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

Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Infodemiology and Infoveillance (1349) Innovations and Technology for Healthy Eating Education (414) Clinical Information and Decision Making (1407) Demographics of Users, Social & Digital Divide (739)

Published on in Vol 22, No 8 (2020): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16761, first published .
Food Communication and its Related Sentiment in Local and Organic Food Videos on YouTube

Food Communication and its Related Sentiment in Local and Organic Food Videos on YouTube

Food Communication and its Related Sentiment in Local and Organic Food Videos on YouTube

Authors of this article:

Xanat Vargas Meza1 Author Orcid Image ;   Toshimasa Yamanaka2 Author Orcid Image
Article Authors Cited by (11) Tweetations (10) Metrics

Journals

  1. Singh T, Roberts K, Cohen T, Cobb N, Wang J, Fujimoto K, Myneni S. Social Media as a Research Tool (SMaaRT) for Risky Behavior Analytics: Methodological Review. JMIR Public Health and Surveillance 2020;6(4):e21660 View
  2. Ventura V, Cavaliere A, Iannò B. #Socialfood: Virtuous or vicious? A systematic review. Trends in Food Science & Technology 2021;110:674 View
  3. Dashtian H, Murthy D, Kong G. An Exploration of e-Cigarette–Related Search Items on YouTube: Network Analysis. Journal of Medical Internet Research 2022;24(1):e30679 View
  4. Chang A, Schulz P, Jiao W, Yu G, Yang Y. Media Source Characteristics Regarding Food Fraud Misinformation According to the Health Information National Trends Survey (HINTS) in China: Comparative Study. JMIR Formative Research 2022;6(3):e32302 View
  5. Ezell B, Lynch C, Hester P. Methods for Weighting Decisions to Assist Modelers and Decision Analysts: A Review of Ratio Assignment and Approximate Techniques. Applied Sciences 2021;11(21):10397 View
  6. Choi S, Rani N, Arroyo R. Observing Coronavirus Information on YouTube: Network and Content Analysis of the U.S., Korea, India, and Mexico. Health & New Media Research 2021;5(1):25 View
  7. Li C, Niu Y, Wang L. How to win the green market? Exploring the satisfaction and sentiment of Chinese consumers based on text mining. Computers in Human Behavior 2023;148:107890 View
  8. P. P, S. R. ‘Sexy yes, obesity no’: the role of vloggers in influencing diet food purchase with self-openness moderation. Cogent Business & Management 2024;11(1) View
  9. Ding J, Bai S, Lotfi R. Optimal Decision and Coordination of Organic Food Supply Chain from the Perspective of Blockchain. Discrete Dynamics in Nature and Society 2022;2022(1) View
  10. Tsiourlini M, Tzafilkou K, Karapiperis D, Tjortjis C. Text Analytics on YouTube Comments for Food Products. Information 2024;15(10):599 View

Books/Policy Documents

  1. Fish G, Lord D. Nutrition Science, Marketing Nutrition, Health Claims, and Public Policy. View