Nick Diakopoulos: The Potential of Fine-Tuning Large Language Models on Newsroom Data

Nick Diakopoulos, Communication Studies and Computer Science Professor at Northwestern University joins Nikita Roy to discuss the opportunities fine-tuning Large Language Models offer for news organizations, and the impact of generative AI on news production and the broader information ecosystem. Nick directs the Computational Journalism Lab and is Director of Graduate Studies for the Technology and Social Behavior doctoral program. He's also the author of the award-winning book "Automating the News: How Algorithms are Rewriting the Media," published by Harvard University Press. His research focuses on computational journalism, including automation and algorithms in news production and algorithmic accountability and transparency. Thoughts or questions? You can reach us here. Hosted on Acast. See acast.com/privacy for more information.

What this episode covers

Nick Diakopoulos, Communication Studies and Computer Science Professor at Northwestern University joins Nikita Roy to discuss the opportunities fine-tuning Large Language Models offer for news organizations, and the impact of generative AI on news production and the broader information ecosystem. Nick directs the Computational Journalism Lab and is Director of Graduate Studies for the Technology and Social Behavior doctoral program. He's also the author of the award-winning book "Automating the News: How Algorithms are Rewriting the Media," published by Harvard University Press. His research focuses on computational journalism, including automation and algorithms in news production and algorithmic accountability and transparency. Thoughts or questions? You can reach us here. Hosted on Acast. See acast.com/privacy for more information.

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This episode is 39 minutes long.

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This episode was published on September 28, 2023.

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