You Are What You Tweet: Connecting the Geographic Variation in America's Obesity Rate to Twitter Content.
You Are What You Tweet: Connecting the Geographic Variation in America's Obesity Rate to Twitter Content.
复制标题
DOI：
10.1371/journal.pone.0133505
复制
发表时间：
2015
期刊：
影响因子：
3.7
通讯作者：
Padilla J
中科院分区：
文献类型：
--
作者：
Gore RJ;Diallo S;Padilla J
我们对城市地区的肥胖率与社交媒体上的幸福表达、饮食和体育活动之间的关系进行了详细的调查。我们通过分析社交网络服务Twitter在2012年和2013年期间生成的超过2亿字的大量地理标记数据集来做到这一点。在许多结果中，我们发现肥胖率较低的地区：(1)有更快乐的推文，经常讨论(2)食物，特别是水果和蔬菜，(3)任何强度的体育活动。此外，我们提供的证据表明，这些结果中的每一个都为美国城市地区肥胖率的变化提供了不同而独特的见解。我们的研究表明，社交媒体的内容可能会被用来评估与肥胖相关的实时、人口规模的因素。
We conduct a detailed investigation of the relationship among the obesity rate of urban areas and expressions of happiness, diet and physical activity on social media. We do so by analyzing a massive, geo-tagged data set comprising over 200 million words generated over the course of 2012 and 2013 on the social network service Twitter. Among many results, we show that areas with lower obesity rates: (1) have happier tweets and frequently discuss (2) food, particularly fruits and vegetables, and (3) physical activities of any intensity. Additionally, we provide evidence that each of these results offer different and unique insight into the variation of the obesity rate in urban areas within the United States. Our work shows how the contents of social media may potentially be used to estimate real-time, population-scale measures of factors related to obesity.