-Valdés H, Piedrahita-Castillo D, Bermejo-Higuera J, Guillem-Saiz P, Bermejo-Higuera J, Guillem-Saiz J, Sicilia-Montalvo J, Machío-Regidor F. Vaccine Hesitancy on Social Media: Sentiment Analysis from June 2011 to April 2019. Vaccines 2021;9(1):28 View
  37. Karafillakis E, Martin S, Simas C, Olsson K, Takacs J, Dada S, Larson H. Methods for Social Media Monitoring Related to Vaccination: Systematic Scoping Review. JMIR Public Health and Surveillance 2021;7(2):e17149 View
  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 View
  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 View
  40. Rodríguez-González A, Tuñas J, Prieto Santamaría L, Fernández Peces-Barba D, Menasalvas Ruiz E, Jaramillo A, Cotarelo M, Conejo Fernández A, 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 View
  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 View
  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 View
  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 View
  44. To Q, To K, Huynh V, Nguyen N, Ngo D, Alley S, Tran A, Tran A, Pham N, Bui T, 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 View
  45. Eibensteiner F, Ritschl V, Nawaz F, Fazel S, Tsagkaris C, Kulnik S, Crutzen R, Klager E, Völkl-Kernstock S, Schaden E, Kletecka-Pulker M, Willschke H, Atanasov A. People’s Willingness to Vaccinate Against COVID-19 Despite Their Safety Concerns: Twitter Poll Analysis. Journal of Medical Internet Research 2021;23(4):e28973 View
  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 View
  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 View
  48. Zhang J, Xue H, Calabrese C, Chen H, Dang J. Understanding Human Papillomavirus Vaccine Promotions and Hesitancy in Northern California Through Examining Public Facebook Pages and Groups. Frontiers in Digital Health 2021;3 View

Books/Policy Documents

  1. Zhang H, Wheldon C, Tao C, Dunn A, Guo Y, Huo J, Bian J. Social Web and Health Research. View
  2. Chen X, Hao T. Social Web and Health Research. View