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Journalism in the AI era: Opportunities and challenges in the Global South and emerging economies
Deep Insights

Damian Radcliffe

Thomson Reuters Foundation (2025), 66 pp.

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2024-25 Annual Report: Dynamic Coalition on the Sustainability of Journalism and News Media

Waqas Naeem, Daniel O’Maley, Courtney C. Radsch, Aws Al-Saadi, Lei Ma, Nompilo Simanje

Internet Governance Forum; Dynamic Coalition for the Sustainability of Journalism and News Media; Global Forum for Media Development (GFMD) (2025), 50 pp.

"[...] Just as AI technologies are disrupting the business model of the Internet, they will also have a significant impact on the financial sustainability of the news media. The ability of AI tools to generate and aggregate content and produce news-style summaries might altogether bypass the news me ... more

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Challenges and Developments in Public Service Journalism

Alessandro D'Arma, Maria Michalis, Gregory Ferrell Lowe, Michael-Bernhard Zita (eds.)

London: University of Westminster (2025), xi, 297 pp.

"Challenges and Developments in Public Service Journalism, the 11th RIPE Reader, examines the role of public service journalism, as well as the opportunities and challenges of delivering it in today's increasingly complex and competitive digital media environment. The volume is organised in three pa ... more

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From Crisis to Renewal: Addressing AI’s Impact on Our Information Ecosystem

Lena Maria Böswald, Roa Powell, Tyreese Calnan

Berlin: Interface – Tech Analysis and Policy Ideas for Europe (2025), 18 pp.

"AI-driven search-summary features, with Google's AI Overviews (AIOs) being the most promiment example, are rapidly transforming how people access news, with profound implications for our information ecosystem. While AI holds potential to improve access to information, its current deployment risks u ... ndermining the sustainability, diversity, and reliability of news. As AI summaries summarise information directly within search results, they can significantly reduce traffic to news publishers. Evidence suggests users are less likely to click through to original sources when AIOs are present on Google, threatening the financial viability of journalism. These impacts from AI summaries and AIOs in particular are unlikely to be evenly distributed and will play out in different ways across the news sector across Europe, with smaller and ad-funded outlets particularly vulnerable, raising concerns about declining media plurality. At the same time, AI-generated summaries often fail to provide accurate and diverse information. Research shows that AI tools disproportionately rely on a narrow set of sources, marginalising smaller publishers. In addition, persistent issues with accuracy – including misleading or incorrect outputs – risk distorting public understanding and weakening trust in information systems. Current regulatory frameworks in both the EU and UK are struggling to address these challenges effectively. While multiple legal instruments are relevant and already in place – including competition law, platform regulation, copyright, and AI governance – none are fully equipped to respond quickly and comprehensively to the harms of monopolisation and the lack of remuneration for media outlets posed by AI summaries. We argue that competition policy offers the most effective and immediate route to intervention, with digital regulation serving as a secondary lever. The UK’s approach, based on flexible, case-specific competition rules, enables faster action through tailored conduct requirements for dominant firms like Google. In contrast, the EU’s framework is broader but slower, relying more heavily on traditional, time-intensive antitrust investigations and ongoing debates around copyright and remuneration for publishers. Both systems offer complementary strengths, and policymakers should learn from each other’s approaches. We therefore recommend a “competition-first” policy package to ensure fairer outcomes. Key measures include enforcing fair ranking and attribution practices, preventing unauthorised use of publisher content, and potentially requiring platforms to compensate news organisations. However, competition policy alone is not the key. We therefore propose additional long-term interventions, including greater transparency through “nutrition labels” for AI-generated content and increased public or democratic funding for journalism. These measures aim to strengthen the resilience and independence of the news sector, ensuring that trustworthy information remains accessible in an information ecosystem shaped by AI." (Executive summary) more

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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 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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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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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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AI Adopition in Bangladeshi Newsrooms 2024

Maliha Tabassum

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

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How Artificial Intelligence is Changing Media and Journalism in Central Europe: A study mapping the use of AI by newsrooms in the Czech Republic, Hungary, Poland and Slovakia

Marius Dragomir (ed.)

Thomson Foundation; Media and Journalism Research Center (MJRC) (2024), 18 pp.

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

Anya Schiffrin

Paris: UNESCO (2024), 18 pp.

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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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Google Scholar (143)

WorldCat (159)

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 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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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

Journalism in the AI era: Opportunities and challenges in the Global South and emerging economies Deep Insights

The Palgrave Handbook of Cross-Border Journalism Deep Insights

Journalism in the AI era: Opportunities and challenges in the Global South and emerging economies
Deep Insights

The Palgrave Handbook of Cross-Border Journalism
Deep Insights