Service interruption on Monday 11 July from 12:30 to 13:00: all the sites of the CCSD (HAL, EpiSciences, SciencesConf, AureHAL) will be inaccessible (network hardware connection).
Skip to Main content Skip to Navigation
Journal articles

Social distancing beliefs and human mobility: Evidence from Twitter

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 “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.
Complete list of metadata

https://hal.archives-ouvertes.fr/hal-03205158
Contributor : Thomas Renault Connect in order to contact the contributor
Submitted on : Wednesday, May 4, 2022 - 5:40:06 PM
Last modification on : Wednesday, May 4, 2022 - 5:52:44 PM

File

journal.pone.0246949.pdf
Publisher files allowed on an open archive

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Collections

Citation

Simon Porcher, Thomas Renault. Social distancing beliefs and human mobility: Evidence from Twitter. PLoS ONE, Public Library of Science, 2021, 16 (3), pp.e0246949. ⟨10.1371/journal.pone.0246949⟩. ⟨hal-03205158⟩

Share

Metrics

Record views

146

Files downloads

5