Published on in Vol 15, No 6 (2013): June

Collection and Visualization of Dietary Behavior and Reasons for Eating Using Twitter

Collection and Visualization of Dietary Behavior and Reasons for Eating Using Twitter

Collection and Visualization of Dietary Behavior and Reasons for Eating Using Twitter

Journals

  1. Hawks J, Madanat H, Walsh-Buhi E, Hartman S, Nara A, Strong D, Anderson C. Narrative review of social media as a research tool for diet and weight loss. Computers in Human Behavior 2020;111:106426 View
  2. Dahl A, Hales S, Turner-McGrievy G. Integrating social media into weight loss interventions. Current Opinion in Psychology 2016;9:11 View
  3. Timmins K, Green M, Radley D, Morris M, Pearce J. How has big data contributed to obesity research? A review of the literature. International Journal of Obesity 2018;42(12):1951 View
  4. Skinner A, Attwood A, Baddeley R, Evans-Reeves K, Bauld L, Munafò M. Digital phenotyping and the development and delivery of health guidelines and behaviour change interventions. Addiction 2017;112(7):1281 View
  5. Schembre S, Liao Y, O'Connor S, Hingle M, Shen S, Hamoy K, Huh J, Dunton G, Weiss R, Thomson C, Boushey C. Mobile Ecological Momentary Diet Assessment Methods for Behavioral Research: Systematic Review. JMIR mHealth and uHealth 2018;6(11):e11170 View
  6. Lachmar E, Wittenborn A, Bogen K, McCauley H. #MyDepressionLooksLike: Examining Public Discourse About Depression on Twitter. JMIR Mental Health 2017;4(4):e43 View
  7. Helander E, Kaipainen K, Korhonen I, Wansink B. Factors Related to Sustained Use of a Free Mobile App for Dietary Self-Monitoring With Photography and Peer Feedback: Retrospective Cohort Study. Journal of Medical Internet Research 2014;16(4):e109 View
  8. Harris J, Choucair B, Maier R, Jolani N, Bernhardt J. Are Public Health Organizations Tweeting to the Choir? Understanding Local Health Department Twitter Followership. Journal of Medical Internet Research 2014;16(2):e31 View
  9. Blackburn K, Yilmaz G, Boyd R. Food for thought: Exploring how people think and talk about food online. Appetite 2018;123:390 View
  10. Shelton R, Lee M, Brotzman L, Crookes D, Jandorf L, Erwin D, Gage-Bouchard E. Use of social network analysis in the development, dissemination, implementation, and sustainability of health behavior interventions for adults: A systematic review. Social Science & Medicine 2019;220:81 View
  11. Mullins C, ffrench-O'Carroll R, Lane J, O'Connor T. Sharing the pain: an observational analysis of Twitter and pain in Ireland. Regional Anesthesia & Pain Medicine 2020;45(8):597 View
  12. Turner-McGrievy G, Karami A, Monroe C, Brandt H. Dietary pattern recognition on Twitter: a case example of before, during, and after four natural disasters. Natural Hazards 2020;103(1):1035 View
  13. Nascimento T, DosSantos M, Danciu T, DeBoer M, van Holsbeeck H, Lucas S, Aiello C, Khatib L, Bender M, Zubieta J, DaSilva A. Real-Time Sharing and Expression of Migraine Headache Suffering on Twitter: A Cross-Sectional Infodemiology Study. Journal of Medical Internet Research 2014;16(4):e96 View
  14. Finfgeld-Connett D. Twitter and Health Science Research. Western Journal of Nursing Research 2015;37(10):1269 View
  15. Turner-McGrievy G, Helander E, Kaipainen K, Perez-Macias J, Korhonen I. The use of crowdsourcing for dietary self-monitoring: crowdsourced ratings of food pictures are comparable to ratings by trained observers. Journal of the American Medical Informatics Association 2015;22(e1):e112 View
  16. Zhang N, Campo S, Janz K, Eckler P, Yang J, Snetselaar L, Signorini A. Electronic Word of Mouth on Twitter About Physical Activity in the United States: Exploratory Infodemiology Study. Journal of Medical Internet Research 2013;15(11):e261 View
  17. Hanson C, Cannon B, Burton S, Giraud-Carrier C. An Exploration of Social Circles and Prescription Drug Abuse Through Twitter. Journal of Medical Internet Research 2013;15(9):e189 View
  18. Grigoriev O, Kobrinskii B, Osipov G, Molodchenkov A, Smirnov I. Health Management System Knowledge Base for Formation and Support of a Preventive Measures Plan. Procedia Computer Science 2018;145:238 View
  19. Liu Y, Wu S, Lin S, Chen C, Lin Y, Chen H. Usability of Food Size Aids in Mobile Dietary Reporting Apps for Young Adults: Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(4):e14543 View
  20. Murthy D, Bowman S, Gross A, McGarry M. Do We Tweet Differently From Our Mobile Devices? A Study of Language Differences on Mobile and Web-Based Twitter Platforms. Journal of Communication 2015;65(5):816 View
  21. Maugeri A, Barchitta M. A Systematic Review of Ecological Momentary Assessment of Diet: Implications and Perspectives for Nutritional Epidemiology. Nutrients 2019;11(11):2696 View
  22. Harlow A, Willis S, Smith M, Rothman E. Bystander Prevention for Sexual Violence: #HowIWillChange and Gaps in Twitter Discourse. Journal of Interpersonal Violence 2021;36(11-12):NP5753 View
  23. Xu S, Markson C, Costello K, Xing C, Demissie K, Llanos A. Leveraging Social Media to Promote Public Health Knowledge: Example of Cancer Awareness via Twitter. JMIR Public Health and Surveillance 2016;2(1):e17 View
  24. Hébert J, Frongillo E, Adams S, Turner-McGrievy G, Hurley T, Miller D, Ockene I. Perspective: Randomized Controlled Trials Are Not a Panacea for Diet-Related Research. Advances in Nutrition 2016;7(3):423 View
  25. Benevento A, Okuyan M. Significance of protesters’ words during Gezi Park protests: finding implicit meanings in sticky notes and tweets. Social Movement Studies 2019;18(4):482 View
  26. Coccia C, Fernandes S, Altiti J. Tweeting for Nutrition: Feasibility and Efficacy Outcomes of a 6-Week Social Media-Based Nutrition Education Intervention for Student-Athletes. Journal of Strength and Conditioning Research 2020;34(7):2084 View
  27. Domínguez Rodríguez A, Cebolla i Marti A, Oliver E, Navarro J, Baños Rivera R. Efficacy and acceptability of a web platform to teach nutrition education to children. Nutrición Hospitalaria 2020 View
  28. Ventura V, Cavaliere A, Iannò B. #Socialfood: Virtuous or vicious? A systematic review. Trends in Food Science & Technology 2021;110:674 View
  29. Mirzyńska A, Kosch O, Schieg M, Šuhajda K, Szarucki M. EXPLORING CONCOMITANT CONCEPTS IN THE DISCUSSION ON THE CIRCULAR ECONOMY: A BIBLIOMETRIC ANALYSIS OF WEB OF SCIENCE, SCOPUS AND TWITTER. Technological and Economic Development of Economy 2021;27(6):1539 View
  30. Ghammachi N, Mihrshahi S, Ronto R. Web-Based Experiential Nutrition Education Intervention “The Green Hub” to Promote Sustainable and Healthy Diets among Young Adults in Australia. Sustainability 2022;14(22):15207 View
  31. Roy R, de Castro T, Haszard J, Egli V, Te Morenga L, Teunissen L, Decorte P, Cuykx I, De Backer C, Gerritsen S. Who We Seek and What We Eat? Sources of Food Choice Inspirations and Their Associations with Adult Dietary Patterns before and during the COVID-19 Lockdown in New Zealand. Nutrients 2021;13(11):3917 View
  32. Arhab N, Oussalah M, Bounab Y. Analysis of user's car parking behaviour through twitter hashtags. Expert Systems 2023;40(6) View
  33. Samad S, Ahmed F, Naher S, Kabir M, Das A, Amin S, Islam S. Smartphone apps for tracking food consumption and recommendations: Evaluating artificial intelligence-based functionalities, features and quality of current apps. Intelligent Systems with Applications 2022;15:200103 View
  34. GÜNEŞ Y, ARIKAN M. Twitter Veri Seti İçeriğinin Tanımlayıcı Analiz İle Keşfi: Çevrimiçi Yemek Siparişi Üzerine Bir Uygulama. Bilişim Teknolojileri Dergisi 2023;16(2):119 View
  35. Peixoto A, de Almeida A, António N, Batista F, Ribeiro R, Cardoso E. Unlocking the power of Twitter communities for startups. Applied Network Science 2023;8(1) View
  36. Chan G, Nwagu C, Odenigbo I, Alslaity A, Orji R. The Shape of Mobile Health: A Systematic Review of Health Visualization on Mobile Devices. International Journal of Human–Computer Interaction 2024:1 View
  37. Liang Y, Xiao R, Huang F, Lin Q, Guo J, Zeng W, Dong J. AI nutritionist: Intelligent software as the next generation pioneer of precision nutrition. Computers in Biology and Medicine 2024;178:108711 View
  38. Balińska A, Werenowska A, Jaska E. The importance of mobile applications in reducing food waste - the example of the TooGoodToGo application. Journal of Modern Science 2024;56(2):190 View
  39. Tan X, Suo X, Li W, Bi L, Yao F. Data visualization in healthcare and medicine: a survey. The Visual Computer 2024 View
  40. Ngoc Vo M, Thi Tran V, Ung-Pham T, Varela P, Nguyen Q. Combining text mining of social media data and conjoint approach to investigate consumer choices on organic food. Food Quality and Preference 2025;124:105369 View

Books/Policy Documents

  1. Mazalan N, Idrus Z, Abdullah N, Ibrahim Z. Soft Computing in Data Science. View
  2. Holmberg C. Encyclopedia of Information Science and Technology, Fourth Edition. View
  3. Dondokova A, Aich S, Kim H, Huh G. Frontier Computing. View
  4. Holmberg C. Advanced Methodologies and Technologies in Media and Communications. View
  5. Detels R, Karim Q, Baum F, Li L, Leyland A, Kogevinas M, Chatzi L. Oxford Textbook of Global Public Health. View