Paper accepted for the Computers in Industry journal
Our paper about the previous News Hunter prototype is accepted for publication in Elsevier’s journal Computers in Industry: A Knowledge-Graph Platform for Newsrooms by Arne Berven at Wolftech, along with Ole A. Christensen, Sindre Moldeklev, Andreas L. Opdahl, and Kjetil J. Villanger. It significantly updates, improves, elaborates, and extends our previous NOKOBIT paper from 2018.
Abstract; Journalism is challenged by digitalisation and social media, resulting in lower subscription numbers and reduced advertising income. Information and communication techniques (ICT) offer new opportunities. Our research group is collaborating with a software developer of news production tools for the international market to explore how social, open, and other data sources can be leveraged for journalistic purposes. We have developed an architecture and prototype called News Hunter that uses knowledge graphs, natural-language processing (NLP), and machine learning (ML) together to support journalists. Our focus is on combining existing data sources and computation and storage techniques into a flexible architecture for news journalism. The paper presents News Hunter along with plans and possibilities for future work.