"Bacon Bacon Bacon": Food-Related Tweets and Sentiment in Metro Detroit

Authors

  • V. G. Vydiswaran University of Michigan
  • Daniel Romero University of Michigan
  • Xinyan Zhao University of Michigan
  • Deahan Yu University of Michigan
  • Iris Gomez-Lopez Miami University
  • Jin Lu University of Michigan
  • Bradley Iott University of Michigan
  • Ana Baylin University of Michigan
  • Philippa Clarke University of Michigan
  • Veronica Berrocal University of Michigan
  • Robert Goodspeed University of Michigan
  • Tiffany Veinot University of Michigan

DOI:

https://doi.org/10.1609/icwsm.v12i1.15060

Keywords:

Twitter analysis, tweet healthiness and sentiment analysis, neighborhood-based health disparity

Abstract

Initiatives to reduce neighborhood-based health disparities require access to meaningful, timely, and local information regarding health behavior and its determinants. In this paper, we examine the validity of Twitter as a source of information for analysis of dietary patterns and attitudes. We analyze the "healthiness" quotient of food-related tweets and sentiment regarding those tweets from metropolitan Detroit. Our findings demonstrate feasibility of using Twitter to understand neighborhood characteristics regarding food attitudes and potential use in studying neighborhood-based health disparities.

ICWSM-2018 Cover

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Published

2018-06-15

How to Cite

Vydiswaran, V. G., Romero, D., Zhao, X., Yu, D., Gomez-Lopez, I., Lu, J., Iott, B., Baylin, A., Clarke, P., Berrocal, V., Goodspeed, R., & Veinot, T. (2018). "Bacon Bacon Bacon": Food-Related Tweets and Sentiment in Metro Detroit. Proceedings of the International AAAI Conference on Web and Social Media, 12(1). https://doi.org/10.1609/icwsm.v12i1.15060

Issue

Vol. 12 No. 1 (2018): Twelfth International AAAI Conference on Web and Social Media

Section

Poster Papers