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,...
| Publicado en: | Language Resources & Evaluation Vol. 57; no. 1; pp. 189 - 222 |
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| Autores principales: | , , , |
| Formato: | Artículo |
| Publicado: |
Springer Nature
Mar2023
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=162506769&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 162506769 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 1574020X 179V jtl: Language Resources & Evaluation issn: 1574020X maglogo: N pubinfo: dt: Mar2023 vid: 57 iid: 1 pid: 237 pub: Springer Nature artinfo: ui: 162506769 10.1007/s10579-022-09623-2 ppf: 189 ppct: 33 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1.3MB tig: atl: EventDNA: a dataset for Dutch news event extraction as a basis for news diversification. aug: au: 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 sug: 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. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Language Resources & Evaluation is a copyright of Springer, 2023. All Rights Reserved. item: Language Resources & Evaluation holder: Springer Nature dt: @attributes: year: 2023 holdings: @attributes: islocal: N |
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