Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Monday, March 11, 2019 at 4:00 PM to 4:30 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Citing this Article

Right click to copy or hit: ctrl+c (cmd+c on mac)

Published on 12.11.15 in Vol 17, No 11 (2015): November

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

Works citing "Pro-Anorexia and Anti-Pro-Anorexia Videos on YouTube: Sentiment Analysis of User Responses"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.5007):

(note that this is only a small subset of citations)

  1. DeJonckheere M, Nichols LP, Vydiswaran VV, Zhao X, Collins-Thompson K, Resnicow K, Chang T. Using Text Messaging, Social Media, and Interviews to Understand What Pregnant Youth Think About Weight Gain During Pregnancy. JMIR Formative Research 2019;3(2):e11397
    CrossRef
  2. Sirola A, Kaakinen M, Savolainen I, Oksanen A. Loneliness and online gambling-community participation of young social media users. Computers in Human Behavior 2019;95:136
    CrossRef
  3. Rosenbusch H, Evans AM, Zeelenberg M. Multilevel Emotion Transfer on YouTube: Disentangling the Effects of Emotional Contagion and Homophily on Video Audiences. Social Psychological and Personality Science 2019;:194855061882030
    CrossRef
  4. Pinto JP, Viana P. Improving Youtube video retrieval by integrating crowdsourced timed metadata. Journal of Intelligent & Fuzzy Systems 2019;:1
    CrossRef
  5. Park M. Information Sharing to Promote Risky Health Behavior on Social Media. Journal of Health Communication 2019;24(4):359
    CrossRef
  6. Provoost S, Ruwaard J, van Breda W, Riper H, Bosse T. Validating Automated Sentiment Analysis of Online Cognitive Behavioral Therapy Patient Texts: An Exploratory Study. Frontiers in Psychology 2019;10
    CrossRef
  7. Gomes RF, Casais B. Feelings generated by threat appeals in social marketing: text and emoji analysis of user reactions to anorexia nervosa campaigns in social media. International Review on Public and Nonprofit Marketing 2018;15(4):591
    CrossRef
  8. Raitanen J, Oksanen A. Global Online Subculture Surrounding School Shootings. American Behavioral Scientist 2018;62(2):195
    CrossRef
  9. Veletsianos G, Kimmons R, Larsen R, Dousay TA, Lowenthal PR, Sugimoto CR. Public comment sentiment on educational videos: Understanding the effects of presenter gender, video format, threading, and moderation on YouTube TED talk comments. PLOS ONE 2018;13(6):e0197331
    CrossRef
  10. Hillyer GC, MacLean SA, Beauchemin M, Basch CH, Schmitt KM, Segall L, Kelsen M, Brogan FL, Schwartz GK. YouTube Videos as a Source of Information About Clinical Trials: Observational Study. JMIR Cancer 2018;4(1):e10060
    CrossRef
  11. Wang T, Mentzakis E, Brede M, Ianni A. Estimating Determinants of Attrition in Online Eating Disorder Community: An Instrumental Variables Approach (Preprint). Journal of Medical Internet Research 2018;
    CrossRef
  12. Livas C, Delli K, Pandis N. “My Invisalign experience”: content, metrics and comment sentiment analysis of the most popular patient testimonials on YouTube. Progress in Orthodontics 2018;19(1)
    CrossRef
  13. Wang X, Parameswaran S, Bagul DM, Kishore R. Can online social support be detrimental in stigmatized chronic diseases? A quadratic model of the effects of informational and emotional support on self-care behavior of HIV patients. Journal of the American Medical Informatics Association 2018;25(8):931
    CrossRef
  14. Wang T, Brede M, Ianni A, Mentzakis E, Tang M. Social interactions in online eating disorder communities: A network perspective. PLOS ONE 2018;13(7):e0200800
    CrossRef
  15. Stock K. Mining location from social media: A systematic review. Computers, Environment and Urban Systems 2018;71:209
    CrossRef
  16. Piryani R, Madhavi D, Singh V. Analytical mapping of opinion mining and sentiment analysis research during 2000–2015. Information Processing & Management 2017;53(1):122
    CrossRef
  17. Primack BA, Escobar-Viera CG. Social Media as It Interfaces with Psychosocial Development and Mental Illness in Transitional Age Youth. Child and Adolescent Psychiatric Clinics of North America 2017;26(2):217
    CrossRef
  18. Oksanen A, Näsi M, Minkkinen J, Keipi T, Kaakinen M, Räsänen P. Young people who access harm-advocating online content: A four-country survey. Cyberpsychology: Journal of Psychosocial Research on Cyberspace 2016;10(2)
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.5007)

:
  1. Hou J, Park M. Social Web and Health Research. 2019. Chapter 7:123
    CrossRef