Public Sentiment on Governmental COVID-19 Measures in Dutch Social Media

Angaben zum Inhalt: „Public sentiment (the opinion, attitude or feeling that the public expresses) is a factor of interest for government, as it directly influences the implementation of policies. Given the unprecedented nature of the COVID-19 crisis, having an up-to-date representation of public sentiment on governmental measures and announcements is crucial. In this paper, we analyse Dutch public sentiment on governmental COVID-19 measures from text data collected across three online media sources (Twitter, Reddit and Nu.nl) from February to September 2020. We apply sentiment analysis metho... Mehr ...

Verfasser: Wang, Shihan
Schraagen, Marijn
Tjong Kim Sang, Erik
Dastani, Mehdi
Dokumenttyp: Konferenzbeitrag
Erscheinungsdatum: 2020
Veröffentlicht in: Proceedings of the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020
Verlag/Hrsg.: Online, Association for Computational Linguistics
Schlagwörter: Open Access/Volltext / Öffentliche Meinung / Social Media
Sprache: en
DOI: 10.18653/v1/2020.nlpcovid19-2.17
Permalink: https://search.fid-benelux.de/Record/92T336U6
URL: https://www.aclweb.org/anthology/2020.nlpcovid19-2.17
Datenquelle: Corona Bibliografie Benelux; Originalkatalog
Powered By: ULB Münster
Link(s) : 10.18653/v1/2020.nlpcovid19-2.17

Angaben zum Inhalt: „Public sentiment (the opinion, attitude or feeling that the public expresses) is a factor of interest for government, as it directly influences the implementation of policies. Given the unprecedented nature of the COVID-19 crisis, having an up-to-date representation of public sentiment on governmental measures and announcements is crucial. In this paper, we analyse Dutch public sentiment on governmental COVID-19 measures from text data collected across three online media sources (Twitter, Reddit and Nu.nl) from February to September 2020. We apply sentiment analysis methods to analyse polarity over time, as well as to identify stance towards two specific pandemic policies regarding social distancing and wearing face masks. The presented preliminary results provide valuable insights into the narratives shown in vast social media text data, which help understand the influence of COVID-19 measures on the general public.“