The News Angler Project: Exploring the Next Generation of Journalistic Knowledge Platforms

Authors

  • Marc Gallofr´e Oca˜na Dept. Information Science and Media Studies, University of Bergen, Norway
  • Andreas L. Opdahl Dept. Information Science and Media Studies, University of Bergen, Norway
  • Sergej Stoppel Wolftech Broadcast Solutions, Bergen, Norway
  • Bjørnar Tessem Dept. Information Science and Media Studies, University of Bergen, Norway
  • Csaba Veres Dept. Information Science and Media Studies, University of Bergen, Norway

Abstract

The News Angler project aims to support journalists in finding new and unexpected connections and angles in the news. The project therefore explores how recent artificial intelligence (AI) techniques — such as knowledge graphs, natural-language processing (NLP) and machine learning (ML) — can support high-quality journalism that exploits big and open data sources. A central contribution is News Hunter, a series of prototype journalistic knowledge platforms (JKPs).

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Published

2021-11-22

How to Cite

[1]
M. . Gallofr´e Oca˜na, A. L. Opdahl, S. . Stoppel, B. . Tessem, and C. Veres, “The News Angler Project: Exploring the Next Generation of Journalistic Knowledge Platforms”, NIKT, no. 2, Nov. 2021.

Issue

No. 2 (2021): NOKOBIT Norsk konferanse for organisasjoners bruk av IT

Section

Posters

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