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

Infodemiology and Infoveillance (1349) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Mass Media/Social Media Communication and Campaigns (461) Eating Disorders (78)

Published on in Vol 22, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17626, first published .
Eating Disorder Awareness Campaigns: Thematic and Quantitative Analysis Using Twitter

Eating Disorder Awareness Campaigns: Thematic and Quantitative Analysis Using Twitter

Eating Disorder Awareness Campaigns: Thematic and Quantitative Analysis Using Twitter

Authors of this article:

Iranzu Viguria1 Author Orcid Image ;   Miguel Angel Alvarez-Mon1, 2, 3 Author Orcid Image ;   Maria Llavero-Valero4 Author Orcid Image ;   Angel Asunsolo del Barco5 Author Orcid Image ;   Felipe Ortuño1 Author Orcid Image ;   Melchor Alvarez-Mon2, 6, 7 Author Orcid Image
Article Authors Cited by (28) Tweetations (117) Metrics

Journals

  1. Moon H, Lee G. Evaluation of Korean-Language COVID-19–Related Medical Information on YouTube: Cross-Sectional Infodemiology Study. Journal of Medical Internet Research 2020;22(8):e20775 View
  2. Alvarez-Mon M, Donat-Vargas C, Llavero-Valero M, Gea A, Alvarez-Mon M, Martinez-Gonzalez M, Lopez-del Burgo C. Analysis of Media Outlets on Women's Health: Thematic and Quantitative Analyses Using Twitter. Frontiers in Public Health 2021;9 View
  3. Alvarez-Mon M, de Anta L, Llavero-Valero M, Lahera G, Ortega M, Soutullo C, Quintero J, Asunsolo del Barco A, Alvarez-Mon M. Areas of Interest and Attitudes towards the Pharmacological Treatment of Attention Deficit Hyperactivity Disorder: Thematic and Quantitative Analysis Using Twitter. Journal of Clinical Medicine 2021;10(12):2668 View
  4. Alvarez-Mon M, Llavero-Valero M, Asunsolo del Barco A, Zaragozá C, Ortega M, Lahera G, Quintero J, Alvarez-Mon M. Areas of Interest and Attitudes Toward Antiobesity Drugs: Thematic and Quantitative Analysis Using Twitter. Journal of Medical Internet Research 2021;23(10):e24336 View
  5. Alvarez-Mon M, Donat-Vargas C, Santoma-Vilaclara J, Anta L, Goena J, Sanchez-Bayona R, Mora F, Ortega M, Lahera G, Rodriguez-Jimenez R, Quintero J, Álvarez-Mon M. Assessment of Antipsychotic Medications on Social Media: Machine Learning Study. Frontiers in Psychiatry 2021;12 View
  6. Suarez-Lledo V, Mejova Y. Behavior Change Around an Online Health Awareness Campaign: A Causal Impact Study. Frontiers in Public Health 2022;10 View
  7. Ghahramani A, de Courten M, Prokofieva M. “The potential of social media in health promotion beyond creating awareness: an integrative review”. BMC Public Health 2022;22(1) View
  8. Alvarez-Mon M, Fernandez-Lazaro C, Llavero-Valero M, Alvarez-Mon M, Mora S, Martínez-González M, Bes-Rastrollo M. Mediterranean Diet Social Network Impact along 11 Years in the Major US Media Outlets: Thematic and Quantitative Analysis Using Twitter. International Journal of Environmental Research and Public Health 2022;19(2):784 View
  9. Jarman H, McLean S, Griffiths S, Teague S, Rodgers R, Paxton S, Austen E, Harris E, Steward T, Shatte A, Khanh-Dao Le L, Anwar T, Mihalopoulos C, Parker A, Yager Z, Fuller-Tyszkiewicz M. Critical measurement issues in the assessment of social media influence on body image. Body Image 2022;40:225 View
  10. Talbot C, Campbell C, Greville-Harris M. “Your struggles are valid, you are worthy of help and you deserve to recover”: narratives of recovery from orthorexia nervosa. Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity 2023;28(1) View
  11. Pereira-Sanchez V, Alvarez-Mon M, Horinouchi T, Kawagishi R, Tan M, Hooker E, Alvarez-Mon M, Teo A. Examining Tweet Content and Engagement of Users With Tweets About Hikikomori in Japanese: Mixed Methods Study of Social Withdrawal. Journal of Medical Internet Research 2022;24(1):e31175 View
  12. de Anta L, Alvarez-Mon M, Donat-Vargas C, Lara-Abelanda F, Pereira-Sanchez V, Gonzalez Rodriguez C, Mora F, Ortega M, Quintero J, Alvarez-Mon M. Assessment of beliefs and attitudes about electroconvulsive therapy posted on Twitter: An observational study. European Psychiatry 2023;66(1) View
  13. Alvarez-Mon M, Fernandez-Lazaro C, Ortega M, Vidal C, Molina-Ruiz R, Alvarez-Mon M, Martínez-González M. Analyzing Psychotherapy on Twitter: An 11-Year Analysis of Tweets From Major U.S. Media Outlets. Frontiers in Psychiatry 2022;13 View
  14. Faus M, Alonso F, Javadinejad A, Useche S. Are social networks effective in promoting healthy behaviors? A systematic review of evaluations of public health campaigns broadcast on Twitter. Frontiers in Public Health 2022;10 View
  15. Abbasi-Perez A, Alvarez-Mon M, Donat-Vargas C, Ortega M, Monserrat J, Perez-Gomez A, Sanz I, Alvarez-Mon M. Analysis of Tweets Containing Information Related to Rheumatological Diseases on Twitter. International Journal of Environmental Research and Public Health 2021;18(17):9094 View
  16. Sajjadi N, Feldman K, Shepard S, Reddy A, Torgerson T, Hartwell M, Vassar M. Public Interest and Behavior Change in the United States Regarding Colorectal Cancer Following the Death of Chadwick Boseman: Infodemiology Investigation of Internet Search Trends Nationally and in At-Risk Areas. JMIR Infodemiology 2021;1(1):e29387 View
  17. Celik I, Dindar M, Muukkonen H. #NotHolidayButDistance Education: a study on social media use for K-12 education during the COVID-19 pandemic. Information and Learning Sciences 2022;123(5/6):252 View
  18. Benítez-Andrades J, Alija-Pérez J, Vidal M, Pastor-Vargas R, García-Ordás M. Traditional Machine Learning Models and Bidirectional Encoder Representations From Transformer (BERT)–Based Automatic Classification of Tweets About Eating Disorders: Algorithm Development and Validation Study. JMIR Medical Informatics 2022;10(2):e34492 View
  19. Benítez-Andrades J, García-Ordás M, Russo M, Sakor A, Fernandes Rotger L, Vidal M, Kondylakis H, Rao P, Stefanidis K. Empowering machine learning models with contextual knowledge for enhancing the detection of eating disorders in social media posts. Semantic Web 2023;14(5):873 View
  20. Carabot F, Donat-Vargas C, Santoma-Vilaclara J, Ortega M, García-Montero C, Fraile-Martínez O, Zaragoza C, Monserrat J, Alvarez-Mon M, Alvarez-Mon M. Exploring Perceptions About Paracetamol, Tramadol, and Codeine on Twitter Using Machine Learning: Quantitative and Qualitative Observational Study. Journal of Medical Internet Research 2023;25:e45660 View
  21. Alvarez-Mon M, Pereira-Sanchez V, Hooker E, Sanchez F, Alvarez-Mon M, Teo A. Content and User Engagement of Health-Related Behavior Tweets Posted by Mass Media Outlets From Spain and the United States Early in the COVID-19 Pandemic: Observational Infodemiology Study. JMIR Infodemiology 2023;3:e43685 View
  22. Matin M, Joshi T, Greger M, Bin Matin F, Jóźwik A, Wierzbicka A, Horbańczuk J, Willschke H, Atanasov A. Use of #NutritionFacts to promote evidence-based nutrition information: X (formerly Twitter) hashtag analysis study. Frontiers in Public Health 2023;11 View
  23. Nawaz F, Riaz M, Banday N, Singh A, Arshad Z, Derby H, Sultan M. Social media use among adolescents with eating disorders: a double-edged sword. Frontiers in Psychiatry 2024;15 View
  24. Castillo-Toledo C, Fernandez-Lazaro C, Lara-Abelenda F, Molina-Ruiz R, Ortega M, Mora F, Alvarez-Mon M, Quintero J, Alvarez-Mon M. Regional insights on tobacco-related tweets: unveiling user opinions and usage patterns. Frontiers in Public Health 2024;12 View
  25. Cho H, Kim K, Kim J, Youn B. Twitter Discussions on #digitaldementia: Content and Sentiment Analysis. Journal of Medical Internet Research 2024;26:e59546 View
  26. Sánchez F, Brunner K. On rhetorical distortion: Examining mutated hashtags in pro-an(orexi)a communities. Computers and Composition 2024;73:102872 View
  27. de Anta L, Alvarez-Mon M, Pereira-Sanchez V, Donat-Vargas C, Lara-Abelenda F, Arrieta M, Montero-Torres M, García-Montero C, Fraile-Martínez Ó, Mora F, Ortega M, Alvarez-Mon M, Quintero J. Assessment of beliefs and attitudes towards benzodiazepines using machine learning based on social media posts: an observational study. BMC Psychiatry 2024;24(1) View