DuST - Dutch Stance Twitter

DOI

This repository contains the full text format and the annotations for the Dutch Stance Twitter (DuST) dataset. The dataset is part of larger annotation initiative, the Dynamic Stance Corpus (DySC), a multi-lingual, and multi-topic corpus in Catalan and Dutch to model dynamic stance in online interactions in social media platforms.

Full description of the dataset, including the publicly distributable format, is available at https://github.com/projecte-aina/dynamic-stance-analysis

Twitter

Identifier
DOI https://doi.org/10.34894/OOTV3G
Metadata Access https://dataverse.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34894/OOTV3G
Provenance
Creator Caselli, Tommaso ORCID logo
Publisher DataverseNL
Contributor Groningen Digital Competence Centre; Logtenberg, Jesmer; Browers, Ruben
Publication Year 2023
Rights info:eu-repo/semantics/restrictedAccess
OpenAccess false
Contact Groningen Digital Competence Centre (University of Groningen)
Representation
Resource Type Dataset
Format text/tsv
Size 2117092
Version 1.0
Discipline Humanities