Automating the News

Curious about AI journalism and the future of media work?

Automating the news

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Welcome to a seminar with one of the leading expert in the field, Nicholas Diakopoulos. The talk will be based on his newest book Automating the News: How Algorithms are Rewriting the Media published on Harvard University Press.


Time: 14:15-15:00

Date: 29th of August

Location: UiB Læringslab on 3. floor tower one, Media City Bergen.

Organized by the ViSmedia project and the Journalism Research Group at the Department of Information Science and Media Studies.

Link to Facebook event: https://www.facebook.com/events/396905940962332/

Welcome to an intriguing and interesting talk about the future of journalism an AI and how they can coexist.


Want to know more about Nicholas research and his thoughts on the new technology watch his lecture from this year’s ViSmedia Conference «Visual Transparency in the Media» here or read an interview with him about him about his research for his newest book here.


Newsroom work has always adapted to waves of new technology, including photography, telephones, computers – or even just the copy machine. Journalists will adapt to work with AI, too. As a technology, it is already and will continue to change news work, often complementing but rarely substituting for a trained journalist.I’ve found that more often than not, AI technologies appear to actually be creating new types of work in journalism

Nicholas Diakopoulos


Nicholas Diakopoulous


Nicholas Diakopoulos is an Assistant Professor in Communication Studies and Computer Science (by courtesy) at Northwestern University where he is Director of the Computational Journalism Lab (CJL). He is also a Tow Fellow at Columbia University School of Journalism as well as Associate Professor II at the University of Bergen Department of Information Science and Media Studies. He received his Ph.D. in Computer Science from the School of Interactive Computing at Georgia Tech where he was involved in the early development of the field of Computational Journalism. His research is in computational and data journalism with active projects on algorithmic accountability and transparency, automation and algorithms in news production, and social media in news contexts. He is the author of the book, Automating the News: How Algorithms are Rewriting the Media from Harvard University Press. For the fall of 2019 he is a member of the Washington Post's Computational Political Journalism R&D Lab where he is working on automated and algorithmic approaches to covering the 2020 US elections.