Spatiotemporal variations of public opinion on social distancing in the Netherlands: Comparison of Twitter and longitudinal survey data

BackgroundSocial distancing has been implemented by many countries to curb the COVID-19 pandemic. Understanding public support for this policy calls for effective and efficient methods of monitoring public opinion on social distancing. Twitter analysis has been suggested as a cheaper and faster-responding alternative to traditional survey methods. The current empirical evidence is mixed in terms of the correspondence between the two methods.ObjectiveWe aim to compare the two methods in the context of monitoring the Dutch public's opinion on social distancing. For this comparison, we quantified... Mehr ...

Verfasser: Chao Zhang
Shihan Wang
Erik Tjong Kim Sang
Marieke A. Adriaanse
Lars Tummers
Marijn Schraagen
Ji Qi
Mehdi Dastani
Henk Aarts
Dokumenttyp: Artikel
Erscheinungsdatum: 2022
Reihe/Periodikum: Frontiers in Public Health, Vol 10 (2022)
Verlag/Hrsg.: Frontiers Media S.A.
Schlagwörter: COVID-19 / social distancing / spatiotemporal analysis / public opinion / social media data / stance analysis / Public aspects of medicine / RA1-1270
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-26803854
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://doi.org/10.3389/fpubh.2022.856825