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Artificial Intelligence (AI) Adoption by Journalists in Zambia: Survey Report

Teldah Mawarire, Meck Phiri (eds.)

USAID; FHI 360; Internews (2024), 12 pp.

"The survey report of 70 Zambian media professionals found that 60% of journalists use AI tools, with chatbots, image and video analysis, and automated content generation being the most utilized tools. Although AI tools might have improve efficiency, some respondents found the integration process to ... more

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Inteligencia artificial para la generación de contenidos en Iberoamérica: Experiencias editoriales en medios de comunicación

Alexis Apablaza-Campos, Jaime Andrés Wilches Tinjacá (eds.)

Bogotá: Data Factory (2024), 136 pp.

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The Peril and Promise of AI for Journalism

Nishtha Gupta, Jenina Ibañez, Chris Tenove

Centre for the Study of Democratic Institutions (CSDI) (2024), 13 pp.

"This report draws on insights from the workshop, along with recent academic and journalistic publishing. It highlights three major issues: How generative AI can make disinformation campaigns faster, more targeted, and more persuasive. How newsrooms’ adoption of AI tools can lead to inaccuracies a ... more

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Control Beyond Code: Ownership and Financial Insights of AI Used in Journalism

Sydney Martin

Santiago de Compostela: Media and Journalism Research Center (MJRC) (2024), 17 pp.

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Constructive AI Compass: Knowledge, Tools and Tips for Everyday Journalism

Bonn: Bonn Institute (2024), 72 pp.

"This little booklet is brimming with AI knowledge and sample prompts that can help with brainstorming ideas, conducting research and preparing for interviews. How does artificial intelligence work? How did it come about, and what impact does it have on the environment? What are the legal parameters ... more

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AI Adopition in Bangladeshi Newsrooms 2024

Maliha Tabassum

Dhaka: Management and Resources Development Initiative (MRDI); Asia Foundation (2024), 40 pp.

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The Palgrave Handbook of Cross-Border Journalism
Deep Insights

Liane Rothenberger, Martin Löffelholz, David H. Weaver (eds.)

Cham: Palgrave Macmillan (2024), xxv, 618 pp.

"This handbook critically analyzes cross-border news production and "transnational journalism cultures" in the evolving field of cross-border journalism. As the era of the internet hasfurther expanded the border-transcending production, dissemination and reception of news, and with transnational co- ... more

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Local Journalism, Global Challenges: News Deserts, Infodemic and the Vastness in Between

Adriana Gonçalves, Carmen Neamtu, Chuchu Zhao et al.

Covilhã: LabCom; Beira Interior University (2024), 203 pp.

"[...] Pedro Jerónimo’s anthology addresses a highly relevant topic. It offers insights into the state of local media in countries where little research has been published to date. Of the eight contributions in the volume, four focus on Europe and Latin America (Romania, Portugal, Europe, and Bra ... more

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AI in Journalism Challenge 2023. Final Report

David Caswell

New York: Open Society Foundations (2024), 60 pp.

"This report describes the Applied AI in Journalism Challenge (AIJC)—a competitive accelerator program intended to prototype pragmatic applications of artificial intelligence (AI) capabilities in mission-driven newsrooms around the world. The program was launched in June 2023 and ran until Novembe ... r 2023. Funding was provided by the Open Society Foundations. The author of this report was the lead consultant for the project. The AIJC program was the first of its kind and therefore was itself a prototype—both of a process for accelerating the pragmatic adoption of AI within newsrooms, and also of an approach to developing investment opportunities around applying AI to news. The program was largely successful, developing a cohort of capable and motivated teams and actively engaging with them as they developed substantial new capabilities. The program also succeeded in producing a range of practical insights for its different stakeholder groups—newsrooms, program operators, investors, and the news industry generally. This report provides a complete record of the AIJC program. The primary intention in writing it is to contribute the experience and insights accumulated during the program to the global journalism community, and to provide sufficient detail and specificity to be directly useful to anyone seeking to apply those lessons to hands-on projects, accelerator programs, and investments. The first section of the report provides a systematic description of the program, including why it was initiated, what it was trying to achieve, how it was set up, and how it actually played out in practice. The second section reviews the tangible outcomes of the program and describes the “funneling” of projects from the proposals in the initial applications, to the teams selected to participate in the program, to the finalist projects, to the eventual program winner (and runner up). The third section lists the specific lessons learned by the AIJC community, one by one, with a detailed explanation of each lesson and the evidence for it from the program. The fourth section gathers and analyzes these lessons to provide a succinct set of specific recommendations, organized for newsrooms, for operators of similar AI in news accelerator programs, for investors, and finally for the global news ecosystem. The fifth and final section draws on those lessons to look into the near future and offers some general opinions and guidance for changes that we might anticipate for news in the age of AI, as well as some guidance for preparing journalism for that transformation." (Introduction, page 4) more

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AI in Journalism Futures. Initial Report

David Caswell, Shuwei Fang

New York: Open Society Foundations (2024), 56 pp.

"The AI in Journalism Futures (AIJF) project explored how artificial intelligence (AI) might fundamentally transform our information ecosystem over the next five to 15 years. Engaging nearly 1,000 global participants, including journalists, technologists, academics, and civil society advocates, the ... project’s objective was to understand the range of possibilities for long-term impact of AI on journalism using a scenario planning approach. An open call for applications produced short scenarios from 880 participants, from which 40 were selected to participate in a scenario planning workshop held in Piedmont, Italy, in April 2024. This workshop facilitated the refinement of five robust and plausible future scenarios. The five key scenarios developed were: “Machines in the Middle,” in which AI-driven newsgathering and news production enables newsrooms to operate essentially without human journalists; “Power Flows to Those Who Know Your Needs,” emphasizing the shift of power to those who best understand individual information needs in an AI-empowered information ecosystem; “Omniscience for Me, Noise for You,” depicting a societal divide where some are super-empowered by AI while others may be overwhelmed by distracting or low value information; “AI with Its Own Agency and Power,” envisioning AI systems operating in the information ecosystem with minimal human oversight; and “AI on a Leash,” in which societal or regulatory constraints limit AI’s transformative potential. The workshop produced near-unanimous agreement that AI would fundamentally transform the information ecosystem, but also difficulty in articulating specifically how this transformation might occur, with participants often defaulting to extensions of the status quo. There was considerable skepticism about the ability of traditional journalism institutions to adapt successfully to an AI-driven future, and participants tended to envision coming changes in terms of power shifts away from journalists, with little attention to how those changes might increase or decrease value for audiences. The results of the AIJF workshop underscore the urgency for stakeholders in journalism and civic information to engage in long-term planning and adaptation strategies to effectively navigate the coming AI-mediated information ecosystem. The scenarios and insights provided aim to guide these efforts, offering a foundation for understanding and thinking about journalism’s AI future." (Executive summary) more

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Inteligencia Artificial y Comunicación

Lizy Navarro Zamora, Jorge Alberto Hidalgo Toledo, Griselda Guillén Ojeda, Edith Cortés Romero, Miriam Herrera Aguilar et al. (eds.)

RIA Editorial (2024), 370 pp.

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AI and the future of journalism: An issue brief for stakeholders

Anya Schiffrin

Paris: UNESCO (2024), 18 pp.

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Reporting on Artificial Intelligence: A Handbook for Journalism Educators

Maarit Jaakkola (ed.)

Paris: UNESCO (2023), 133 pp.

"[...] While many AI deployments serve public interest, journalists also need insight and expertise to alert about aspects like exclusions, unequal benefits, and violations of human rights. As part of its journalism education series, UNESCO’s International Programme for the Development of Communic ... more

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AI and automated decision-making in news and media: Key technologies and emerging challenges

Melbourne: ARC Centre of Excellence for Automated Decision-Making and Society; RMIT University (2023), 37 pp.

"Automated systems and processes are a common feature of the news and media environment. This report introduces four key examples: search, recommendation, automated content moderation and curation, and advertising technology (AdTech). We provide a basic explanation of how these systems work at the t ... more

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Towards a Normative Perspective on Journalistic AI: Embracing the Messy Reality of Normative Ideals

Natali Helberger, Max van Drunen, Judith Moeller, Sanne Vrijenhoek, Sarah Eskens

Digital Journalism, volume 10, issue 10 (2022), pp. 1605-1626

"Few would disagree that AI systems and applications need to be “responsible,” but what is “responsible” and how to answer that question? Answering that question requires a normative perspective on the role of journalistic AI and the values it shall serve. Such a perspective needs to be grou ... more

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AI Journalism Starter Pack

London School of Economics and Political Science (LSE), Polis Journalism (2021), 26 pp.

"Welcome to the AI journalism Starter Pack, a guide designed to help news organisations learn about the opportunities offered by artificial intelligence (AI) to support their journalism. This guide will be of use to any news organisation approaching AI technologies but it is especially targeted at s ... more

The Palgrave Handbook of Cross-Border Journalism Deep Insights

The Palgrave Handbook of Cross-Border Journalism
Deep Insights