About: Social Distancing Beliefs and Human Mobility: Evidence from Twitter

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Social Distancing Beliefs and Human Mobility: Evidence from Twitter
Creator	Porcher, Simon Renault, Thomas
source	ArXiv
abstract	We construct a novel database containing hundreds of thousands geotagged messages related to the COVID-19 pandemic sent on Twitter. We create a daily index of social distancing -- at the state level -- to capture social distancing beliefs by analyzing the number of tweets containing keywords such as%22stay home%22,%22stay safe%22,%22wear mask%22,%22wash hands%22and%22social distancing%22. We find that an increase in the Twitter index of social distancing on day t-1 is associated with a decrease in mobility on day t. We also find that state orders, an increase in the number of COVID cases, precipitation and temperature contribute to reducing human mobility. Republican states are also less likely to enforce social distancing. Beliefs shared on social networks could both reveal the behavior of individuals and influence the behavior of others. Our findings suggest that policy makers can use geotagged Twitter data -- in conjunction with mobility data -- to better understand individual voluntary social distancing actions.
has issue date	2020-08-10(xsd:dateTime)
has license	arxiv
sha1sum (hex)	693091c5792e537d7003ab347b5a5e5cee308fe4
resource representing a document's title	Social Distancing Beliefs and Human Mobility: Evidence from Twitter
resource representing a document's body	covid:693091c5792e537d7003ab347b5a5e5cee308fe4#body_text
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