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10.1371/journal.pone.0246949 http://scihub22266oqcxt.onion/10.1371/journal.pone.0246949 33657145!7928458!33657145     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       PLoS+One 2021 ; 16 (3): e0246949 Nephropedia Template TP {{tp|p=33657145|t=2021. Social distancing beliefs and human mobility: Evidence from Twitter |pdf=|usr=}}{{33657145}} gab.com Text Social distancing beliefs and human mobility: Evidence from Twitter JO: PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=33657145 #FOAvip 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 "stay home", "stay safe", "wear mask", "wash hands" and "social distancing". 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-19 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. Twit Text FOAVip Social distancing beliefs and human mobility: Evidence from Twitter ????PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=33657145 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33657145 #FOAvip English Wikipedia <ref>{{Cite pmid|33657145}}</ref> Social distancing beliefs and human mobility: Evidence from Twitter #MMPMID33657145 Porcher S; Renault T PLoS One 2021[]; 16 (3): e0246949 PMID33657145show ga 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 "stay home", "stay safe", "wear mask", "wash hands" and "social distancing". 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-19 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. |*Physical Distancing[MESH] |Attitude to Health[MESH] |COVID-19/*psychology[MESH] |Data Management/methods[MESH] |Databases, Factual[MESH] |Humans[MESH] |Pandemics/statistics & numerical data[MESH] |SARS-CoV-2/pathogenicity[MESH]Social distancing beliefs and human mobility: Evidence from Twitter (epmc).pdf DeepDyve Pubget Overpricing