This episode features a workshop held by Newsroom Robots’ host Nikita Roy at the Craig Newmark Graduate School of Journalism at CUNY for the Entrepreneurial Journalism Creators Program. Focusing on the practical applications of generative AI tools, she explores how these advanced technologies can empower news entrepreneurs to streamline their workflows and shares numerous use cases for their implementation in the newsroom.Mentioned in this episode: The AI generated video produced for the workshopHow generative AI was used to create the Newsroom Robots podcast cover artUse case: Having ChatGPT act as a salesperson for a  hyperlocal newsroomAI tools discussed:ChatGPT: Text generation tool by OpenAI.Writer: Another text generation tool geared towards businesses  with a focus on privacy and a competitor to ChatGPTLumen5: Converts text to video.Eleven Labs: Text to speech voice generator.MidJourney: AI image generator.Poe MidJourney Prompt Bot: AI chatbot app to help you create MidJourney promptsDALL-E: Generates images from text powered by OpenAI.Bing Image Creator: Bing’s AI image generator based on text powered by OpenAIZapier: No-code automation tool that connects apps to create automated workflows.Thoughts or questions? You can reach us here. Hosted on Acast. See acast.com/privacy for more information.

In today’s episode, Ryan Serpico joins host Nikita Roy to discuss how he built the first generative AI tool that is helping power local newsrooms across Hearst Newspapers. Ryan is Hearst Newspapers first AI and Automation Engineer, where he takes advantage of the latest developments in generative AI to empower journalists in Hearst Newspapers' local newsrooms across the country. Prior to moving into this role, he spent three years at the San Antonio Express-News, first as a digital producer and then as a graphics reporter. He graduated from the University of Florida in 2018 with a bachelor's degree in journalism in 2018. You can follow him on mastodon (https://mastodon.social/@ryan_serpico) and on Twitter (https://twitter.com/ryan_serpico).We also discuss Ryan’s transition from the editorial side of the newsroom to the technical side, how he views privacy concerns regarding generative AI and his advice for journalists looking to get more technical with AI. Thoughts or questions? You can reach us here. Hosted on Acast. See acast.com/privacy for more information.

Pulitzer Prize-winning journalist Bill Adair, the creator of PolitiFact and the co-founder of the International Fact-Checking Network joins host Nikita Roy to discuss the current state of misinformation in the age of generative AI and the role of journalism in combating it.Bill is a Knight Professor of Journalism and Public Policy at Duke University, where he researches new ways to expand fact-checking and combat misinformation. He is currently working on a book about lying in politics. We discuss the potential threats and opportunities that generative AI brings to the industry, the cutting-edge work at the Duke Reporters Lab using generative AI, and the future of automated fact-checking. Tune in to hear Bill's optimistic outlook on leveraging AI to safeguard our information ecosystem.Thoughts or questions? You can reach us here. Hosted on Acast. See acast.com/privacy for more information.

In this episode, Tim O'Rourke, the Vice President for Content Strategy at Hearst Newspapers, shares his experience leading the group's DevHub editorial engineering and content strategy team that partners with HNP's local newsrooms on innovative projects and growth strategies. Hearst Newspapers produces 24 daily and 52 weekly publications across the United States. Previously, Tim was the director of product and strategy for The San Francisco Chronicle. He supervised the newsroom's product, website+app, multimedia, and audio staff; directed data-driven coverage; and oversaw the development of interactive projects and journalistic tools for Hearst Newspapers. His former roles include The Chronicle's managing editor, digital; assistant managing editor, and the executive producer of SFChronicle.com. He came to The Chronicle as the senior news editor, responsible for the print front page and news operations. He also served as the night-breaking news editor and the department head for the copy and wire desks. He developed the yearlong Chronicle Covers front-page archive project and wrote the occasional craft beer story for the Food+Wine department.Before joining The Chronicle in 2013, O'Rourke worked as an editor and writer at the San Jose Mercury News, Contra Costa Times, Santa Barbara News-Press, Hartford Courant, and Diablo Magazine.Join us as Tim delves into how Hearst is building their AI strategy in the age of generative AI, looking at the impact of AI-driven chatbots, the opportunities and hurdles in creating AI-powered tools, and Hearst's foray into VR and news gamification.  Hosted on Acast. See acast.com/privacy for more information.

In this episode, we explore the crucial considerations when developing an AI strategy and the potential risks of generative AI in the newsroom with Charlie Beckett, Director of the JournalismAI project at Polis – the international journalism think tank at the London School of Economics and Political Science(LSE). He is also a professor at LSE’s Department of Media and Communications. He was previously the director of LSE's Truth, Trust, and Technology Commission, which reported on the misinformation crisis in 2018. Charlie is the author of SuperMedia: Saving Journalism So It Can Save The World (Blackwell, 2008) and WikiLeaks: News In The Networked Era (Polity, 2012).Before LSE, Charlie was an award-winning journalist at LWT, BBC, and ITN, beginning his career at the South London Press and later a program editor at Channel 4 News.JournalismAI, a project of Polis supported by the Google News Initiative, is a global initiative committed to helping news organizations use artificial intelligence responsibly. By fostering innovation and capacity-building, JournalismAI aims to make the potential of AI more accessible and to address inequalities in the global news media related to AI. Through various programs, JournalismAI unites journalists and media professionals to discuss and explore AI, encouraging debates on AI's editorial, ethical, and financial implications on journalism.Join us as Charlie provides his valuable insights on the significance of AI literacy for journalists, the crucial questions to consider when developing an AI strategy for news organizations, the risks and potential limitations of generative AI, and the influence of AI-powered chatbots on search engine traffic.Be a part of the conversation on AI in journalism! Send us your questions here.Here’s a list of helpful resources concerning today’s episode:JournalismAI Case StudiesJournalismAI Starter Pack JournalismAI Discovery Course (Applications currently open)JournalismAI Survey Report (2019)Partnership on AI's Database of AI Tools for Local Newsroom  Hosted on Acast. See acast.com/privacy for more information.

How can journalists adopt a human-centered design mindset when building AI-driven products, and what skills will the next generation of journalists need to succeed in an AI-powered newsroom? Today we’re joined by Damon Kiesow, a digital media pioneer specializing in aligning community information needs and business strategies to support sustainable local journalism. Damon shares his expertise as a professor at the Missouri School of Journalism, author of the first textbook in News Product Management, and co-founder of the International News Product Alliance. He is also the co-founder of the summer pop-up newsroom, the Missouri Information Corps, and the creator of an audience and product-focused diversity internship program in partnership with the Institute of Nonprofit News.Before joining Mizzou, Damon served as director of Product for McClatchy, where he created the company’s first Product Design and User Experience Research teams. Over at The Boston Globe, as a senior product manager, he helped guide the publication’s mobile strategy. In Nashua, New Hampshire, he served as the managing editor/online at The Telegraph, where he helped the Newsroom pursue a digital-first local news strategy — launching the newspaper’s first mobile app and video journalism efforts.In this episode, we get Damon’s views on how newsrooms can approach AI, delve into the importance of a human-centered design mindset when incorporating AI into newsrooms, and discuss the essential skills journalism students must develop to succeed in this evolving landscape. Be a part of the conversation on AI in journalism! Send us your questions here. Hosted on Acast. See acast.com/privacy for more information.

In this episode, we explore the potential of ChatGPT for local newsrooms with Joe Amditis, author of Beginner's Prompt Handbook: ChatGPT for Local News Publishers. Joe is the Assistant Director of Products and Events at the Center for Cooperative Media at Montclair State University, an Adjunct Professor at the School of Communication and Media, and the producer and host of the WTF Just Happened Today podcast. Joe, a veteran of the NJ Army National Guard, was deployed to Iraq in 2008 and his unit was activated to help with Hurricane Irene relief efforts in 2011. He earned a BA in political science and criminal justice from Rutgers in 2013 and an MA in engaged journalism from the Newmark Graduate School of Journalism at CUNY in 2016. He was co-founder and director of operations of Muckgers, an award-winning, student-focused investigative news outlet, until 2014.Joe has also coordinated several collaborative reporting projects, including Democracy Day, a nationwide reporting collaborative involving 300+ newsrooms across the United States.We explore the exciting world of ChatGPT and its potential to revolutionize local journalism, discussing the transformative power of generative AI, ethical considerations, prompt engineering, and the future of local newsrooms in the age of AI. Joe can be reached at amditisj@montclair.edu and on Twitter at @jsamditis.Here’s a list of helpful resources concerning today’s episode:Beginner's Prompt Handbook: ChatGPT for Local News Publishers (Center for Cooperative Media) - Discover Joe's comprehensive guide to using ChatGPT in local newsrooms.Giant List of Useful Tools and Websites (Center for Cooperative Media) - A treasure trove of tools and resources for newsroom operations.Template: ChatGPT Usage and Newsroom Ethics Policy (Center for Cooperative Media) - This template facilitates transparency in newsrooms' ethics policies regarding the use and disclosure of generative AI.Trusting News Newsletter (Trusting News) - Stay informed about building trust in journalism with this insightful newsletter.Journalism AI Starter Pack (LSE) - Get started with AI in journalism with this comprehensive resource from the London School of Economics.Be a part of the conversation on AI in journalism! Send us your questions here Hosted on Acast. See acast.com/privacy for more information.

As AI technology rapidly evolves, how will it transform journalism and newsrooms? In our first episode, we delve into the intersection of AI and journalism with our guest, Matt Karolian, General Manager of Boston.com and Platforms at the Boston Globe. In 2017, Matt spent a year at Harvard and MIT as a Nieman Fellow studying how AI and automation might impact the future of news, media, and publishing. He teaches Audience Engagement: Journalism in the Age of Google, Facebook, Twitter, and Apple at the Harvard Extension School.Join us for this insightful conversation as Matt shares his experience leading the AI efforts at The Boston Globe. He provides a unique perspective on how the news industry can adapt, innovate, and flourish in the age of AI. We explore the implications of generative AI on journalism, tackle concerns related to AI disclosure, trust, accuracy, and bias, and examine the impact of AI-powered search engines on search traffic for publishers.Be a part of the conversation on AI in journalism! Send us your questions here.  Hosted on Acast. See acast.com/privacy for more information.

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