EventDNA : a dataset for Dutch news event extraction as a basis for news diversification
News organizations increasingly tailor their news offering to the reader through personalized recommendation algorithms. However, automated recommendation algorithms reflect a commercial logic based on calculated relevance to the user, rather than aiming at a well-informed citizenry. In this paper, we introduce the EventDNA corpus, a dataset of 1773 Dutch-language news articles annotated with information on entities, news events and IPTC Media Topic codes, with the ultimate goal to outline a recommendation algorithm that uses news event diversity rather than previous reading behaviour as a key... Mehr ...
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Dokumenttyp: | journalarticle |
Erscheinungsdatum: | 2023 |
Schlagwörter: | Languages and Literatures / News recommendation / Event annotation / Event extraction |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-26675216 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://biblio.ugent.be/publication/01GK18R97NGS8S3XM5CYZ3K3TJ |