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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.

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