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

Special Issue (2017) "Mining Online Health Reports" (Guest Editor: Collier, Cox, Limsopatham, Lampos, Culotta, Conway) (5) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1570) Infodemiology and Infoveillance (1274) Mass Media/Social Media Communication and Campaigns (448) Vaccination and Immunization in the Digital Age (346) Parent and Caregiver Education and Behavior Change for Vaccination (71)

Published on in Vol 20, No 4 (2018): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/8221, first published .
Vaccine Images on Twitter: Analysis of What Images are Shared

Vaccine Images on Twitter: Analysis of What Images are Shared

Vaccine Images on Twitter: Analysis of What Images are Shared

Authors of this article:

Tao Chen1 Author Orcid Image ;   Mark Dredze1 Author Orcid Image
Article Authors Cited by (54) Tweetations (27) Metrics

Journals

  1. Nanne A, Antheunis M, Van Der Lee C, Postma E, Wubben S, Van Noort G. The Use of Computer Vision to Analyze Brand-Related User Generated Image Content. Journal of Interactive Marketing 2020;50(1):156 View
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  5. Catalan-Matamoros D, Peñafiel-Saiz C. A visual content analysis of vaccine coverage in the print media. Human Vaccines & Immunotherapeutics 2019;15(10):2453 View
  6. Mavragani A, Ochoa G. Google Trends in Infodemiology and Infoveillance: Methodology Framework. JMIR Public Health and Surveillance 2019;5(2):e13439 View
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  8. Broniatowski D, Reyna V. To illuminate and motivate: a fuzzy-trace model of the spread of information online. Computational and Mathematical Organization Theory 2020;26(4):431 View
  9. 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
  10. Mavragani A, Ochoa G, Tsagarakis K. Assessing the Methods, Tools, and Statistical Approaches in Google Trends Research: Systematic Review. Journal of Medical Internet Research 2018;20(11):e270 View
  11. Milani E, Weitkamp E, Webb P. The Visual Vaccine Debate on Twitter: A Social Network Analysis. Media and Communication 2020;8(2):364 View
  12. Nobles A, Leas E, Noar S, Dredze M, Latkin C, Strathdee S, Ayers J, Gruebner O. Automated image analysis of instagram posts: Implications for risk perception and communication in public health using a case study of #HIV. PLOS ONE 2020;15(5):e0231155 View
  13. Nobles A, Leas E, Latkin C, Dredze M, Strathdee S, Ayers J. #HIV: Alignment of HIV-Related Visual Content on Instagram with Public Health Priorities in the US. AIDS and Behavior 2020;24(7):2045 View
  14. 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
  15. Cho H, Silver N, Na K, Adams D, Luong K, Song C. Visual Cancer Communication on Social Media: An Examination of Content and Effects of #Melanomasucks. Journal of Medical Internet Research 2018;20(9):e10501 View
  16. 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
  17. 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
  18. Gil S. Could vaccine hesitancy prolong the pandemic?. Journal of Science & Popular Culture 2020;3(2):125 View
  19. Tárraga-Mínguez R, Gómez-Marí I, Sanz-Cervera P. What Motivates Internet Users to Search for Asperger Syndrome and Autism on Google?. International Journal of Environmental Research and Public Health 2020;17(24):9386 View
  20. Kim Y, Song D, Lee Y. #Antivaccination on Instagram: A Computational Analysis of Hashtag Activism through Photos and Public Responses. International Journal of Environmental Research and Public Health 2020;17(20):7550 View
  21. Leader A, Burke-Garcia A, Massey P, Roark J. Understanding the messages and motivation of vaccine hesitant or refusing social media influencers. Vaccine 2021;39(2):350 View
  22. 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
  23. Guidry J, Austin L, O’Donnell N, Coman I, Lovari A, Messner M. Tweeting the #flushot: Beliefs, Barriers, and Threats During Different Periods of the 2018 to 2019 Flu Season. Journal of Primary Care & Community Health 2020;11:215013272093272 View
  24. 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
  25. Hönings H, Knapp D, Nguyễn B, Richter D, Williams K, Dorsch I, Fietkiewicz K. Health information diffusion on Twitter: The content and design of WHO tweets matter. Health Information & Libraries Journal 2022;39(1):22 View
  26. Benedict J, Derkay C. Recurrent respiratory papillomatosis: A 2020 perspective. Laryngoscope Investigative Otolaryngology 2021;6(2):340 View
  27. Miller M, Romine W, Oroszi T. Public Discussion of Anthrax on Twitter: Using Machine Learning to Identify Relevant Topics and Events. JMIR Public Health and Surveillance 2021;7(6):e27976 View
  28. Paramita M, Orphanou K, Christoforou E, Otterbacher J, Hopfgartner F. Do you see what I see? Images of the COVID-19 pandemic through the lens of Google. Information Processing & Management 2021;58(5):102654 View
  29. Sattar N, Arifuzzaman S. COVID-19 Vaccination Awareness and Aftermath: Public Sentiment Analysis on Twitter Data and Vaccinated Population Prediction in the USA. Applied Sciences 2021;11(13):6128 View
  30. Ittefaq M, Ahmad Kamboh S, Abwao M. COVID-19 vaccine selfie: a modest endeavor to increase vaccine acceptance. Psychology & Health 2023;38(2):209 View
  31. Karami A, Zhu M, Goldschmidt B, Boyajieff H, Najafabadi M. COVID-19 Vaccine and Social Media in the U.S.: Exploring Emotions and Discussions on Twitter. Vaccines 2021;9(10):1059 View
  32. Jing F, Li Z, Qiao S, Zhang J, Olatosi B, Li X. Using geospatial social media data for infectious disease studies: a systematic review. International Journal of Digital Earth 2023;16(1):130 View
  33. Déguilhem A, Malaab J, Talmatkadi M, Renner S, Foulquié P, Fagherazzi G, Loussikian P, Marty T, Mebarki A, Texier N, Schuck S. Identifying Profiles and Symptoms of Patients With Long COVID in France: Data Mining Infodemiology Study Based on Social Media. JMIR Infodemiology 2022;2(2):e39849 View
  34. Geniole S, Bird B, Witzel A, McEvoy J, Proietti V. Preliminary evidence that brief exposure to vaccination-related internet memes may influence intentions to vaccinate against COVID-19. Computers in Human Behavior 2022;131:107218 View
  35. Ploderer B, Rezaei Aghdam A, Burns K. Patient-Generated Health Photos and Videos Across Health and Well-being Contexts: Scoping Review. Journal of Medical Internet Research 2022;24(4):e28867 View
  36. Saini V, Liang L, Yang Y, Le H, Wu C. The Association Between Dissemination and Characteristics of Pro-/Anti-COVID-19 Vaccine Messages on Twitter: Application of the Elaboration Likelihood Model. JMIR Infodemiology 2022;2(1):e37077 View
  37. Chen T, Piltch-Loeb R, Harriman N, Testa M, Savoia E. A Descriptive Analysis of the Relationship between Social Media Use and Vaccine Hesitancy among a Sample of Unvaccinated Adults in Canada. Vaccines 2022;10(12):2096 View
  38. Bokaee Nezhad Z, Deihimi M. Twitter sentiment analysis from Iran about COVID 19 vaccine. Diabetes & Metabolic Syndrome: Clinical Research & Reviews 2022;16(1):102367 View
  39. Coordes A, Grund D, Mainka A, Olze H, Hanitsch L, von Bernuth H, Dommerich S. Rezidivierende Larynxpapillomatose. HNO 2023;71(2):77 View
  40. Yagi A, Ueda Y, Tomine Y, Ikeda S, Kakuda M, Nakagawa S, Hiramatsu K, Miyoshi A, Kobayashi E, Kimura T, Hirai K, Kimura T. The ‘best friend effect’: a promising tool to encourage HPV vaccination in Japan. International Journal of Clinical Oncology 2022;27(11):1750 View
  41. Amujo O, Ibeke E, Fuzi R, Ogara U, Iwendi C. Sentiment Computation of UK-Originated COVID-19 Vaccine Tweets: A Chronological Analysis and News Effect. Sustainability 2023;15(4):3212 View
  42. Gu J, Dor A, Li K, Broniatowski D, Hatheway M, Fritz L, Abroms L. The impact of Facebook’s vaccine misinformation policy on user endorsements of vaccine content: An interrupted time series analysis. Vaccine 2022;40(14):2209 View
  43. Sharma M, Peng Y. How Visual Aesthetics and Calorie Density Predict Food Image Popularity on Instagram: A Computer Vision Analysis. Health Communication 2024;39(3):577 View
  44. Yang S, Tao R, Bhattar M, Shen L, Jones M, Garbacz A, Passmore S. Designing and testing social media campaign messages to promote COVID-19 vaccine confidence among rural adults: A community-engaged approach featuring rural community leader and clinician testimonials. Preventive Medicine Reports 2023;36:102508 View
  45. Borghouts J, Huang Y, Hopfer S, Li C, Mark G. Wording Matters: the Effect of Linguistic Characteristics and Political Ideology on Resharing of COVID-19 Vaccine Tweets. ACM Transactions on Computer-Human Interaction 2024 View
  46. Golder S, Graham H. Social media engagement in health and climate change: an exploratory analysis of Twitter. Environmental Research: Health 2024;2(2):021001 View
  47. Garcia K, Mejia P, Perez-Sanz S, Dorfman L, Madsen K, Schillinger D. “Don’t think of a soda”: Contradictory public health messaging from a content analysis of Twitter posts about sugar-sweetened beverage taxes in California from 2015 to 2018. Frontiers in Public Health 2024;12 View

Books/Policy Documents

  1. Mao Y. The International Encyclopedia of Health Communication. View
  2. Khan A, Joshi R, Gulhane K. Future of Work and Business in Covid-19 Era. View
  3. Brylska K. Information Experience and Information Literacy. View