Login
Login is restricted to DCN Publisher Members. If you are a DCN Member and don't have an account, register here.

Digital Content Next logo

Menu

InContext / An inside look at the business of digital content

Balancing efficiency and authenticity in journalistic use of AI

Consumers and editors alike both use AI and are skeptical of it all the same. However, when used well, AI can allow journalists to do a better job delivering news and information audiences value

September 30, 2024 | By Naomi Owusu, CEO and Co-founder – Tickaroo@tickarooConnect on

Two small letters – AI – are proving major disruptors for the digital news industry. Already, 70% of journalists and newsroom leaders use generative AI in some capacity. While we hear much excitement over its potential, opinion remains divided. Senior editorial representatives at titles such as UK newspaper The Sun have expressed concern that AI in journalism will deliver a “tsunami of beige” content. And readers say they prefer AI-free news.

As such, there is a balancing act to be performed for AI and human input in newsrooms, pitting its potential to revolutionize the industry against the risks of over-reliance and ethical concerns to find a middle ground that benefits all. Against a backdrop of budget and team cuts, however, it’s crucial to realize that AI can enhance workflow efficiency, allow journalists to do more with less. That, in turn, can allow teams to focus on what matters the most: creating human-centered, authentic content that engages the reader.

Using AI to bridge the gap with users

Primary motivations among journalists for using AI technologies include automating mundane tasks. But as Ranty Islam, Professor of Digital Journalism, pointed out at the 2024 DW Global Media Forum, this isn’t the be-all and end-all of AI. The key lies in integrating AI into a holistic strategy that brings journalism closer to readers. Using AI to perform necessary but time-intensive tertiary tasks means that journalists—notably those in local newsrooms with smaller budgets and teams—can get more actual journalism done. They can get out there to connect with real people and stories.

Moreover, as audience needs change, AI can help newsrooms track and enhance the stories and formats that perform for them in an audience-first strategy. Using AI alongside tracking means newsrooms can harness suggestions about when to write stories and the kinds of topics and formats that audiences want to see. Content suggestions can be made based on AI tagging systems,while algorithms that suggest stories based on user behavior or interests can help tailor content for different audiences. This enhances the reader experience for greater engagement and retention while also helping boost subscription offerings through data-driven personalization.

Doing more with less

There is a wealth of opportunities for newsrooms to use AI to help with everyday tasks, and the benefits for understaffed newsrooms are clear. The local news sector has particularly felt the impact, losing nearly two-thirds of its journalists since 2005. AI can serve as a helping hand for tasks that would otherwise require multiple staff members. We have integrated AI into our liveblogging software, for example, to enable users to generate liveblog content summaries in seconds, assimilate live sports results, adjust tone and language, create social media posts, and generate image captions for enhanced SEO.

AI’s potential to localize content and engage new audiences is widely recognized. FT Strategies has highlighted AI translation as “truly disruptive in the context of news”, particularly for multilingual communities or multinational publishers seeking to replicate regional content across multiple sites.

Indeed, AI excels at summarizing and extracting information, making it extremely useful for summary generation. While most reporters aren’t keen on full AI copy generation, enabling teams to recycle their content quickly and easily or suggest headlines based on keywords can be a huge help. Moreover, since the training data is their own, the summaries reflect the author’s original, authentic style.

This summarization can be carried through to data analysis to create charts and infographics. AI can even create text descriptions for supporting media to help with search engine optimization or social media posts and matching hashtags to promote stories. Journalists aren’t typically SEO or social media managers, but small teams sometimes need to wear multiple hats. Using AI as a virtual assistant allows reporters to focus more energy on their reporting.

AI can also be harnessed to support a journalist’s development or to augment collaboration or brainstorming that might once have been done in a newsroom among a large team. AI can be used to create identify story gaps or flaws, a tool to suggest improvements, or to proofread, make composure suggestions, and adapt tonality to the situation at hand. This is particularly useful when wanting to address various user needs or even different age groups.

Liveblogs offer a prime example of how AI can be harnessed to enhance reporting, helping manage and update live content in real-time, automatically pulling in relevant information, images, and social media posts. This allows journalists to focus on providing valuable insights and context, delivering a dynamic and engaging experience for readers.

Trust and transparency while using AI in journalism

Using AI behind the scenes in this multitude of ways chimes with reader comfort levels. The Reuters Institute for the Study of Journalism revealed that while readers are skeptical of AI-generated content, they are generally happier with AI handling behind-the-scenes tasks under human supervision—as long as newsrooms are transparent about AI usage.

While AI can help to detect disinformation, fact-check, or moderate online comments, adding to the integrity of journalistic content, its tendency to hallucinate and invent also means that human oversight is vital. We must train journalists to work alongside AI, using it to enhance, not supersede, their skills, striking a balance between AI utility and the preservation of the human element in news reporting. 

AI is a tool, not a substitute. It can automate mundane tasks, save time and assist research and brainstorming processes, but its power lies in complementing human effort, not replacing or overshadowing it.

The future of journalism lies in a hybrid approach in which AI supports, not replaces, the essential human touch that defines quality journalism. Whatever the medium—print, online, liveblog—by fostering collaboration between technology and editorial expertise, newsrooms can navigate this evolving landscape, ensuring that AI enhances, rather than diminishes, the integrity and creativity of journalistic work.

Liked this article?

Subscribe to the InContext newsletter to get insights like this delivered to your inbox every week.