{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/64c86a5585617f0011a4a263/6515031d6d392d0011b489b5?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"Nick Diakopoulos: The Potential of Fine-Tuning Large Language Models on Newsroom Data","thumbnail_width":200,"thumbnail_height":200,"thumbnail_url":"https://open-images.acast.com/shows/64c86a5585617f0011a4a263/1698733100947-27fe9872f66ce4e51862f771c824f550.jpeg?height=200","description":"<p>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.&nbsp;</p><p><br></p><p>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.&nbsp;</p><p><br></p><p>Thoughts or questions? You can reach us <a href=\"https://forms.gle/egyJZDsGjogiyNTH8\" rel=\"noopener noreferrer\" target=\"_blank\">here</a>.</p>","author_name":"Nikita Roy"}