How to protect media trust in the AI era

📰 Media literacy, not machines, will define journalism. As AI reshapes how news is written, shared, and trusted, the real challenge isn’t mastering technology, it’s mastering critical thinking. True credibility now depends on AI literacy: knowing when to trust, question, and edit machine-generated content. 🔗 Read more: https://eurac.tv/9Ygq #AI #Journalism #MediaLiteracy #AI4TRUST #EthicalAI

Newsrewired spotlight: Andrew Grill on AI lessons beyond journalism: "The main barriers to AI are training, budgets, data quality, and outdated processes. For journalism, it’s about reimagining workflows: use AI as a decision partner to gather news, research, and qualify sources more efficiently" #digitalpublishing #journalism #onlinepublishing

AI’s Growing Role in American Journalism: What Does It Mean for Trust and Transparency? Almost 10% of U.S. news articles involve AI, yet only 5% reveal this fact. How does undisclosed AI use impact your trust in the media? Should news organizations be transparent about AI involvement? Are we prepared for AI-driven journalism to become the norm? Join the debate and share your view! #AIinJournalism #MediaTransparency #FutureOfNews

I had a very meaty and thoughtful conversation with Michael Depp about some of the most pressing issues -- and solutions -- facing those who care about journalism and technology. Here's a taste, but the full conversation is worth a watch. https://hubs.li/Q03R5y_10

**AI Revolutionizes News Media: The Future of Journalism Unveiled** In an era where technology shapes every facet of our lives, the news media is on the cusp of a transformative revolution. A recent article from *The New York Times* highlights how artificial intelligence is redefining journalism, shifting from traditional reporting to data-driven storytelling. 📊 AI tools can now aggregate and analyze vast amounts of data, producing news at lightning speed. According to a study by the Pew Research Center, 54% of journalists believe that AI will enhance their reporting capabilities by automating mundane tasks, allowing for more in-depth investigations. 📈 AI-driven algorithms can also tailor news to individual preferences, ensuring that readers receive more personalized content. However, this evolution raises questions about ethical standards and the integrity of journalism. As AI takes the helm, the need for human oversight becomes paramount. 🤔 Moreover, a survey from the Reuters Institute indicates that 63% of news consumers are concerned about the reliability of AI-generated content. The future of journalism is not just about efficiency; it's about maintaining trust and quality. As we embrace these innovations, it’s essential to navigate the fine line between technological advancement and ethical responsibility. 🌐 Join the conversation! How do you see AI reshaping your news experience? Share your thoughts below! 👇 #AI #Journalism #MediaTrends #FutureOfNews

#IndustryInsights 💡 Trust, Transparency, and the Atomic Unit of Journalism When anyone can publish “news,” trust becomes a literacy problem. In this week’s Dalet Industry Insights, Michael Depp, Editor at TVNewsCheck joins Marcy Lefkovitz, Dalet’s SVP of Product Innovation, to explore how technology and AI are reshaping journalistic practice, from provenance to personalization. “A question we all have to ask… what is the atomic unit of journalism now?” Watch the full conversation → https://lnkd.in/ecRNr_ve #Dalet #Journalism #AI #TrustInMedia #TVNewsCheck

Hey ChatGPT, help me answer this: How is generative AI impacting journalism? 🤖 AI is reshaping the media landscape — and not always for the better. As misinformation spreads faster through platforms like TikTok, Instagram, and X, the role of journalists and communicators has never been more vital. It’s time to protect truth, support creators, and champion human thought over machine shortcuts. 📰 Read more on how generative AI is impacting journalism — and why it matters now more than ever. 🔗 Read more: https://lnkd.in/gjTdGggf #JournalismMatters #AIEthics #Misinformation #MediaLiteracy #SupportLocalArtists

On Day 1 of the Science Journalism Forum (UAE 2025) #SJF25, which I participated in, a session on how we can balance algorithms with human judgment in the media caught my fancy. The session explored the tensions between algorithmic systems & human editorial judgment, & how #journalists retain autonomy & uphold values while embracing innovation. A member of the audience raised concern about an emerging social trend, 'AI shaming'/'AI phobia', which Shadi Diab of MSL Middle East, demystified. Diab explained that responsible use of #AI & a #media company's charter are most important. Bottom line: try to understand WHAT exactly journalists use #GenAI for; the specific prompts they adopt. Seek clarity; don't rush to judge! Photo credit: Saad Lotfey.

The most aggressive adopters of AI in journalism are not national mastheads. They are hometown papers. A new wave of studies shows just how far this has gone. Graphite reports AI-written articles now outnumber human ones on the web. A study of 1,500 U.S. newspapers estimates roughly 9% of output is AI generated, with local outlets leading the way. One chain, Boone Newsmedia, clocks in at 20.9% of content created partly or entirely by AI. The drivers are obvious: hollowed-out newsrooms, relentless publishing demands, and low-cost tools that can turn a five-hour school board recap into a draft in minutes. But the risk is real. AI errors do more than misinform, they puncture trust. Think of the Chicago Sun-Times’ AI-built summer reading list that recommended books that did not exist. Pete Pachal argues the line between useful assistance and low-value slop comes down to judgment, review, and transparency. He also flags a quieter issue in national outlets, where small amounts of AI text are slipping into opinion pieces from contributors who may not follow house rules. What works for local newsrooms: 🔹 Be clear with readers about where and how AI is used. 🔹 Enforce contributor and staff policies, and equip editors with basic detection tools. 🔹 Treat AI copy as a draft, not a destination, with rigorous fact-checking and removal of “slop indicators” like canned phrasing. The takeaway is not whether AI is used, but whether it is used responsibly. Full analysis here 👇 https://lnkd.in/em8Kdmkr #LocalNews #AI #Journalism

AI can write faster than humans. It can't verify facts or build reputation. Thompson's research reveals journalism's new survival strategy. MIT's Neil Thompson just dropped a reality check about journalism's future. While AI floods the internet with content, quality journalism becomes more valuable. Not less. Here's what's changing: • AI creates noise, not news • Trust becomes the ultimate currency • Verification beats speed • Reputation trumps reach Thompson's insight? AI won't replace journalists who do the hard work of truth-seeking. It will make them more essential. The future belongs to newsrooms that choose integrity over automation. To reporters who fact-check instead of fast-track. In a world of AI-generated content, audiences will pay premium for one thing: Trust. What does this mean for your industry? When AI can do the easy tasks, human expertise in the complex ones becomes irreplaceable. How are you positioning yourself as the trusted voice in your field? #JournalismAI #TrustInMedia #FutureOfWork 𝐒𝐨𝐮𝐫𝐜𝐞: https://lnkd.in/g7pvwkvj