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

Background: Social 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. Objective: We aim to compare the two methods in the context of monitoring the Dutch public's opinion on social distancing. For this comparison, we quant... Mehr ...

Verfasser: Zhang, Chao
Wang, Shihan
Tjong Kim Sang, Erik
Adriaanse, Marieke A
Tummers, Lars
Schraagen, Marijn
Qi, Ji
Dastani, Mehdi
Aarts, Henk
Dokumenttyp: Artikel
Erscheinungsdatum: 2022
Schlagwörter: COVID-19 / longitudinal survey / public opinion / social distancing / social media data / spatiotemporal analysis / stance analysis / Public Health / Environmental and Occupational Health
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-26836702
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://dspace.library.uu.nl/handle/1874/423133