Published on in Vol 17, No 11 (2015): November
Journals
- 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 View
- Raitanen J, Oksanen A. Global Online Subculture Surrounding School Shootings. American Behavioral Scientist 2018;62(2):195 View
- Gomes R, 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 View
- Hillyer G, MacLean S, Beauchemin M, Basch C, Schmitt K, Segall L, Kelsen M, Brogan F, Schwartz G. YouTube Videos as a Source of Information About Clinical Trials: Observational Study. JMIR Cancer 2018;4(1):e10060 View
- Park M. Information Sharing to Promote Risky Health Behavior on Social Media. Journal of Health Communication 2019;24(4):359 View
- Zunic A, Corcoran P, Spasic I. Sentiment Analysis in Health and Well-Being: Systematic Review. JMIR Medical Informatics 2020;8(1):e16023 View
- 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) View
- Park M. How Smoking Advocates are Connected Online: An Examination of Online Social Relationships Supporting Smoking Behaviors. Journal of Health Communication 2020;25(1):82 View
- Primack B, Escobar-Viera C. 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 View
- Rosenbusch H, Evans A, 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 View
- Wang X, Parameswaran S, Bagul D, 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 View
- Stock K. Mining location from social media: A systematic review. Computers, Environment and Urban Systems 2018;71:209 View
- 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 View
- 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) View
- 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 View
- Veletsianos G, Kimmons R, Larsen R, Dousay T, Lowenthal P, Sugimoto C. 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 View
- Strand M, Gustafsson S. Mukbang and Disordered Eating: A Netnographic Analysis of Online Eating Broadcasts. Culture, Medicine, and Psychiatry 2020;44(4):586 View
- Pinto J, Viana P, Nguyen N, Szczerbicki E, Trawiński B, Nguyen V. Improving Youtube video retrieval by integrating crowdsourced timed metadata. Journal of Intelligent & Fuzzy Systems 2019;37(6):7207 View
- 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 View
- 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) View
- 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 View
- Bozkurt A, Aras I. Cleft Lip and Palate YouTube Videos: Content Usefulness and Sentiment Analysis. The Cleft Palate Craniofacial Journal 2021;58(3):362 View
- 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 View
- 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 View
- DeJonckheere M, Nichols L, Vydiswaran V, 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 View
- Jelodar H, Wang Y, Rabbani M, Ahmadi S, Boukela L, Zhao R, Larik R. 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 View
- Holmes H, Lara A, Brown G. Social Media Use in College-age Youth: A Comprehensive Review and a Call to Action. Current Psychopharmacology 2020;9(2):128 View
- Chen N. Exploring the Cognitive and Emotional Impact of Online Climate Change Videos on Viewers. Sustainability 2020;12(22):9571 View
- Ventura V, Cavaliere A, Iannò B. #Socialfood: Virtuous or vicious? A systematic review. Trends in Food Science & Technology 2021;110:674 View
- 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 View
- 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 View
- 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
- 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 View
- 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
- 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) View
- Primack B, Perryman K, Crofford R, Escobar-Viera C. 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 View
- 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 View
- Alafwan B, Siallagan M, Putro U. Comments Analysis on Social Media: A Review. ICST Transactions on Scalable Information Systems 2023 View
- Suresh A, Pallempati L, 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 View
- Huisman S, Kraiss J, de Vos J. Examining a sentiment algorithm on session patient records in an eating disorder treatment setting: a preliminary study. Frontiers in Psychiatry 2024;15 View
- Paradise Vit A, Magid A. Differences in Fear and Negativity Levels Between Formal and Informal Health-Related Websites: Analysis of Sentiments and Emotions. Journal of Medical Internet Research 2024;26:e55151 View
- Lu F, Tu C. The Impact of Comment Slant and Comment Tone on Digital Health Communication Among Polarized Publics: A Web-Based Survey Experiment. Journal of Medical Internet Research 2024;26:e57967 View
Books/Policy Documents
- Oksanen A, Miller B, Savolainen I, Sirola A, Demant J, Kaakinen M, Zych I. Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis. View
- Kaakinen M, Oksanen A, Sirola A, Savolainen I, Garcia D. Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis. View
- Hou J, Park M. Social Web and Health Research. View
- Wu J, Yang Y, Sun P, Zhang M. E-Business. Digital Empowerment for an Intelligent Future. View