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MediaMorph Edition 108 - by Mark Riley
Monster Reuters survey flags AI chatbot opportunities
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The written-by-a-human bit
AI chatbots are not yet replacing news — but they are changing what people want from it
The most interesting finding in this year’s Reuters Institute Digital News Report is not that AI chatbots have suddenly become the new front page. They have not. Only 10% of people globally now use AI chatbots for news each week, up from 7% last year, and just 1% say AI is their main source of news. So, let’s not declare the death of journalism quite yet. But let’s also not pretend this is trivial. A 40% proportional rise in one year is not nothing, especially when the behaviour is concentrated among younger, heavier, more curious news consumers.
The really important point is the use case. People are not simply asking ChatGPT or Gemini to “give me the news”. The most common behaviour is asking follow-up questions. That matters. It suggests the value of AI is not only speed or convenience, but interrogation and deeper research. Curious (ie valuable) readers want to prod the story, ask what it means, fill in the gaps, test the assumptions, and get the missing context. In other words, they are trying to turn the news from a static product into a conversation.
That should make publishers pause. For 25 years, most digital news has still been shaped around the article as the atomic unit: headline, image, intro, body copy, related links, comments if you are feeling brave. But the AI interface invites a different behaviour. “Explain this to me.” “What’s the background?” “Why does it matter?” “Who benefits?” That is not search. It is not social. It is not even really aggregation. It is news as an explainer engine.
The second tier of use cases makes the point even clearer. People are using AI chatbots to get the latest news, summarise stories, and make complex issues easier to understand. In the UK and Canada, summarisation is the top draw. In Austria and Germany, it is making the news easier to understand. In parts of Asia, simply getting the news ranks highest. There is a clear editorial lesson here. Readers do not just want more content. They want compression, clarity, translation, synthesis and context. Some of that sounds dangerously close to what good journalism was supposed to do in the first place.
The uncomfortable finding for publishers is click-through. Only 4% of all respondents say they always or often click through to original news sources from AI chatbots, compared with 19% from search and 17% from social. In the UK, it is just 1%.
Hence, we argue that news publishers need to lean into this technology. In my view, every article should have an attached “want to learn more?” answer engine, in the same window, just above the comment section.
The strategic challenge for publishers is not simply to get better at AI summaries. The challenge is to build products, formats and editorial habits around the things AI users are clearly signalling they value: follow-up questions, provenance, depth, explanation, reliability and trust.
Newsrooms should be thinking harder about living explainers, structured briefings, “why this matters” boxes, and suggested conversational FAQs that anticipate the next question before the reader asks it.
AI chatbots may not yet be the main gateway to news, but they are already revealing what the next gateway will feel like. Less like a homepage. More like a very demanding reader who refuses to stop asking: “Yes, but why?”
Whatever your views on AI in the newsroom, AI is the gift that keeps on giving for headline writers. The weekend just gone was no exception, as the Anthropic Fable 5 debacle broke and ran all weekend. It is an important story about power, personality and politics rather than technology. Hats off then to Axios, The WSJ, The Information and Politico for sharp inside analysis and keeping their heads while the rest of us looked on in disbelief.
Following on from our analysis last week about the need for a bot front door policy, Digiday reports how Reuters and Time are adopting bot-blocking whitelists to rein in AI crawlers. Time has partnered with Scalepost to handle bot visibility and access. Meanwhile, the IAB TechLab had published a handy DIY guide. Still confused? Speak to us for a bot strategy workshop! [email protected]
Mark Riley, CEO Mathison AI
AI and Journalism
This week’s best articles, as chosen by HANA and our editors
DNR: What audiences actually need from you right now Journalism UK - June 16, 2026 The latest Reuters Institute's Digital News Report reveals a significant decline in trust and interest in news, with nearly half of respondents avoiding it altogether. To regain credibility and engage audiences, news organizations must prioritize transparency, quality reporting, and personalized content that caters to the specific needs and interests of their audience. |
Same gatekeepers, new tollbooths in the AI content licensing market Brookings - June 9, 2026 A new report highlights the challenges faced by publishers in the AI-driven content landscape, where major tech companies dominate and often exploit news content without fair compensation. As the market evolves, the need for stronger licensing frameworks and collective action among publishers becomes urgent to ensure their contributions are valued and protected against declining traffic and revenue. |
Reuters and Time flip the script on AI bots with blocking whitelists The Media Copilot - June 11, 2026 Reuters and Time have adopted a whitelist strategy to block unauthorized AI bots from scraping their content, addressing the compensation imbalance between publishers and AI companies. This proactive approach not only reduces server costs but also emphasizes the importance of valuing content in an evolving AI landscape. |
AI won’t replace jobs humans are good at. Now people just need to prove their worth Monocle - June 14, 2026 As AI reshapes the media landscape, Monocle champions human-created content, emphasizing that skilled journalists are irreplaceable in delivering quality and trustworthy narratives. By embracing their role as storytellers and using humor to engage audiences, journalists can transform challenges into opportunities for connection and understanding. |
Time’s editor-in-chief on AI, relationships and what makes a good pitch Prdaily - One of the nation's oldest media brands is evolving its strategy to prioritize audience relationships, recognizing that technology shifts how people engage with content. By focusing on trust and community, the brand aims to create meaningful interactions, ensuring it remains relevant in today’s dynamic media landscape. |
How BBC Eye built a multi-agent AI system to sift through ten thousand Russian social media posts Ox - A team of OSINT specialists and journalists leveraged advanced technology to enhance their investigative efforts, allowing for rapid data analysis and real-time collaboration. This modern approach enriched their reporting, leading to more thorough and accurate findings in the pursuit of truth and accountability. |
New York Legislature Passes Landmark Bill to Disclose AI-Generated News to the Public Nysenate - Senator Patricia Fahy and Assemblymember Nily Rozic, alongside the NY FAIR NEWS Act coalition, announced progress on legislation aimed at enhancing media transparency, accountability, and equitable access to information. The initiative emphasizes combating misinformation, supporting local journalism, and ensuring a well-informed public in New York. |
Editorial: Are you a simulation? AI and the art of the interview Chemical & Engineering News - June 12, 2026 As AI evolves, verifying human authenticity has become essential for journalists, who are now employing techniques like asking sources to stand during video calls to distinguish between real individuals and AI avatars. With audiences increasingly wary of AI-generated content, transparency in journalism is crucial to maintain trust and integrity in reporting. |
Google’s New AI-Fueled Search Bar Threatens to Further Upend Journalism Industry Truthout - June 9, 2026 Google's recent shift towards an AI-driven search model raises concerns about the future of independent journalism, as traditional web links are replaced by AI-generated summaries, threatening trust in information sources and leading to significant traffic losses for outlets like Truthout. Amidst growing public skepticism about AI's role in news, grassroots movements are emerging to resist corporate dominance, emphasizing the importance of supporting reliable journalism and enhancing media literacy. |
The Duke Course Where Failing Is An Option In a hands-on course bridging public policy and computer science, students tackled journalism's challenges using AI, partnering with local journalists to create innovative solutions like a newsletter aggregator and a tool for summarizing public records. Highlighting practical problem-solving and the value of experimentation, the course encouraged students to embrace failure as a pathway to learning. |
Uncovering AI’s Human Cost: A Non-Technical Toolkit for Investigative Reporters Gijn - Holding AI systems accountable involves focusing on ethical implications, biases, and societal impacts rather than just technical details. By engaging diverse perspectives and establishing clear guidelines, stakeholders can ensure AI aligns with societal values and fosters meaningful oversight. |
A Peter Thiel-Backed Tribunal Is Putting Journalists on Trial. I’m Its First Target The Hollywood Reporter - June 12, 2026 In a controversial move, tech startup Objection, backed by billionaire Peter Thiel and led by Aron D’Souza, aims to reshape reputation management through an AI tribunal that adjudicates the truthfulness of journalistic articles, with Michael Sackler of Purdue Pharma as its first high-profile case. D’Souza advocates for transparency in media while challenging traditional journalism's accountability, asserting that wealthy individuals need support navigating their public personas amidst scrutiny. |
The UK Just Said No to Google's AI News Grab. Who's Next? Tech Policy Press - June 10, 2026 The UK's Competition and Markets Authority has ruled that Google must allow news publishers to opt out of having their content used in AI-generated summaries without losing search visibility, marking a significant win for independent journalism. This decision highlights the need for global regulatory collaboration to hold Big Tech accountable and protect the future of democracy and journalism. |
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AI and Academic Publishing
This week’s best articles, as chosen by HANA and our editors
Writing & Publishing Awards Have Difficult Decisions to Make Regarding AI Jane Friedman - May 27, 2026 The debate over the use of AI in writing intensifies as publishing organizations grapple with enforcing policies on its integration, amid concerns about artistic integrity and fairness. While some argue for strict anti-AI measures, others advocate for recognizing AI as a legitimate tool that can enhance creativity, highlighting the need for balanced standards in evaluating literary work. |
Responsible AI for academic libraries Research Information - June 11, 2026 A recent Clarivate white paper reveals that 67% of higher education libraries are exploring or implementing AI technologies, albeit cautiously, with librarians prioritizing trust and transparency. The findings highlight best practices for integrating AI while maintaining core values in library operations—download the paper for a deeper dive into this evolving landscape! |
At the AUPresses Conference, Publishers Strive for Durability and Trust The recent Association of University Presses conference in Seattle drew attention to the pressing challenges facing academic publishers, such as budget cuts and diversity issues, while emphasizing the importance of integrating AI and a human touch in their missions. Key discussions highlighted the need for university presses to demonstrate their value to scholarly communities and adapt to the evolving landscape of publishing. |
Do we need harsher sanctions for research misconduct? Times Higher Education (THE) - June 15, 2026 A heated debate in academia unfolds as Professor Jim Miller argues that hallucinated AI-generated references should be seen as minor mistakes rather than severe ethical breaches, sparking backlash from colleagues who advocate for stricter penalties to maintain academic integrity. This discussion highlights the broader implications of AI's role in research and the challenges it poses to traditional standards of citation and accountability. |
Rockefeller University Press Collaborates with Cashmere to Enhance BIOENGINEER.ORG - June 12, 2026 Rockefeller University Press has teamed up with Cashmere to integrate its peer-reviewed scientific literature into AI research tools, ensuring the ethical use of high-quality sources while protecting intellectual property rights. This collaboration aims to foster transparency and accountability in AI applications within the life sciences, setting a precedent for responsible content utilization in the emerging "inference economy." |
Astronomy researchers are panicking as AI systems rapidly grows Yahoo News - June 9, 2026 As reliance on AI systems in astrophysics grows, experts warn it may undermine essential skills like independent reasoning and mathematical intuition among graduate researchers, posing challenges for future scientific discovery. Meanwhile, the American Astronomical Society faces an influx of low-quality submissions as AI tools reshape academic research, raising concerns about the integrity of the scientific process. |
John Wiley faces earnings test on AI licensing momentum John Wiley & Sons is set to release its fourth-quarter fiscal 2026 results on Tuesday, with investors keenly awaiting insights into revenue growth, profitability, and strategic initiatives. Key metrics such as EPS and revenue figures will be closely analyzed, alongside commentary on market trends and challenges in the publishing and education sectors. |
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