Published on in Vol 18, No 8 (2016): August

Characterizing Twitter Discussions About HPV Vaccines Using Topic Modeling and Community Detection

Characterizing Twitter Discussions About HPV Vaccines Using Topic Modeling and Community Detection

Characterizing Twitter Discussions About HPV Vaccines Using Topic Modeling and Community Detection

Journals

  1. Xu Z. Personal stories matter: topic evolution and popularity among pro- and anti-vaccine online articles. Journal of Computational Social Science 2019;2(2):207 View
  2. 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
  3. Shah Z, Surian D, Dyda A, Coiera E, Mandl K, Dunn A. 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 View
  4. Dyda A, Shah Z, Surian D, Martin P, Coiera E, Dey A, Leask J, Dunn A. HPV vaccine coverage in Australia and associations with HPV vaccine information exposure among Australian Twitter users. Human Vaccines & Immunotherapeutics 2019;15(7-8):1488 View
  5. 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
  6. Paul M, Dredze M. Social Monitoring for Public Health. Synthesis Lectures on Information Concepts, Retrieval, and Services 2017;9(5):1 View
  7. 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
  8. 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
  9. Zhang J, Centola D. Social Networks and Health: New Developments in Diffusion, Online and Offline. Annual Review of Sociology 2019;45(1):91 View
  10. Liu C, Lu X. Analyzing hidden populations online: topic, emotion, and social network of HIV-related users in the largest Chinese online community. BMC Medical Informatics and Decision Making 2018;18(1) View
  11. Huang M, ElTayeby O, Zolnoori M, Yao L. Public Opinions Toward Diseases: Infodemiological Study on News Media Data. Journal of Medical Internet Research 2018;20(5):e10047 View
  12. 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
  13. Zhang R, Fu J. Linking Network Characteristics of Online Social Networks to Individual Health: A Systematic Review of Literature. Health Communication 2020:1 View
  14. Toor R, Chana I. Network Analysis as a Computational Technique and Its Benefaction for Predictive Analysis of Healthcare Data: A Systematic Review. Archives of Computational Methods in Engineering 2020 View
  15. Son Y, Kang H. A Text Mining Analysis of HPV Vaccination Research Trends. Child Health Nursing Research 2019;25(4):458 View
  16. 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
  17. Hong J, Tamakloe R, Lee G, Park D. Insight from Scientific Study in Logistics using Text Mining. Transportation Research Record: Journal of the Transportation Research Board 2019;2673(4):97 View
  18. Mavragani A. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206 View
  19. Rains S. Big Data, Computational Social Science, and Health Communication: A Review and Agenda for Advancing Theory. Health Communication 2020;35(1):26 View
  20. Chen T, Dredze M. Vaccine Images on Twitter: Analysis of What Images are Shared. Journal of Medical Internet Research 2018;20(4):e130 View
  21. Jelodar H, Wang Y, Rabbani M, Xiao G, Zhao R. A Collaborative Framework Based for Semantic Patients-Behavior Analysis and Highlight Topics Discovery of Alcoholic Beverages in Online Healthcare Forums. Journal of Medical Systems 2020;44(5) View
  22. Al-Yazidi S, Berri J, Al-Qurishi M, Al-Alrubaian M. Measuring Reputation and Influence in Online Social Networks: A Systematic Literature Review. IEEE Access 2020;8:105824 View
  23. 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
  24. Hwang Y, Kim H, Choi H, Lee J. Exploring Abnormal Behavior Patterns of Online Users With Emotional Eating Behavior: Topic Modeling Study. Journal of Medical Internet Research 2020;22(3):e15700 View
  25. Hall G, Bialek W. The statistical mechanics of Twitter communities. Journal of Statistical Mechanics: Theory and Experiment 2019;2019(9):093406 View
  26. 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
  27. Raghupathi V, Zhou Y, Raghupathi W. Exploring Big Data Analytic Approaches to Cancer Blog Text Analysis. International Journal of Healthcare Information Systems and Informatics 2019;14(4):1 View
  28. 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
  29. 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
  30. Bednarczyk R. Addressing HPV vaccine myths: practical information for healthcare providers. Human Vaccines & Immunotherapeutics 2019;15(7-8):1628 View
  31. 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
  32. 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
  33. Zhang J, Le G, Larochelle D, Pasick R, Sawaya G, Sarkar U, Centola D. Facts or stories? How to use social media for cervical cancer prevention: A multi-method study of the effects of sender type and content type on increased message sharing. Preventive Medicine 2019;126:105751 View
  34. Jamison A, Broniatowski D, Smith M, Parikh K, Malik A, Dredze M, Quinn S. Adapting and Extending a Typology to Identify Vaccine Misinformation on Twitter. American Journal of Public Health 2020;110(S3):S331 View
  35. 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
  36. Leis A, Ronzano F, Mayer M, Furlong L, Sanz F. Evaluating Behavioral and Linguistic Changes During Drug Treatment for Depression Using Tweets in Spanish: Pairwise Comparison Study. Journal of Medical Internet Research 2020;22(12):e20920 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. Gallagher J, Lawrence H. Rhetorical Appeals and Tactics in New York Times Comments About Vaccines: Qualitative Analysis. Journal of Medical Internet Research 2020;22(12):e19504 View
  39. 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
  40. Du J, Luo C, Shegog R, Bian J, Cunningham R, Boom J, Poland G, 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 View
  41. Kwok S, Vadde S, Wang G. Twitter Speaks: An Analysis of Australian Twitter Users' Topics and Sentiments About COVID-19 Vaccination Using Machine Learning (Preprint). Journal of Medical Internet Research 2021 View
  42. Tacheva Z, Ivanov A. Exploring the Association Between the “Big Five” Personality Traits and Fatal Opioid Overdose: County-Level Empirical Analysis. JMIR Mental Health 2021;8(3):e24939 View
  43. Massaro M, Tamburro P, La Torre M, Dal Mas F, Thomas R, Cobianchi L, Barach P. Non-pharmaceutical Interventions and the Infodemic on Twitter: Lessons Learned from Italy during the Covid-19 Pandemic. Journal of Medical Systems 2021;45(4) View

Books/Policy Documents

  1. Kasthurirathne S, Ho Y, Dixon B. Public Health Informatics and Information Systems. View
  2. Panizo-LLedot A, Torregrosa J, Bello-Orgaz G, Thorburn J, Camacho D. Complex Networks and Their Applications VIII. View
  3. Zhang H, Wheldon C, Tao C, Dunn A, Guo Y, Huo J, Bian J. Social Web and Health Research. View
  4. Wang K, He C, Wang L, Wu J. Knowledge and Systems Sciences. View