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Intelligent Information Systems (I2S)
Project: News Angler

Discovering unexpected connections in the news

The News Angler project aims to support journalists finding new and unexpected angles on unfolding news stories, along with suitable background information. The project therefore explores how artificial intelligence (AI) techniques can leverage big open data sources to support high-quality journalism. Central AI techniques so far are knowledge graphs and natural-language processing.

News Angler samler informasjon fra ulike kilder og tilrettelegger den for journalistisk arbeid.
News Angler harvests information from various sources, analyses and organises it semantically, and makes it available for journalistic work.
Photo:
AL Opdahl

Main content

Our evolving News Hunter platform harvests potentially news-related information in real time from textual sources, such as social media, commercial news aggregators, and open reference sources. Knowledge graphs and related semantic techniques are used to represent and integrate this diverse information as networks that can be stored, analysed, and shared more easily, precisely, and in new ways.

The project is a collaboration between the University of Bergen (UiB) and Wolftech Broadcast Solutions AS, a developer of newsroom tools for the international market. The cross-disciplinary project team at UiB belongs to the research group for Intelligent Information Systems (I2S), located in the Department of Information Science and Media Studies and associated with Media City Bergen. The project employs a Post-Doc and a Ph.D. and involves several other collaborators and guests.

For more information about activities, papers and people, please visit the News Angler project web pages.

Sources: Andreas L Opdahl, Arne Berven, and Ingrid Aarseth Johannessen,