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

Infodemiology and Infoveillance (1350) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1643)

Published on in Vol 15, No 11 (2013): November

Electronic Word of Mouth on Twitter About Physical Activity in the United States: Exploratory Infodemiology Study

Electronic Word of Mouth on Twitter About Physical Activity in the United States: Exploratory Infodemiology Study

Electronic Word of Mouth on Twitter About Physical Activity in the United States: Exploratory Infodemiology Study

Authors of this article:

Ni Zhang1 ;   Shelly Campo2 ;   Kathleen F Janz3 ;   Petya Eckler4 ;   Jingzhen Yang5 ;   Linda G Snetselaar6 ;   Alessio Signorini7
Article Authors Cited by (35) Tweetations (71) Metrics

Journals

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  16. Nguyen Q, Kath S, Meng H, Li D, Smith K, VanDerslice J, Wen M, Li F. Leveraging geotagged Twitter data to examine neighborhood happiness, diet, and physical activity. Applied Geography 2016;73:77 View
  17. Gurajala S, Dhaniyala S, Matthews J. Understanding Public Response to Air Quality Using Tweet Analysis. Social Media + Society 2019;5(3) View
  18. Hamad E, Savundranayagam M, Holmes J, Kinsella E, Johnson A. Toward a Mixed-Methods Research Approach to Content Analysis in The Digital Age: The Combined Content-Analysis Model and its Applications to Health Care Twitter Feeds. Journal of Medical Internet Research 2016;18(3):e60 View
  19. Zhang N, Drake S, Ding K. Message Appeals on an Instagram Account Promoting Seat Belt Use That Attract Adolescents and Young Adults: Elaboration-Likelihood Perspective Study. JMIR Formative Research 2020;4(9):e16800 View
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  21. McClellan C, Ali M, Mutter R, Kroutil L, Landwehr J. Using social media to monitor mental health discussions − evidence from Twitter. Journal of the American Medical Informatics Association 2017;24(3):496 View
  22. Drake S, Zhang N, Applewhite C, Fowler K, Holcomb J. A social media program to increase adolescent seat belt use. Public Health Nursing 2017;34(5):500 View
  23. Nguyen Q, Brunisholz K, Yu W, McCullough M, Hanson H, Litchman M, Li F, Wan Y, VanDerslice J, Wen M, Smith K. Twitter-derived neighborhood characteristics associated with obesity and diabetes. Scientific Reports 2017;7(1) View
  24. Zeraatkar K, Ahmadi M. Trends of infodemiology studies: a scoping review. Health Information & Libraries Journal 2018;35(2):91 View
  25. Pinkerton S, Tobin J, Querfurth S, Pena I, Wilson K. “Those sweet, sweet likes”: Sharing physical activity over social network sites. Computers in Human Behavior 2017;69:128 View
  26. Burke-Garcia A, Stanton C. A tale of two tools: Reliability and feasibility of social media measurement tools examining e-cigarette twitter mentions. Informatics in Medicine Unlocked 2017;8:8 View
  27. Ishfaq U, Khan H, Iqbal S, Alghobiri M. Finding influential users in microblogs: state-of-the-art methods and open research challenges. Behaviour & Information Technology 2022;41(10):2215 View
  28. ÇELİK E, KILIÇER T. SEZGİSEL SİSTEMATİK MODEL PERSPEKTİFİNDEN FENOMEN ANNELERİN e-AĞIZDAN AĞIZA PAZARLAMA SÜRECİNDEKİ ROLÜ ÜZERİNE BİR ARAŞTIRMA. Uluslararası İktisadi ve İdari İncelemeler Dergisi 2022;(35):195 View
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  32. Noonan R. Restructuring Priorities: Rethinking Economic Growth for a More Active Future. Leisure Sciences 2023:1 View
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