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,...

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Publicado en:Language Resources & Evaluation Vol. 57; no. 1; pp. 189 - 222
Autores principales: Colruyt, Camiel, De Clercq, Orphée, Desot, Thierry, Hoste, Véronique
Formato: Artículo
Publicado: Springer Nature Mar2023
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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          Colruyt, Camiel
          De Clercq, Orphée
          Desot, Thierry
          Hoste, Véronique
        affil: LT3, Language and Translation Technology Team, Ghent University, Groot-Brittanniëlaan 45, 9000, Ghent, Belgium
      su:
        Source code
        Citizens
        Recommender systems
        Cultural pluralism
        Algorithms
        Objectivity in journalism
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        subj:
          Source code
          Citizens
          Recommender systems
          Cultural pluralism
          Algorithms
          Objectivity in journalism
      keyword:
        Event annotation
        Event extraction
        News recommendation
      ab: 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 driver for personalized news recommendation. We describe the EventDNA annotation guidelines, which are inspired by the well-known ERE framework and conclude that it is not practical to apply a fixed event typology such as used in ERE to an unrestricted data context. The corpus and related source code is made available at https://github.com/NewsDNA-LT3/.github.
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    language: English
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