Understanding the why: evaluation

I’ve spent a lot of time studying how readers engage with news content, not just as consumers but as participants in a broader cultural ecosystem. In earlier decades, a newspaper or broadcast station was more than a source of information. It was part of daily life that blended local and national updates, insights, and experiences that helped people feel connected. People didn’t just pay for access to facts. They invested in a shared identity that reflected their values, routines, and sense of belonging. That relationship between value and identity continues to shape the future of media and its products. What excites me most is how the media’s current focus on product development gives us the freedom to create new models that honor both the integrity of journalism as a public good and the creativity to build products that people invest in.

To get this right, media leaders need to step back to view content through the lens of “product.” Product thinking brings clarity, focus, and a more objective sense of value. We’re in a hyper-digital consumer era, where every choice, every interaction, and every piece of content lives within an ecosystem of constant evaluation. Certain social and economic forces still support journalism as a public good grounded in truth and trust; However, there’s a growing expectation of transactional value. Audiences assess everything from experience to convenience to relevance. That makes the creation of media as a product both a significant challenge – and opportunity.

Testing assumptions: validation

Media teams now apply a product mindset to evaluate goals with intention and clarity. The process asks clear, purposeful questions:

• Is there a real problem or opportunity, and can it be defined?
• What is the hypothesis, and how does it align with the organization’s main mission or north star?
• What does the current environment reveal, and where might there be room for adaptation or improvement?
• How can the idea be tested quickly to bring sharper insight and direction?
• What would success look like, and why?
• What milestones matter most along the way?

From there, the focus turns to research and practicality.

• Does a market already exist for something similar?
• What resources would the concept require, and what is the expected return on investment?

This dynamic reveals something timeless about market fit and audience need. At its height, news media succeeded because it offered both utility and identity, a practical product built on trust and relevance. As the industry rebuilds, we’re returning to those roots with a modern sensibility. We rediscover how journalism can serve as a true resource in people’s lives. It reflects renewal, not nostalgia. 

This is the time to test as many assumptions as possible, measure real behavior, and make informed adjustments that strengthen product-market fit. Propensity modeling plays a big part here because it helps identify early signals of interest and likelihood of engagement. By studying data patterns and connecting intent to action, organizations understand not only what audiences say they want but what they actually do.

What matters most is that validation gives you proof, not just possibility. It’s how we separate assumptions from evidence and shape news and media experiences that reflect the true behavior and expectations of the people we serve. When done well, it transforms journalism into a living resource that meets audiences where they are while guiding them toward what they need next.

Building for people: amplification

Every interaction, whether through newsletters, video engagement or social participation, offers clues about how people move through the experience. Those insights allow teams to refine quickly and stay adaptive to the needs of the moment. Authenticity remains the constant thread, especially as visual and social storytelling become even more influential. Video, personality, and voice all shape how audiences connect and return.

This process helps organizations build experiences that feel personal, intuitive, and essential. Every insight becomes a chance to fine-tune the relationship between audience behavior, editorial vision, and product design. It reinforces that product work is more than features or clicks. It’s about designing systems that anticipate needs, remove friction, and deepen value with every interaction.

This is why propensity modeling matters. It offers one of the most practical ways to understand how people connect with content and how their actions reveal what truly matters to them. Propensity modeling uses patterns in data to identify the likelihood that someone will take an action, such as subscribing, donating, or returning to engage again. It helps teams recognize not just what people do, but why they do it.

A product-centric approach guides media innovation

When combined with thoughtful product development, propensity modeling can transform how media organizations serve their audiences. It shows how often people engage, what keeps them returning, and what causes them to drift. With that understanding, teams create user journeys that feel natural and affirming, inviting people deeper into the ecosystem.

This approach builds an ongoing feedback loop. Each iteration becomes a chance to learn more, improve relevance and strengthen the experience in meaningful ways. It’s not about volume; it’s about resonance. By pairing data with empathy, organizations design products that feel human, responsive and alive. That’s the kind of innovation that keeps journalism connected to the people it exists to serve.

The post The next media revolution isn’t editorial. It’s product. appeared first on Digital Content Next.

How we deliver news can play a crucial role in why audiences return. Live, interactive news formats are more than a content style. They are also a tool for rebuilding trust, deepening engagement, and strengthening the bottom line.

Trust is fragile, but fixable

This year’s report confirms an ongoing crisis of trust in news. Yet it also offers a glimmer of hope. Encouragingly, 38% of people say they turn to trusted news outlets first, while only 14% go to social media. This reinforces what we’ve long believed: audiences want credible information, but they want it delivered in a way that fits the fast-paced, mobile-first world they live in.

Live blogs and real-time updates play a crucial role here. By showing how information is gathered, when it’s updated, and who is reporting it, live coverage inherently encourages transparency. It’s a format that invites accountability and provides a natural space for in-context fact-checking, source attribution, and even conflict-of-interest disclosures.

Süddeutsche Zeitung saw seven out of its 10 most-read articles in 2023 come from live blogs. They use the format not just to update but to explain, embedding transparency cues and structured fact-checks within its real-time coverage. FAZ achieved over 8x longer retention rates on live blogs than traditional articles: proof that real-time transparency helps retain trust and attention.

There’s also an untapped opportunity in building meta-coverage—live blogs that relate to the reporting process itself. Who broke the story? How was it verified? What questions are still open? During the 2024 U.S. election, Der Spiegel deployed a collaborative newsroom effort, where 33 journalists contributed to a single live blog. Readers could see not just the unfolding story but the multi-perspective editorial process in action. The approach blends speed, transparency, and team-driven insight in one coherent stream. This kind of behind-the-scenes work can help restore confidence in an age of skepticism.

Instant, micro-content

Another key finding from the Reuters report is the growing demand for shorter, more accessible formats, particularly among younger readers. At a time when many consumers feel overwhelmed by endless scrolling and algorithmic content streams, live blogs offer something different. They offer a coherent, time-stamped narrative that delivers key facts quickly, yet with enough context to foster a deeper understanding.

Unlike social media snippets, live blogs are built around editorial judgement. Unlike long-form articles, they’re agile and responsive. They give audiences real-time coverage of politics, sports, and community events on one coherent platform.

For example, during election nights, we’ve seen publications use live blogs not only to report results but also to explain shifting trends, share expert commentary. They also link to explanatory articles—all within one feed. It’s the ideal format for audiences who want to stay informed without being overloaded. A powerful example comes from Stears in Nigeria, which garnered more than 10 times the traffic on its live blog compared to its standard articles during the 2023 elections.

Interactive news as a differentiator

Today’s audiences don’t just want to consume the news; they want to engage with it. Interactive news is the answer. The Reuters report shows increasing interest in formats that allow for interaction and explanation, especially among younger and more skeptical readers.

Live blogs are ideal for interactive features like reader polls, Q&As with journalists and experts, and moderated comment threads, all embedded directly into the coverage. This turns passive readers into active participants and reinforces the human side of journalism.

This is part of a broader trend. For instance, Stuff in New Zealand regularly engages readers through polls and live Q&As. Its Met Gala coverage received over 1,000 reader responses, while Taylor Swift ticketing coverage triggered more than 400 comments in real-time. These aren’t just passive metrics; they reflect an audience eager to feel part of the conversation.

Sustainability and innovation

For publishers facing revenue pressure, these formats aren’t just good for engagement, they’re good for business. Customizable, brand-integrated live feeds open up new opportunities for native sponsorships, affiliate placements, and reader subscriptions. They also drive reader loyalty through habitual check-ins and notifications.

At regional German paper Westfälische Nachrichten, the paywalled soccer live blog achieved a 7.3% subscriber reach—a particularly strong result that demonstrates how high-value, recurring live formats can support subscription strategies. Whether it’s covering a local election or a global sporting event, live blogs are proving to be not just editorial assets but commercial ones.

A strategic roadmap for newsrooms

If there’s one clear takeaway from the 2025 Reuters report, it’s that format is strategy. As automation and AI transform the backend of journalism, publishers must also reconsider the front-end user experience.

Live blogs offer a versatile way for publishers to respond to today’s challenges. By prioritizing transparency and making editorial processes visible in real-time, they help reinforce trust with audiences who increasingly want to understand where their news comes from. At the same time, features like multi-reporter collaboration, easy formatting, AI-powered tools, and partner integrations make live blogs more efficient for editorial teams, allowing them to focus on what matters most: delivering compelling, real-time storytelling. They also meet the growing demand for bite-sized, easy-to-navigate updates, providing a clear, chronological narrative that cuts through information overload.

Crucially, live blogs also create space for deeper engagement. Whether through interactive Q&As, embedded polls, or moderated comments, they transform readers from passive consumers into active participants. And from a business perspective, they unlock new value through repeat visits, increased dwell time, and formats that are ready for sponsorship or brand integration.

Trust isn’t just built on accuracy; it’s built on experience. Audiences want news they can believe and a format that respects their time, attention, and intelligence. With the right tools, publishers can deliver both. Live, interactive news won’t solve all of the industry’s challenges, but as this year’s Digital News Report makes clear, it’s a critical piece of the puzzle, and one that’s ready to scale.

The post Live, interactive news: real-time trust and real-world impact appeared first on Digital Content Next.

Since Google introduced AI Overviews 14 months ago, the AI-generated summaries have hurt publishers’ bottom lines, scuttled search traffic, and impacted ad revenue and subscriptions. This has resulted “zero-click” searches and a sharp decline in traffic, which some have dubbed “Google Zero”. News searches resulting in no click-throughs to news websites grew from 56% to nearly 69% as of May 2025, according to report from digital market intelligence company Similarweb.

About 40% of The Atlantic’s traffic comes from search, CEO Nicholas Thompson told Azeem Azhar, founder of Exponential View. “We’re seeing a significant decline, maybe a 20% decline,” he said. This translates to an 8% drop in overall website visitors, impacting ad revenue, subscriptions, and brand awareness.

AI Overviews appear in 39% of Google queries, according to Website Planet. An estimated 5.6% of U.S. search traffic on desktop browsers last month went to AI-powered large language models, according to market intelligence firm Datos, The Wall Street Journal reported. And analytics company Authoritas found that a site previously ranked first in a search result lost 79% of its traffic if results were delivered below an AI overview.

Whether publishers like it or not, that traffic isn’t coming back. Google Zero looms large on the horizon. Pew Research found that for searches with AI summaries, Google users clicked on a traditional search result link in only 8% of visits, compared to 15% without AI summaries.

And plenty of publishers aren’t happy about things. A legal complaint was submitted to the UK’s Competition and Markets Authority over the impact of Google AI Overviews on news publishers, arguing that Google is abusing its market dominance by using publisher content in AI-generated responses without fair compensation, while simultaneously reducing traffic to news websites. Additionally, The Independant Publishers Alliance filed an antitrust complaint with the European Commission in June, alleging that Google abuses its market power in online search.

Meanwhile, as publishers adapt to this new reality, DCN spoke to some industry experts to reveal what’s working.

Direct relationships important, valuable

Some publishers aren’t waiting for Google Zero, they’re already building the direct audience relationships and cultivating reader loyalty that will matter even more when search traffic disappears.

Hearst Connecticut Media Group strategically builds direct audience relationships as part of its long-term audience strategy. Their GameTime CT high school sports vertical, which serves high school parents, athletes and coaches, drives subscriptions according to Mandy Hofmockel, managing editor of audience at Hearst Media Connecticut.

“It goes above and beyond game coverage and is a formula for success in serving local audiences,” Hofmockel says. “Our high school sports coverage is evolving to be less about the sport itself and more about athletes, their stories around the game. We are building depth, experiences and connections.”

To deepen engagement, the company launched it’s first texting campaign for UConn basketball during March Madness this year, she says. “That platform allowed that small but engaged pool of UConn fans to message us directly with questions on everything from player injuries to coach strategies, to just like where they could watch the game,” she says.  

Hearst Media Connecticut is also deepening its reporting in key local areas, including weather, education and real estate, even adding a meteorologist to its team and developing weather tools and trackers. Hearst’s hyperlocal approach, covering school closures, local weather patterns, and community-specific issues, provides indispensable information creating direct traffic that survives the death of search.

Being a local publisher provides advantage. “We know what it’s like to live in, go to school in and eat across the state. That’s reflected in our coverage and the key coverage areas for the newsroom,” Hofmockel says. “Our readers don’t hesitate to share us with us what they think of our coverage because they feel that connection to us.” This means when readers need to know what’s really happening in their town or city, they come straight to Hearst instead of searching for answers.

Direct engagement, across multiple platforms

BBC Studios has “embraced all manner of platforms to reach audiences wherever they are, from a thriving BBC News WhatsApp channel to Instagram clubs for our Culture super-fans.” However,  their primary focus on building stronger, direct relationships through product innovation and editorial strategy, says Ben Goldberger, GM and executive director of editorial content. “Central to this is the relaunch of our BBC.com site and app, which offers a premium, more streamlined user experience that encouraged repeat visits and deeper engagement,” Goldberger says.

The company rolled out a new pay model on BBC.com in the US, which Goldberger called an important step in strengthening the connection with their most passionate users. The launch of the new pay model will help them gain greater insight into their audiences’ preferences and behaviors, and to strengthen those connections.

“One constant has been our commitment to our owned-and-operated channels,” he says. “We have seen meaningful success driving engagement on our platforms as we reduce reliance on those of others.”

BBC Studios operates 11 regular newsletters for global audiences, spanning topics from US politics to personal health. Goldberger says the response to these has been incredibly encouraging. “Our newsletters subscribers are deeply engaged with our work, regularly visiting BBC.com from newsletter links and taking the time to send thoughtful, considered feedback,” he says. “Indeed, the outpouring of notes from readers of our In History newsletter led us to create a recurring section featuring reader memories that is among the most popular.”

BBC Studios aren’t just creating an email list, they’re creating a feedback loop where engaged newsletter readers become content contributors and reliable traffic drivers. It’s a two-way relationship that generates both audience loyalty and editorial material. BBC Studios owns every touchpoint in the reader journey, making them insulated from external platform disruptions like Google Zero.

Building stories AI can’t replicate

David Skok built The Logic, a Canadian business publication focused on technology and innovation, as a subscription-first publication from launch in 2019. “Our business model necessitated us having a direct relationship with our readers from the start,” the CEO and editor-in-chief says.

In a recent column about AI’s impact on journalism, Skok delved into the existential question facing publishers as AI upends traditional web discovery. He believes in creating stories that no AI platform can summarize accurately.

“If you’re writing stuff that is yours, exclusively yours, you cannot get anywhere else and isn’t answered in just one pithy response from a chat engine, that’s how you’re going to win,” he continues. “The thing that’s really still going to differentiate you is what stories are you assigning and what stories are your reporters pitching? Are they things that you cannot get anywhere else?”

Beyond content strategy, The Logic is intentional about their audience engagement. “I think intimate events are really working,” Skok explains, describing some of The Logic’s recent events. “We’ll go to a place like Calgary or Vancouver and have 30 people for breakfast and just talk about the issues of the day, bring in one of our columnists, and those kinds of things are extreme value for a smaller group of people. And they feel it.”

The Logic also has a Slack channel for direct engagement with reporters, and hosts virtual events based on breaking news. “We try to make sure that our readers understand that what they’re getting with The Logic subscription is way more than just access to ungated content behind a paywall,” he says.

Beyond the (zero) click

“Publishers will have to shift their expectation expectations from some of the primary referral sources we’ve relied on in the past,” Hofmockel says. “It doesn’t mean we completely give up on search and social. But we have to adjust our strategies and find additional ways to connect with our communities.”

As one publisher noted in the Tow Center’s May 2025 report Journalism Zero: How Platforms and Publishers are Navigating AI, “there’s no way around the platforms” because “the platforms are … where the audiences are.”

As publishers focus on direct relationships, they continue to make sure they’re “maximized for visibility,” on Google because “it’s still an important channel for distributing our work,” Hofmockel from Hearst says. However, it is important to take a strategic, rather than dependant, approach. In other words: never be solely dependent on platforms for your core business model.

Hofmockel believes it’s an opportunity to reevaluate not just audience strategies, but publishers’ content approach. “We can build new, distinctive products (that) are rooted in data, go deep in the categories that matter… and make sure we’re giving readers reasons to come and subscribe. Building around these needs with expert reporting will make us essential with or without platforms,” she says.

Building direct relationships, on whatever platforms you own, whether it’s newsletters, events podcasts, or content verticals, publishers must be conscious and intentional about owning their audiences, according to The Logic’s Skok.

“I think that’s the most important relationship you can have, and it’s the one that will allow you to withstand this change. The thing with a subscription business, like a paywall business like we have is, it’s so much harder to build it up. It’s slower, it’s more methodical. There’s no quick hack, growth hack to make it happen. But once you’ve built it up, it’s really hard to tear it down because these readers are invested in your success.”

As AI reshapes digital discovery, publishers who cultivate direct, meaningful relationships with engaged audiences, position themselves to survive and thrive in the post-Google Zero landscape.

The post Direct audience engagement is key to surviving Google Zero appeared first on Digital Content Next.

I’m sure I’m not alone in turning to television, film and books to articulate the ways in which AI may play out in our industry. In this case, my mind goes straight to Star Trek. Data and the Borg offer two starkly different visions of what AI can become. The character Data was built to learn from and with humans. Data is curious and evolving, committed to understanding and serving the people around him. The Borg, on the other hand, are designed to assimilate. Their goal is not growth through understanding but domination through absorption. One AI is shaped around growth and human relationships. The other is built for control.

It is my belief that AI  – developed with purpose – can enhance human understanding, much like Star Trek’s beloved Data. At the other extreme, it will indiscriminately devour information, similar to the formidable antagonist Borg. It would yield results that erase our humanity, putting technology and efficiency above helping communities better engage with news media and understand the world around us.

AI design for good news

Audiences now expect access to large volumes of data and information delivered at high speed. What they’re looking for now is clarity and understanding to make sense of what they’re reading and seeing and how it connects to everyday life. Whether it’s a school policy or a change to housing codes, people are beginning to rely more on AI-synthesized insight and summaries pulled from whatever is most available, statistically frequent, and easy to read. That doesn’t always guarantee the information is complete, useful, or meaningful. And over time, these easy (often incomplete) answers shape how people view institutions, public decisions, causes, beliefs and even journalism.

When developers design AI tools to support clarity and accuracy, journalists can focus on the parts of their work that deepen understanding. They can focus on the work of the journalist: asking thoughtful questions rooted in real life, connecting facts in meaningful ways, and highlighting stories that help people see why something happened and what it means next. With the right tools, they amplify voices that often go unheard, raise questions absent from the record, and draw a clear throughline between past events and current developments—showing how decisions take shape, how systems evolve, and how stories gain meaning over time.

AI, much like the character Data, possesses a remarkable ability to process vast quantities of information with incredible speed. AI tools can deliver a clarity that propels opportunities for thought and innovation to move forward. We’re already seeing this in newsrooms today. AI can effortlessly summarize dense material, identify patterns that might otherwise go unnoticed in large datasets, and eliminate some of those tedious manual steps that often slow us down, like transcribing interviews or sifting through public records. This gives journalists more opportunity to delve deeper into their work and operate with heightened focus. Intentional AI design is truly about augmentation, providing a powerful partner rather than a replacement for human ingenuity.

Developing AI tools that serve the audience

Pew Research finds that people continue to view local journalism as absolutely essential. Audiences place their trust in local reporters to deliver accurate information. Many media organizations aim to reduce the workload for (or even the need for) journalists. However, some are beginning to build agentic AI that directly serves audiences. The prospect of creating tools that empower individuals to make everyday decisions with confidence is exciting. It directly builds on that trust. 

These tools don’t need to be all-encompassing. They simply have to be useful and intuitively reflect the ways people already seek out information. By design, these AI tools would deliver task-oriented insights, much like explanatory journalism, but do so in an interactive and personalized way.

For instance, newsrooms are already experimenting with tools that help residents visualize how a proposed school budget might impact classroom sizes at the schools closest to them or how a specific zoning decision could influence traffic and housing prices in their very own neighborhood. Another tool might, for example, transform a public health message into something clear and easily understandable. Even better, it might adapt to how an individual comprehends language or processes information.

Wise AI tool design

On the contrary, we must think carefully about how we use AI tools. If we apply them solely to speed up output or increase volume, we risk reinforcing the same pressures that have already strained the industry—pressures that replace depth with summaries and bury real insight in the shuffle. When systems treat all inputs the same, they strip away context and diminish quality.

The value of journalism comes from knowing what questions to ask and why the story matters. AI might spot a spike in illness at a local hospital. However, if a reporter doesn’t dig into who is affected, why it’s happening, and what it means for the community, the human story—and its impact—won’t come through. AI tools can support better access and make the work more efficient. But their impact depends on how they’re guided and who is behind the questions.

We’ve seen before how technology built for efficiency can still deepen harm when no one questions its impact. The cotton gin made cotton production faster, but it also fueled the expansion of slavery across the South. That outcome wasn’t baked into the machine, it emerged through systems that used speed and scale without regard for justice.

Similarly, today’s AI tools generate articles, prioritize content, and process vast datasets in ways that appear productive on the surface. But without human judgment, AI tools fail to explain why something matters, who is being left out, or what risks might follow. The strength of journalism isn’t in speed or volume. It’s in knowing which questions to ask, what stories need depth, and how to connect the facts to people’s lives.

AI is a powerful accelerant for journalism, not a replacement for the invaluable human element. As of today, It excels at streamlining certain tasks, which can allow journalists to dedicate more time to the core of the profession. This has and will remain human-centered storytelling, nuanced interpretation, and the exercise of sound editorial judgment. AI can efficiently surface the foundational “who, what, when, and where.” However, it is the unique human capacity for critical inquiry, lived understanding, and ethical reasoning that uncovers the “how” and “why,” transforming mere facts into meaningful narratives. 

The future of journalism hinges on intentionally integrating human ingenuity with technological tools. We can leverage AI for efficiency while unequivocally prioritizing human traits like interpretation, accountability, and narrative depth. These qualities remain paramount in helping audiences not just receive information, but truly comprehend its significance.

The post Putting AI to work for news audiences by design appeared first on Digital Content Next.

Here are some impressive experiments and innovations in the podcast space:

AI translations

UK news publisher The Telegraph has been producing a podcast called Ukraine: The Latest daily since the start of the war. It has been downloaded over 100 million times since 2022, with episodes exploring military strategy, history, weaponry, economics, and more. 

In February, to coincide with the third anniversary of the war in Ukraine, The Telegraph launched translated versions of the podcast in Ukrainian and Russian. This was made possible using an AI-powered voice cloning and translation model. This creates a “digital likeness” of the presenters, closely mimicking the rhythm and nuance of their voices.

“To be clear, this is AI helping to present our journalism, not produce it,” said Associate Editor and presenter Dominic Nicholls in an introductory video demonstrating the technology. The translations help reach those with restricted access to news on the war, as well as expats around the world.

The AI model was adapted by The Telegraph team in-house, before being refined by a native Ukrainian speaker fluent in Russian and English. The Telegraph emphasises that all episodes will be checked to ensure translation accuracy, as well as fine-tune speed and pacing.

Although there have been experiments with AI hosts and translation, this is the first example of a media company deploying it on this scale. For a daily podcast, especially one where the information need is so critical, this is a worthwhile investment that will help it reach the people it needs to.

High quality AI translations like this will be beyond the budgets of many publishers. But as the translational tools improve and become more accessible, using AI translation to reach new audiences is worth considering. Editorial oversight, however, is vital to maintain trust and quality.

Bundled podcast subscriptions

Publishers have been experimenting with paid podcasts for some time now, as paywalling technology has improved. From The Economist putting almost all its podcasts behind a paywall, to The Local offering premium versions of its free weekly podcast for members, there are many variations of paid audio strategies.

One that stood out was the DMG Media’s launch of The Crime Desk. The publisher had seen success with true crime podcasts like The Trial of Lucy Letby. Now, it has brought all podcasts under ‘The Trial’ brand into one subscription bundle.

The Crime Desk offers subscribers ad-free bonus episodes on global trial cases. It also includes access to the archive of more than 200 episodes covering everything from the Holly Willoughby kidnap plot to the Diddy trial. Subscribers will also get new series released in their entirety. However, free listeners will only be able to access one episode a week. The launch offer is £1.99 a month, or £19.99 annually.

“There will always be a free trial to air – we’ve got to have a shop window. It’s arguably a public service as well,” the Daily Mail’s head of podcasts Jamie East told Press Gazette. A soft launch phase “had seen subscriptions well into the thousands, and at a similar conversion rate to the podcast industry standard of 5%.”

Building a paid bundle around groups of podcast topics is viable for publishers that produce a wide range of podcasts or with strengths in specific subject areas.  However, East noted that although they’ve had success elsewhere, that doesn’t necessarily mean a paywall is viable. “You can only really launch a subscription model around a hit. There’s no point otherwise,” he told Press Gazette. “It needs to be pretty bedded in before you can do it, or achieve such huge scale that it’s a no-brainer. We’ve not quite reached that with any of the other verticals.”

Reusing popular print content

One unusual podcast launched last year is Your History, from The Times. The newspaper has published daily obituaries for over a century, many of famous people. The team realized that there was an opportunity to highlight some of the Times’ best writing, which happens here, as well as capitalize on audience curiosity in historical figures.

The twice-weekly podcast brings out”‘remarkable tales of lives well lived,” from musicians to politicians, scientists, and sporting legends across episodes averaging 10-15 minutes. Anna Temkin, deputy obituaries editor, presents the podcast.

This is an excellent example of taking existing content and transforming it into another medium. The obituaries pages of newspapers contain a wealth of fascinating life stories, especially when someone well-known dies. By simply reading out the obituary – a low tech and low cost solution – The Times makes this content accessible and relevant to a new audience who aren’t necessarily newspaper subscribers.

Podcasting has room for innovation

Reader revenue is an important strand for each of these publications. The Telegraph and The Times both have hard paywalls, and use podcasts as a top-of-funnel strategy to introduce listeners to their journalism. In these cases, applying strategies that help widen listenership through translation or opening up paywalled content is key.

Although the Daily Mail has some paywalled content, the majority is accessible to read for free. This allows the podcasts to build up a large audience.In this case, The Daily Mail has created a paid bundle around popular shows to monetize a smaller but more dedicated fan base.

The extent to which other publishers can use these tactics will depend on where podcasts sit strategically. If they’re a “shop window” to showcase journalism, it is worth exploring options to leverage podcasts to expand audiences. However, podcasts also have great power as a retention tool superserving a publisher’s most loyal readers. With continued experimentation and innovation, podcasts offer the potential to grow audiences and support, or even build, direct revenue. That’s not hype; that’s just smart strategy. 

The post 3 podcast innovations that build audience and revenue appeared first on Digital Content Next.

These moves are driven by a combination of factors such as fear of missing out and falling behind as Generative AI continues to evolve. Companies also want to have the ability to use these technologies for a range of benefits including efficiencies and the development of new products. 

The opening months of 2025 have witnessed the continued integration of AI into workflows and further developments that promise to yield a range of benefits for content creators. 

Here are four noteworthy AI trends and how media executives should be thinking about the emerging opportunities they present. 

1. Conversational AI enhances connections

Both audio and text-based conversational AI are gaining traction. According to the Reuters Institute, harnessing AI to turn text into audio is the top audience-facing AI application for media leaders in the year ahead. These moves are driven by “advances in voice technologies [that] have made it possible to transform text articles into audio (in multiple languages or tones).” 

Moreover, as noted by ElevenLabs, an AI Audio research and deployment company that works with publishers such as Time, “the shift to AI-driven audio isn’t just about convenience — it’s about survival in a landscape where audiences increasingly prefer to listen rather than read.” (NB: their italics.)  This trend is evidenced at outlets such as The Washington Post which saw daily audio listens double in the first six months of last year. 

And as these AI tools get cheaper, more accessible, and sound increasingly more human, AI-powered consumer experiences will become more mainstream across the media landscape. That includes local – as well as national and international – media outlets. 

Alongside these audio formats, AI-driven chatbots are also becoming more prominent. 

Although there are legitimate concerns about the accuracy of news summaries provided by these tools, the way in which they access content from sites that have blocked their crawlers, coupled with a frequent inability to cite sources or provide referral traffic, these products are becoming more prevalent. This week, for example, saw The Straits Times in Singapore launch a chatbot that answers questions from readers on career-related topics, drawing on an archive of 5,000 stories published on this topic since 2020. 

Sensing the opportunity, businesses like Tars offer a chatbot specifically designed for news organizations. Its functionality allows audiences to interact with news stories in a conversational format, ask follow-up questions, rate articles, and access related visual content.

Meanwhile, several major media providers have signed deals to provide content for AI chatbots owned by some of Silicon Valley’s biggest players. Late last year, Meta revealed it would use content from Reuters to answer user questions in its chatbot about the news and current events. More recently, AP inked a similar deal with Google, which will see news from the Associated Press featured in the tech company’s Gemini app. 

Takeaway

As user needs and preferences continue to evolve, media companies must respond accordingly. Delivery of content via voice and chatbots, may become more mainstream, given the growing demand for more informal and conversational interactions with content. Catering for these audiences will become further engrained in media distribution strategies.  

2. The return of content at scale

AI-assisted content creation is not a new phenomenon. However, it is creating an opportunity for some media outlets to turn back the clock to the era when scale was seen as king.

Patch, the local news provider that was acquired by AOL in 2009 (and offloaded in 2014) has used AI newsletters to expand Patch’s reach over the past few months from 1,100 U.S. communities to 30,000. As Axios explains, these newsletters feature five stories from Patch sites along with material aggregated from other online sources. 

Despite its use of AI to scale, Patch purportedly has 85 full time newsroom employees. However, Nieman Lab reported in January how a company producing AI-generated newsletters in 47 states and 355 towns and cities across the U.S. appeared to be operated by a single person. 

These examples demonstrate the ease with which AI can help curate content at scale. 

Although these efforts can curate content to consolidate coverage, they don’t deliver original journalism. Moreover, it can be difficult to check the veracity and accuracy of content produced at this volume. 

Questions around accuracy and the absence of fresh reporting were similarly leveled at the Italian conservative newspaper Il Foglio, which recently published a four-page edition produced entirely by AI. “The articles were structured, straightforward and clear, with no obvious grammatical errors,” the Guardian notes. “However, none of the articles published in the news pages directly quote any human beings.”

These examples may make some media leaders, and audiences, uncomfortable. Nevertheless, they can be viewed as an extension of some of the ways AI technologies are already being used. 

AP has been using AI to produce stories based on earning reports for over a decade, dramatically increasing the number of stories it produces in this arena as a result. At the same time, Gannett publications in the Boston area have begun harnessing a generative AI tool called Espresso to draft articles from community announcements and press releases. 

Similarly, Semafor has revealed how The New York Times is exploring using AI tools to assist with SEO, research, headline writing, content for social media and other purposes. This can speed up the production process, potentially creating time for employees to produce more in-depth and creative content, as well as increasing the volume of output. 

Takeaway

The use of AI to automate routine tasks has long been cited as a benefit of these tools. Advocates argue AI will enable staff to focus on original and deeper work. However, there is a risk that these technologies will have the opposite effect, encouraging creators to publish more content, much of it low quality “AI slop.” The need for originality and distinctiveness will be the differentiator for most players in an AI-driven world. While some providers can use AI to scale their output, doing so while maintaining quality, distinctiveness and value isn’t always easy or an approach that will work for everyone.  

3. Beyond efficiency: AI as a tool for accessibility

Discussions around AI often focus on efficiencies, the ability to streamline workflows, or harness these tools to create new products. This can certainly be true. Last month, political news outlet Politico launched their Policy Intelligence Assistant — a new AI-powered tool enabling Politico Pro subscribers to generate in-depth policy reports using the company’s proprietary reporting and analysis.

However, at the same time, AI can also be used to ensure that content is able to reach wider, more diverse, audiences. 

Publishers are already using AI to help with translation. But the benefits can go well beyond that. Speech-to-Text tools can generate captions for live broadcasts, webinars, and events, making the information more accessible. Similarly, these technologies – augmented by human input – can aid with audio description, the creation of ALT text, and personalization. This can represent a business opportunity that expands reach and potentially fosters greater audience loyalty.

In Austria, the APA (Austria Press Agency) is developing an AI tool to generate alternative text for infographics. The goal is to help visually impaired users better access data-driven journalism.

Chitranshu Tewari, the Director of Product and Revenue at Newslaundry in India, argues that “AI-driven accessibility isn’t only better product design but also good business.” Reflecting on their own experiences, he comments that  “our accessibility efforts didn’t just make our platform more inclusive — they also attracted new paying subscribers.”

Takeaway

AI can do more than help media companies tick compliance boxes. By making content more user-friendly there are opportunities to better serve all audiences, especially those that have historically been underserved or overlooked. AI can help to embed inclusive design principles, while at the same time making access to your products more equitable and valuable. 

4. Trust and transparency in media’s AI age

As AI becomes more deeply integrated into content production and consumption, media leaders must continue to understand – and address – attitudes towards these technologies among consumers. 

Research demonstrates that public sentiment towards AI in the production of content, such as journalism, varies widely. “On the whole, people are generally positive about journalists’ ability to use technology for professional purposes,” says the Center for News, Technology & Innovation. Nevertheless, attitudes are often shaped by users’ personal experiences and knowledge of these technologies.

This divergence in public opinion reaffirms the need for transparency about the usage of AI technologies. That can be particularly true in the creation of news content. 

Takeaway

In an age of low levels of trust in mainstream media, disclosure and the presence of clear – publicly available –  guidelines around how AI is being deployed, is important. Media companies should be upfront about when and how AI is involved in content creation, as well as the potential limitations inherent within these technologies. For example, do audiences understand how answers generated by your AI chatbot are produced? If they don’t, arguably they should.

Putting the AI pieces together 

AI is already a transformative force that is reshaping the media industry. It is redefining workflows, as well as how content is produced, distributed, and consumed. 

As we’ve seen, some of the trends in this space have only accelerated in the first part of 2025, although they are often underpinned by core principles which have always made good, strategic, sense. These changes touch on the core of what great content looks like: how those stories are made, where – and how – they are consumed, and what trust looks like in an increasingly AI-driven world.

Chief among these, media companies must continue to meet audiences where they are. In 2025, this is increasingly in conversational online environments. Whether it is via voice or chat, AI can be used to create experiences that feel more informal, responsive, and interactive. 

At the same time, even though AI enables publishers to automate routine tasks, freeing up some staff time in the process, outlets should avoid the temptation to flood platforms with more material. In an era of abundance, content isn’t a numbers game. Originality and distinctiveness will determine which providers survive and thrive. 

AI’s role in the origination of creative work also needs to be effectively communicated. Audiences want, and deserve, transparency, ethical clarity, and the knowledge that there is still human and editorial oversight of the content they consume.

And lastly, in doing all of this, it is incumbent on media players to integrate inclusive design into everything they do. This approach isn’t just important from an ethical or compliance standpoint, it can also be commercially beneficial, with AI potentially making this easier to do than ever before.

The strategic use of AI tools and technologies offers media companies considerable opportunities, but leaders also have to recognize that there are also inherent risks too. This includes resisting the urge to use AI simply to do more. Rather, the focus for folks in the C-Suite must be to do better: creating enhanced opportunities for engagement and doing so in a way that is transparent and where accuracy and quality remain paramount. 

The next chapter of AI in the media business is being written now. It’s up to all of us to ensure it’s one worth consuming.

The post Four AI trends and why they matter to media businesses appeared first on Digital Content Next.

How is AI accelerating this transformation? It’s helping underrepresented sports and athlete-creators identify and capture new fans, super fans, and monetization opportunities. With smarter data analysis and faster content distribution, sports once considered “niche” have a chance to grow their media audiences and revenues in many ways.

How AI Is expanding the reach of sports

AI is widely used in sports media but it’s not just for the majors. AI presents opportunities for targeted streamers and independent creators. Here’s how leaders are using it to grow:

1. Identify and engage new fanbases

AI is helping sports organizations analyze viewership patterns, social media engagement, and fan demographics to uncover potential new audiences. By leveraging machine learning, teams and leagues can:

• Identify super fans: Find those most engaged and willing to spend on tickets, merchandise, and streaming subscriptions.
• Uncover new fan segments: AI can pinpoint audiences with similar behaviors and interests, even if they haven’t engaged with the sport yet.
• Optimize monetization strategies: AI-driven insights help organizations determine the best ways to engage and convert fans through advertising, merchandise, and licensing opportunities.

2. Speed up content distribution

The way fans – particularly Gen Z fans – consume sports content has changed. Short-form videos, highlights, and real-time updates dominate engagement, and AI is making it easier to deliver this content faster than ever. AI-powered tools now handle:

• Video ingestion and indexing: AI quickly processes and categorizes game footage for highlights.
• Automated captioning and headlines: AI helps create more engaging, searchable content.
• Smart clip generation: AI identifies the best in-game moments and instantly produces highlight reels.

This reduces production time and costs, allowing sports organizations to share media with fans faster and at scale.

3. Break language barriers and expanding globally

AI-powered translation tools are making sports media more accessible and global. Now, leagues and teams can automatically translate commentary, subtitles, and captions into multiple languages, opening doors to international markets and audiences.

• More inclusive media: AI-driven translations provide accessibility for fans who speak different languages or have hearing impairments.
• Stronger international engagement: With real-time translations, sports can reach new audiences without the need for costly localization efforts.

Athlete-creators: the new hybrid skill set

From NIL-driven revenue opportunities to the dominance of the Paul brothers, athlete-creators are increasingly leveraging AI. Are we looking at a future of sports in which the highest-performing athletes are not the best-known athlete-creators and vice versa? Yes, it may be challenging for some athletes without the resources or a team of assistants to fully realize their earning potential. However, AI may help level the playing field for athlete-creators. Here are some ways athlete-creators are using AI:​

• Content creation and editing: AI tools can simplify design and enable quick creation of engaging content without professional design expertise.
• Social media engagement: AI analysis of social media trends and audience preferences can be used for targeted creation strategies.
• Streamlining distribution: Automation of delivery can make it easier for athletes to focus on training and performance while staying engaged with fans and optimizing revenue opportunities. ​

Ascendant sports: the next stage of AI-driven growth potential 

For an underrepresented sport looking for media expansion potential, new AI tools can help with assessing and answering some key questions:

• Does it have a strong but underserved fanbase? If finding free, high-quality broadcasts is a challenge, it’s now much easier to explore serving a fanbase via free streaming options, from FAST to YouTube to other live social short-form distribution outlets. 
• Does it need better production and distribution? AI-enhanced production – from graphics to real-time statistical analysis – can help sports that have previously not been considered TV-friendly, making them more exciting to watch and easier to follow on digital platforms.
• Are there marketers looking to align with its fanbase? Using AI-enabled analysis of data, it’s easier to identify cost-effective and targeted opportunities to connect with sports fans. 

With the right application of AI and streaming strategies, ascendant sports can dramatically expand their audience and become stronger players in the sports content ecosystem.

The future: AI will define the next era of sports growth

The sports industry is at an inflection point. The traditional “big vs. small” sports hierarchy is being disrupted by technology, streaming, and AI-driven content strategies. Many sports, regardless of their historical followings, now have the opportunity to thrive and expand their reach.

The post How AI is changing the game for “niche” sports streaming appeared first on Digital Content Next.

Unsurprisingly and unabashedly, tech companies advocate that the U.S. government allow their content-generating AI models to train on copyrighted material without consent or compensation. However, as DCN noted in our comments regarding the action plan, a key component to achieving the stated goal of enhancing America’s AI dominance – and the broader success of American businesses – is the robust protection and enforcement of U.S. intellectual property law including the Copyright Act.

Copyright protection makes legal, and financial, sense

The longstanding legal rights for copyright holders are derived from the U.S. Constitution (Article I, section 8, clause 8), which affords them the opportunity to monetize the results of their hard work and investment in a variety of ways and incentivizes them to reinvest in the creation of additional content and new innovative delivery mechanisms to potential consumers. As a result of these longstanding rights, American content creators, including news organizations and other publishers, are able to contribute significantly to U.S. economic growth, including through employment, exports and important trade surplus, and digital services and goods. 

According to a recent study, copyright-based industries accounted for 12.31% of the U.S. economy and 63.13% of the U.S. digital economy. From 2020 to 2023, these industries outpaced U.S. economic growth almost threefold. In the digital sector alone, copyright-based industries employ 56.6% of all employees in the digital sector. The annual compensation paid to core copyright workers is approximately 50% higher than the average U.S. annual wage. As for the global impact, the sales of select U.S. copyrighted products in overseas markets amounted to $272.6 billion, which exceeded the sales of other IP industries including pharmaceuticals, agriculture, and aerospace.

Copyright, competition and a fair market

Unfortunately, the manner in which many AI developers have exploited original content without consent or compensation – to build and operationalize their commercial products – has unjustifiably violated the rights of copyright holders. It has upended the existing balance which has historically sustained and promoted innovation.

AI developers use copyright protected content not only to “teach” their models to predict and mimic language skills, but also as a means to create compelling outputs which have the compounding harm of substituting for the original works on which the models were trained. This activity unfairly competes with those who invested in the creation of the original material and undermines their ability to seek a fair economic return. In fact, U.S. Senior District Judge Beryl Howell noted earlier this week in a copyright case attempting to argue fair use that the publisher’s content is “so valuable they put a copyright on it.” Exactly.

By “reaping that which they do not sow” AI companies cause harm to creators, publishers and the ecosystem as a whole. It is important that this form of destructive misappropriation be deterred, whether by copyright law or other appropriate means. In the U.S, there are 39 related lawsuits and counting. The outcome of these suits will provide much-needed clarity regarding the application of existing copyright law, including the fact-specific defense of fair use, to the infringement of the rights of copyright holders to develop generative AI technology.

However, one U.S. District Court recently confirmed that licensing is required for the use of copyrighted content to train an AI system. In Thomson Reuters Enter. Ctr. GmBH v. Ross Intel. Inc., the court, applying clear and recent precedent from the U.S. Supreme Court, held that the defendant’s unauthorized use of the plaintiff’s works to train the defendant’s AI system was direct infringement and did not constitute fair use. The Court reaffirmed that the impact of the use on existing and potential markets is the single most important element of a fair use analysis, and that there was clearly a potential market to use the materials at issue in the case to train AI. 

Innovation flourishes within the copyright framework

Lest the VC crowd be dismayed, a licensing framework is emerging as many deals have been struck by publishers, record labels, motion picture industries, and others. OpenAI, Google, and Perplexity have all made efforts to pay for the right to use protected content to power their models and tools. This is a clear acknowledgment that this model is not only necessary, but eminently feasible.

While publishers’ rights are coming into clearer focus in the U.S., AI companies are  beginning to feel a shared pain as evidenced recently by DeepSeek’s R1 model. OpenAI accused the company of IP theft, claiming that DeepSeek may have used OpenAI’s IP and violated its terms of service to develop its AI model. 

“We know PRC (China) based companies – and others – are constantly trying to distill the models of leading US AI companies,” OpenAI said in a statement to Bloomberg. “As the leading builder of AI, we engage in countermeasures to protect our IP, including a careful process for which frontier capabilities to include in released models, and believe as we go forward that it is critically important that we are working closely with the US government to best protect the most capable models from efforts by adversaries and competitors to take US technology.”

A rising tide can lift all boats. Only maintaining existing copyright protections will lead to a robust, free market where creators are incentivized to make high quality works and AI companies are incentivized to license them. Importantly, in this robust market, AI companies would continue to have access to quality content which is critical for training and outputs. The American values of IP protection have been a cornerstone in our country’s innovative spirit and competitive edge over foreign adversaries. Protecting IP is a matter of preserving the core principles that distinguish American businesses in the global market. For the history of the U.S., copyright and innovation have gone hand in hand and there is no reason to deviate from that successful combination as we build the next chapter.

Read DCN’s Comments on the AI Action Plan, which were filed with the Office of Science and Technology Policy on March 15, 2025

The post Copyright and AI: a win win appeared first on Digital Content Next.

A lack of transparency around AI fuels distrust

Mike Ananny and Jake Karr examine how news media unions are trying to manage and stabilize the use of Generative AI. Their analysis, How Media Unions Stabilize Technological Hype, draws from a review of industry reports, expert interviews, and case studies of newsrooms integrating generative AI. The methodology emphasizes qualitative insights to understand AI’s impact on editorial processes, ethics, and audience trust.

According to the authors’ analysis, many employees only learn about AI licensing deals through sudden announcements, often without prior consultation. Some must rely on external reporting to understand their company’s AI initiatives. Union representatives consistently face resistance when requesting information, reinforcing a broader mistrust of employer intentions.

However, solutions are emerging. Some unions are pushing for contractual guarantees to ensure greater transparency. The Associated Press and certain Gannett-owned publications propose contract language requiring 90 days’ notice before implementing new AI-related newsroom technology. Similarly, The Onion and Wirecutter unions successfully bargain for advance notice and transparency requirements regarding AI procurement. These efforts signal a path to restoring trust through openness and accountability.

Journalists defend creativity and quality

News professionals ensure accuracy, provide context, and uphold ethical standards that AI alone cannot fulfill. Ananny and Karr conclude that AI’s so-called “creativity” is a remix of existing human work, lacking the depth, insight, and contextual awareness that define quality journalism. No matter how advanced AI becomes, skilled journalists must verify facts, interpret events, and shape narratives with integrity.

Recognizing this, some media organizations are implementing safeguards. The Associated Press is committing to using Gen AI only with direct human oversight to maintain compliance with journalistic standards. Another example includes editorial employees reviewing AI content before publication at The Onion, The A.V. Club, Deadspin, and The Takeout. And the MinnPost treats AI-generated material as a source requiring human editing and fact-checking.

But beyond oversight, journalists are pushing for the right to decide whether or not to use AI. Many unions argue that workers, as experts in their field, should determine the appropriate role of AI in journalism. The CNET Media Workers Union demands the right to opt out of using AI if it fails to meet publishing standards. The Atlantic Union similarly insists that journalists may use AI within ethical guidelines, but no one should force them to do so.

These demands reflect a broader principle: journalism is, at its core, a human-driven endeavor. AI may assist but cannot replace the judgment, creativity, and accountability that define quality reporting. The analysis concludes that to integrate AI responsibly, newsrooms must prioritize transparency, trust, and human journalists’ role in safeguarding the profession’s integrity.

Ethical and legal ramifications of AI in journalism

Beyond transparency and journalistic integrity, the rise of Gen AI raises significant ethical and legal questions. One of the most pressing concerns is intellectual property: Who owns the content produced by AI models trained on vast amounts of copyrighted material? Many publishers argue that AI-generated work lacks originality and merely regurgitates existing human-created content. This also raises potential plagiarism and copyright infringement issues. In response, some media companies are taking legal action.

Additionally, there is concern about AI’s ability to spread misinformation. Unlike human journalists, AI lacks the critical thinking skills to discern fact from fiction. Without rigorous oversight, AI-generated content can amplify biases, fabricate sources, and misinterpret data, posing a direct threat to public trust in news media.

Regulatory bodies are beginning to take notice. Governments worldwide are considering policies to ensure AI transparency and ethical implementation in journalism. For example, the European Union’s AI Act includes provisions requiring companies to disclose AI-generated content and implement safeguards against misinformation. The Federal Trade Commission warns companies against deceptive AI practices, signaling potential regulatory intervention in the media industry.

Balancing innovation and integrity for journalism and AI

Despite the challenges, AI’s presence in newsrooms is likely to grow. Some publishers are taking a proactive approach by developing AI policies that prioritize ethical considerations. Reuters, for example, offers internal guidelines to ensure journalists use AI tools responsibly and transparently. The BBC is similarly on board to maintain human oversight over AI-generated content and clearly labeling AI-assisted reporting.

Ultimately, the future of AI in journalism will depend on striking the right balance between technological innovation and journalistic integrity. The authors concur that if publishers prioritize transparency, enforce accountability, and uphold journalists’ fundamental role, AI can be a valuable tool rather than a disruptive force.

The post Journalists confront the reality of media use of AI appeared first on Digital Content Next.

Live blogs are emerging as one such alternative for transparent journalism, offering fact-checked, real-time updates in an engaging format. Used by leading publishers like Der Spiegel in Germany and The Guardian in the UK, live blogs combine bite-size news, micro-videos, and interactive elements, giving journalists a powerful tool to engage their audiences while maintaining credibility.

A sustainable path for journalism

Half of U.S. adults get news from social media platforms like Facebook, X and TikTok, unfortunately that has only contributed to their declining trust in traditional media outlets. And the proliferation of fake news on social media demands new channels that provide information just as quickly and personally—while ensuring factual accuracy.

Live blogs strike a crucial balance between speed and accuracy, ensuring that audiences receive up-to-the-minute information without the risks associated with unchecked social media posts. They empower journalists to report transparently, involve their audience in the storytelling process, and foster genuine connections. As leading German news provider, the Sueddeutsche Zeitung, commented:

“Live blogs enable news to be shared with audiences while other in-depth reports, reportage, or commentaries on the event are prepared. In a sense, they show storytelling in the making.”

Direct interaction through comment blocks and Q&As, for example, allow journalists to go beyond basic updates to establish and meet user needs in an audience-first approach that fosters deeper connections. Videos showcasing their work make news organizations more relatable and trustworthy, while the ability to build transparency into reporting processes by clarifying sources, linking directly to primary documents, and issuing real-time corrections, stand live blogs apart from the fast-moving, unregulated world of social media.

Personality goes a long way

We know that the social and personal element of influencers is a major draw for audiences. With their less formal structure, live blogs allow journalists to bring a bit of their own personality into their reporting, whether through their tone, choice of details, or even small touches like author photos and location tags: “On the ground in D.C.” or “Live from the Oscars red carpet”.

A more casual style isn’t suitable for every story, but Der Spiegel’s recent Grammys live blog suggests there is room for opinion in live coverage. The witty back-and-forth between the reporters added depth and personality, making it feel more like a conversation than information feed, and turning a passive read into a shared event experience. As live blogs continue to evolve, they offer a powerful way for journalists to engage their audience on a more personal level while maintaining journalistic integrity.

By prioritizing transparency, authenticity, and connection, news organizations can rebuild audience trust and position themselves as authoritative sources in a crowded media landscape. This commitment to openness builds credibility, combats misinformation, and strengthens the relationship between journalists and the public—fostering deeper engagement and loyalty. And in 2025, that will be more crucial than ever.

Engaging younger audiences with interactive micro-content

Short-form video content has become a dominant format in social media, with platforms like TikTok popularizing the trend. However, while social media may excel at capturing attention, it often lacks editorial oversight. Live blogs, on the other hand, allow media organizations to blend micro-content—such as short videos, Q&As, and polls—with verified news updates that audiences can trust. This interactive approach keeps younger audiences engaged while ensuring that the information they consume is accurate and relevant.

Stuff often uses live blogs to great effect, covering events such as The Met Fashion Gala to keep readers up to date with the outfits on show and drama as it unfolds. By incorporating expert written comment and video snippets, readers were brought closer to the event. Audience surveys enabled reporters to gain real-time feedback from readers, who in turn could actively participate in the coverage they consumed, creating a compelling, participatory experience.

Mobile-first and second-screen experiences

The way people consume news has shifted dramatically. Television audiences continue to decline, while mobile devices have become the primary gateway to news and entertainment. Live blogs cater to this shift by offering mobile-first, responsive designs that provide seamless access across devices.

Additionally, live blogs enhance the “second-screen experience” by integrating real-time stats, analysis, and background reports. Whether covering a sports match, a political debate, or a major breaking news event, live blogs give audiences a richer, more immersive experience than passive social media scrolling.

One of the world’s longest-running and most-watched non-sporting events, The Eurovision Song Contest, is a great example of this in action. From the performances on stage to the backstage dramas, national titles such as The Irish Independent used their live blog to provide followers with a second screen to participate in the antics of this diverse and elaborate spectacle.

Strengthening community ties

In the race for digital engagement, national and global media outlets often overlook the power of local reporting. However, hyperlocal content is experiencing a resurgence as audiences seek news that directly impacts their communities. And people often turn to social media groups for interaction at a neighborhood level.

Live blogs offer an ideal alternative for this type of coverage, enabling media companies to provide real-time updates on local events, elections, and sports teams. In the summer of 2024, heavy rain caused severe flooding across Germany and other parts of Europe. Reporters from a range of national and regional titles covered the situation via live blogs for days on end, often late into the night, to keep local readers informed on their situation in their area. Readers spent an average of 5 minutes on the live blogs to keep abreast of updates and prepare for the floods.

By focusing on hyperlocal reporting, publishers can build stronger community ties, enhance audience loyalty, and support long-term engagement through subscription models.

Engagement with responsibility

The social media era has prioritized virality over veracity, often at the expense of journalistic integrity. As regulatory pressures increase and audience expectations shift, media organizations must embrace formats that prioritize both engagement and responsibility in order to win back audience share with viable alternatives.

Live blogs present a sustainable solution. By offering real-time, fact-checked news in an interactive format, they provide a compelling alternative to social media’s often chaotic and unreliable ecosystem. Publishers that invest in live-blogging technology will not only enhance audience trust but also future-proof their reporting strategies in an increasingly uncertain digital landscape.

The post Why live blogs are the key to trustworthy news appeared first on Digital Content Next.