research-article

Characterizing Dietary Choices, Nutrition, and Language in Food Deserts via Social Media

Authors:

Munmun De Choudhury,

Emre KicimanAuthors Info & Claims

CSCW '16: Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing

Pages 1157 - 1170

https://doi.org/10.1145/2818048.2819956

Published: 27 February 2016 Publication History

Abstract

Social media has emerged as a promising source of data for public health. This paper examines how these platforms can provide empirical quantitative evidence for understanding dietary choices and nutritional challenges in “food deserts” -- Census tracts characterized by poor access to healthy and affordable food. We present a study of 3 million food related posts shared on Instagram, and observe that content from food deserts indicate consumption of food high in fat, cholesterol and sugar; a rate higher by 5-17% compared to non-food desert areas. Further, a topic model analysis reveals the ingestion language of food deserts to bear distinct attributes. Finally, we investigate to what extent Instagram ingestion language is able to infer whether a tract is a food desert. We find that a predictive model that uses ingestion topics, socio-economic and food deprivation status attributes yields high accuracy (>80%) and improves over baseline methods by 6-14%. We discuss the role of social media in helping address inequalities in food access and health.

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cover image ACM Conferences

CSCW '16: Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing

February 2016

1866 pages

ISBN:9781450335928

DOI:10.1145/2818048

General Chairs:
Darren Gergle
Northwestern University
,
Meredith Ringel Morris
Microsoft Research
,
Program Chairs:
Pernille Bjørn
University of Copenhagen
,
Joseph Konstan
University of Minnesota

Copyright © 2016 ACM.

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Published: 27 February 2016

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CSCW '16: Computer Supported Cooperative Work and Social Computing

February 27 - March 2, 2016

California, San Francisco, USA

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CSCW '16 Paper Acceptance Rate 142 of 571 submissions, 25%;

Overall Acceptance Rate 2,235 of 8,521 submissions, 26%

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https://doi.org/10.58208/cphs.1435790
Gligorić KZbinden RChiolero AKıcıman EWhite RHorvitz EWest R(2024)Measuring and shaping the nutritional environment via food sales logs: case studies of campus-wide food choice and a call to actionFrontiers in Nutrition10.3389/fnut.2024.123107011Online publication date: 4-Jun-2024
https://doi.org/10.3389/fnut.2024.1231070
Zhao MHarvey MCameron DHopfgartner F(2024)The Effect of Simulated Contextual Factors on Recipe Rating and Nutritional Intake BehaviourProceedings of the 2024 Conference on Human Information Interaction and Retrieval10.1145/3627508.3638328(97-107)Online publication date: 10-Mar-2024
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Testa AMungia Rvan den Berg AC. Hernandez D(2023)Food deserts and dental care utilization in the United StatesJournal of Public Health Dentistry10.1111/jphd.1259383:4(389-396)Online publication date: 10-Dec-2023
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Alimour SAlqawasmi AAburezeq IAissani RTaha SAlamassi S(2023)Eco-Psychology in Social Networks: Understanding the Influence of Nature on Online Behavior2023 Tenth International Conference on Social Networks Analysis, Management and Security (SNAMS)10.1109/SNAMS60348.2023.10375398(1-8)Online publication date: 21-Nov-2023
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