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dc.contributor.authorMejova, Yen_US
dc.contributor.authorHaddadi, Hen_US
dc.contributor.authorNoulas, Aen_US
dc.contributor.authorWeber, Ien_US
dc.date.accessioned2016-10-26T10:21:41Z
dc.date.accessioned2017-05-17T13:25:43Z
dc.date.submitted2016-10-03T14:21:25.302Z
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/23148
dc.description.abstractWe present a large-scale analysis of Instagram pictures taken at 164,753 restaurants by millions of users. Motivated by the obesity epidemic in the United States, our aim is three-fold: (i) to assess the relationship between fast food and chain restaurants and obesity, (ii) to better understand people's thoughts on and perceptions of their daily dining experiences, and (iii) to reveal the nature of social reinforcement and approval in the context of dietary health on social media. When we correlate the prominence of fast food restaurants in US counties with obesity, we find the Foursquare data to show a greater correlation at 0.424 than official survey data from the County Health Rankings would show. Our analysis further reveals a relationship between small businesses and local foods with better dietary health, with such restaurants getting more attention in areas of lower obesity. However, even in such areas, social approval favors the unhealthy foods high in sugar, with donut shops producing the most liked photos. Thus, the dietary landscape our study reveals is a complex ecosystem, with fast food playing a role alongside social interactions and personal perceptions, which often may be at odds.en_US
dc.relation.replaceshttp://qmro.qmul.ac.uk/xmlui/handle/123456789/16084
dc.relation.replaces123456789/16084
dc.subjectcs.CYen_US
dc.subjectcs.CYen_US
dc.subjectJ.3; H.3.1; H.3.5en_US
dc.title#FoodPorn: Obesity Patterns in Culinary Interactionsen_US
dc.typeArticle
dc.rights.holderCopyright is held by the owner/author(s). Publication rights licensed to ACM
pubs.author-urlhttp://arxiv.org/abs/1503.01546v3en_US
pubs.notesNot knownen_US


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