Media Party Buenos Aires 2026: Journalism in the Age of AI

The Trend AI-Powered Solutions Journalism Newsrooms are losing ground to AI answer engines and independent creators, and confidence in journalism as an institution keeps slipping only about a third of media leaders now say they're confident in journalism overall, a sharp drop from a few years back. (Reuters Institute) The response gaining traction isn't resistance to AI it's adoption. Social enterprises are increasingly using AI to shift from reacting to problems toward predicting and preventing them, extending both their reach and efficiency. For journalists building ventures rather than just filing stories, this is the trend to watch AI as an amplifier for evidence based, response-centered reporting not a replacement for the human judgment that makes a story trustworthy. What this looks like in practice: → Using AI to surface data patterns behind a crisis (climate, health, gender) faster than manual research allows → Pairing solutions journalism methodology with measurable impact tracking, so stories double as evidence for funders and policymakers → Letting community-generated content and AI assisted production coexist audiences want a human byline they trust, not synthetic content → Treating your media platform as infrastructure for your advocacy, not just a megaphone for it The founders and journalists who win the next few years won't be the ones with the loudest platform. They'll be the ones whose reporting can prove it moved something a policy, a budget line, a community outcome. #Journalism #SocialEntrepreneurship #SolutionsJournalism #AIInJournalism #MediaInnovation #ImpactStorytelling #ClimateJournalism #GenderAdvocacy #NigeriaMedia

Published! 🎉 I’m excited to share that our article, “On Their Own: Perception and Use of Generative AI among Ghanaian Broadcast Journalists,” has been published in African Journalism Studies. This study examines how Ghanaian broadcast journalists are engaging with generative AI in their newsroom practices and, importantly, how they are navigating the opportunities and challenges that come with these emerging technologies. I’m grateful to my co-authors, Dr. David E. Silva and Andrea Lorenz Dr. Andrea Lorenz, for the collaboration, thoughtful conversations, and work that went into this study. 📚 Read the article here:https://lnkd.in/egKM4-a6

Smaller newsrooms. Tighter deadlines. Infinite content demand. Journalism's economics are brutal — but the craft matters more than ever. AI copilots give individual journalists the research capacity of a full team: → Background research: Company histories, public records, financial context — in seconds, not hours → Source prep: Sharp interview questions that go beyond the press release → Fact-checking: Highlight claims, get instant verification with source citations → Format multiplication: One story → breaking brief, social thread, newsletter, radio script → FOIA processing: 200-page documents → extracted, flagged, prioritized The journalists thriving aren't the ones resisting AI. They're the ones using it to do MORE original reporting — not less. AI handles the processing. You handle the journalism. #Journalism #MediaTech #AIForMedia

A 2026 Nieman Journalism Lab prediction by Alyssa Zeisler closely paralleled our lab’s “adaptive”—not generative—AI tool, the Smart Story Suite. She predicted: “Structuring journalism as building blocks (facts, context, narrative, visual) that can be organized in different ways.” To engage more people with digital information they might otherwise ignore, why not structure that same content to support both short- and long-form engagement—with more selection, personalization, and interactivity? Our experimental studies with nearly 3,500 participants provide evidence that how we structure and present information can significantly influence engagement. Alyssa’s prediction: https://lnkd.in/edDTcys8

How news organizations are using AI to advance their vital missions: News organizations are using AI to strengthen reporting, grow audiences, and improve business operations, with OpenAI tools supporting journalists and publishers worldwide. 🔗 OpenAI News #AI #Journalism

AI-powered ‘pink slime’ journalism has arrived in Australia, and it may be a sign of what’s to come. Emily Horne spoke to Influencing about networks scraping original reporting, repackaging it with AI and the growing threat this model poses to legitimate publishers. 🔗 https://lnkd.in/g-KDznsC Nigel Bowen #AI #Journalism #Media

Some months ago, I set out to answer a very specific question: What do Nigerian journalists actually think about using AI tools in the newsroom, particularly across different stages of news writing? AI adoption in the Global South is often framed as a straightforward upgrade: introduce the tools, improve efficiency, and move forward. But after speaking with 10 media practitioners across Nigerian newsrooms, including BusinessDay, The Sun and CNBC Africa, I found something more interesting. They weren't simply adopting AI; instead, they were constantly negotiating with it. And in many cases, pushing back against what I came to think of as the “Silicon Gatekeeper.” The problem wasn't simply whether AI could generate a story. It was whether it could understand the context and cultural nuance behind the story. Participants spoke about outputs that felt generic, struggled with local nuances, and often failed to capture the tone, rhythm, and realities of Nigerian broadcasting and journalism. One broadcast participant put it particularly well: “AI is practically tone-deaf to the phonetic rhythm and local nuances of a local television broadcast.” This research led me to discover that Journalists weren't blindly accepting what the technology produced. They were rewriting, editing, correcting and, in some cases, deliberately subverting the output to preserve accuracy, context and their newsroom's voice. That, to me, is where the conversation around AI adoption becomes much more interesting. Adoption isn't always acceptance. Sometimes, it is negotiation. Sometimes, it is resistance. Nick Yin Zhang, your work on generative AI in frontline journalism was an important reference point for me as I thought through these dynamics. And to the journalists and producers across the Nigerian media ecosystem who gave their time and perspectives to this study, thank you. Your first-hand experiences made this research possible. I've continued thinking about these findings since publishing the full paper on SSRN, particularly what they tell us about generative AI, algorithmic resistance, cultural context and the future of AI-assisted journalism in the Global South. If you're researching or thinking about these questions too, I'd love for you to read the full paper. 🔗 https://lnkd.in/eN5yarhU

Very interesting study on news sources cited by AI, in this study that is measured within the borders of Hungary, which has just emerged from a period of fairly stark, FarRight censorship-styled political discourse. (So bad was that filtering news culture the new PM had had to travel from town to town during his election campaign because Orban had had him blacklisted from the media. So, very interesting imo.)>> ““The new #Hungary study examines 10 major #AI systems, including #ChatGPT-4, #Gemini, #Claude Code, #Perplexity, #Copilot, #Grok and #DeepSeek. Researchers asked the same questions in both English and The study looks not only at which sources AI systems cite, but also at which ones they recommend, warn users about, or associate with #disinformation.” ”The findings show just how differently AI systems can construct the same national information environment. EU institutions, Reuters and Wikipedia dominate the overall sourcing landscape, while the choice of language dramatically changes which journalism becomes visible. Hungarian newsrooms account for around one fifth of citations when questions are asked in Hungarian, but less than 4% when the same questions are asked in English.” -MJRC

Our Media and Journalism Research Center AI Information Map, a comparative project that studies pluralism of sources on AI chatbots, continues to expand. This week, we released the Hungary chapter: what sources of information are used by ten of the most prominent LLMs when you ask them Hungary-related questions (both in English and Hungarian). The results are quite revealing. On the one hand, again, the level of pluralism of sources is very high (unprecedented in the modern history of mass communication) and chatbots are very good at warning users about the use of captured media. On the other, though, journalistic sources are not that prominent, a strong signal that the communication ecosystem continues to change at a rapid pace, with journalism totally losing its central place in the overall communication space. #aipluralism #media #journalism #communication #chatbots

We’re starting the week with the release of a new study: the Hungary edition of the AI Information Map, a research project looking at which news and information sources AI systems surface when people ask questions about news, politics and public affairs. The new Hungary study examines 10 major AI systems, including ChatGPT-4, Gemini, Claude Code, Perplexity, Copilot, Grok and DeepSeek. Researchers asked the same questions in both English and Hungarian, drawing on around 320,000 archived AI responses. The study looks not only at which sources AI systems cite, but also at which ones they recommend, warn users about, or associate with disinformation. It also takes a closer look at Index.hu Zrt, which ranked as the 10th most-used source overall, accounting for 1.1% of all citations, and the fourth most-used Hungarian newsroom. Launched in 1999 from the earlier Internetto, Index.hu has been one of Hungary’s most-read news sites for more than two decades. Hungary is the third country covered by MJRC’s AI Information Map, following earlier studies in Romania and Spain. The wider project explores how AI is becoming a new intermediary between audiences and journalism deciding which sources to select, rank and recommend, and sometimes which ones to leave out, before users ever reach the original reporting. Find out more below! https://lnkd.in/dNz6TE9D