Published on 12.11.15 in Vol 17, No 11 (2015): November
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)
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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
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Raitanen J, Oksanen A. Global Online Subculture Surrounding School Shootings. American Behavioral Scientist 2018;62(2):195
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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
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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
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. Information Sharing to Promote Risky Health Behavior on Social Media. Journal of Health Communication 2019;24(4):359
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Zunic A, Corcoran P, Spasic I. Sentiment Analysis in Health and Well-Being: Systematic Review. JMIR Medical Informatics 2020;8(1):e16023
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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)
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. How Smoking Advocates are Connected Online: An Examination of Online Social Relationships Supporting Smoking Behaviors. Journal of Health Communication 2020;25(1):82
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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
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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;10(8):1028
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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
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. Mining location from social media: A systematic review. Computers, Environment and Urban Systems 2018;71:209
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Wang T, Mentzakis E, Brede M, Ianni A. Estimating Determinants of Attrition in Eating Disorder Communities on Twitter: An Instrumental Variables Approach. Journal of Medical Internet Research 2019;21(5):e10942
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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)
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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
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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
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Strand M, Gustafsson SA. Mukbang and Disordered Eating: A Netnographic Analysis of Online Eating Broadcasts. Culture, Medicine, and Psychiatry 2020;44(4):586
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Pinto JP, Viana P, Nguyen NT, Szczerbicki E, Trawiński B, Nguyen VD. Improving Youtube video retrieval by integrating crowdsourced timed metadata. Journal of Intelligent & Fuzzy Systems 2019;37(6):7207
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Garitaonandia C, Karrera-Xuarros I, Jiménez-Iglesias E, Larrañaga N. Menores conectados y riesgos online: contenidos inadecuados, uso inapropiado de la información y uso excesivo de internet. El profesional de la información 2020;
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Wang T, Brede M, Ianni A, Mentzakis E. Characterizing dynamic communication in online eating disorder communities: a multiplex network approach. Applied Network Science 2019;4(1)
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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
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Bozkurt AP, Aras I. Cleft Lip and Palate YouTube Videos: Content Usefulness and Sentiment Analysis. The Cleft Palate-Craniofacial Journal 2021;58(3):362
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Kaakinen M, Sirola A, Savolainen I, Oksanen A. Young people and gambling content in social media: An experimental insight. Drug and Alcohol Review 2020;39(2):152
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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
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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
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Jelodar H, Wang Y, Rabbani M, Ahmadi SBB, Boukela L, Zhao R, Larik RSA. A NLP framework based on meaningful latent-topic detection and sentiment analysis via fuzzy lattice reasoning on youtube comments. Multimedia Tools and Applications 2021;80(3):4155
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Holmes H, Lara AE, Brown GS. Social Media Use in College-age Youth: A Comprehensive Review and a Call to Action. Current Psychopharmacology 2020;9(2):128
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. Exploring the Cognitive and Emotional Impact of Online Climate Change Videos on Viewers. Sustainability 2020;12(22):9571
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Ventura V, Cavaliere A, Iannò B. #Socialfood: Virtuous or vicious? A systematic review. Trends in Food Science & Technology 2021;110:674
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Mansur A, Allamsyah Z, Amalia P. The Performance of Indonesia’s President: A Sentiment Analysis in Social Media. IOP Conference Series: Materials Science and Engineering 2021;1077(1):012004
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Pavan Kumar C, Dhinesh Babu L. Fuzzy based feature engineering architecture for sentiment analysis of medical discussion over online social networks. Journal of Intelligent & Fuzzy Systems 2021;40(6):11749
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Benítez-Andrades JA, Alija-Pérez J, Vidal M, Pastor-Vargas R, García-Ordás MT. 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
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Sheppard A, Ricciardelli R. Bio‐citizens online: A content analysis of pro‐ana and weight loss blogs. Canadian Review of Sociology/Revue canadienne de sociologie 2023;60(2):259
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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
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Ferrey A, Ashworth G, Cabling M, Rundblad G, Ismail K. A thematic analysis of YouTube comments on a television documentary titled ‘Diabulimia: The World's most dangerous eating disorder’. Diabetic Medicine 2023;40(5)
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Primack BA, Perryman KL, Crofford RA, 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 2022;31(1):11
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Lookingbill V, Mohammadi E, Cai Y. Assessment of Accuracy, User Engagement, and Themes of Eating Disorder Content in Social Media Short Videos. JAMA Network Open 2023;6(4):e238897
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Alafwan B, Siallagan M, Putro US. Comments Analysis on Social Media: A Review. ICST Transactions on Scalable Information Systems 2023;
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Suresh A, Pallempati LL, Saxena P, Ansari A, Bassi R, Bhandari A. Exploring YouTube Videos About Anorexia Nervosa on the Basis of Reliability, Popularity, and Contributions of Healthcare Professionals: A Cross-Sectional Study. Cureus 2023;
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Huisman SM, Kraiss JT, de Vos JA. Examining a sentiment algorithm on session patient records in an eating disorder treatment setting: a preliminary study. Frontiers in Psychiatry 2024;15
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.5007):
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Oksanen A, Miller BL, Savolainen I, Sirola A, Demant J, Kaakinen M, Zych I. Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis. 2020. Chapter 19:278
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Kaakinen M, Oksanen A, Sirola A, Savolainen I, Garcia D. Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis. 2020. Chapter 38:542
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Hou J, Park M. Social Web and Health Research. 2019. Chapter 7:123
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Wu J, Yang Y, Sun P, Zhang M. E-Business. Digital Empowerment for an Intelligent Future. 2023. Chapter 14:156
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