How News Production is Evolving in the Era of AI 

If you’ve had the chance to read the recent report ‘The Future of Newsroom Workflows’, you’ll know that nearly 60% of News Organizations view Artificial Intelligence (AI) in newsrooms as a benefit. From automating simple tasks to generating personalized content, Machine Learning (ML) and AI tools are creating more efficient ways to work—and we’re only scratching the surface of what it can do. As AI reshapes how we create, manage, and share stories, how can newsrooms adapt to stay ahead and how can new AI enabled tool sets be used by modern newsrooms for story-centric workflows?

Before we enter the realm (the most ChatGPT of phrases!) of AI, let’s see what we’re working with:

• Machine learning is a branch of artificial intelligence and computer science that focuses on using data and algorithms to enable AI to imitate human learning, gradually improving its accuracy.
• Artificial intelligence can perform tasks that typically require human intelligence using machines. AI encompasses various subfields, including machine learning and deep learning, which allow systems to learn and adapt.
• Generative AI is a type of artificial intelligence technology that can produce various types of content, including text, art, imagery, and audio.

While ML and AI were introduced as early as the 1950s, we now have accessible and user-friendly models like GPT-4 that are truly unlocking the future of media with AI. As Mathieu Zarouk (VP of Product Management at Dalet) says, “AI-driven solutions that have existed for many years have now reached an acceptable level of maturity and commercial viability.”

Now that AI is so widely available and accessible, what are some of the significant benefits and drawbacks of AI in news production?

Benefits of AI in News Production

1. Automation of mundane tasks

AI automates repetitive tasks such as tagging, formatting, and metadata generation. This allows journalists to focus on creativity and impactful storytelling, improving efficiency across the newsroom.

2. Captioning and categorizing

AI accelerates caption creation for live and recorded content while automatically organizing assets with metadata and tags. This allows for fast retrieval and seamless multi-platform distribution.

3. Translating and versioning

AI streamlines localization by translating content accurately and suggesting culturally relevant adaptations, helping newsrooms tailor stories for diverse audiences worldwide.

4. Summarization and suggestions

AI tools simplify complex data, summarize large volumes of information, and suggest narratives or visual elements. This ensures journalists can quickly craft cohesive, compelling stories.

4. Enhanced personalization

By analyzing user behavior, AI delivers tailored content recommendations, helping news organizations engage audiences with relevant stories that align with their interests and viewing habits.

Drawbacks of AI in News Production

1. Limited contextualisation

While we mentioned that AI can gather and analyze data above, it is limited when taking social, cultural, or economic context into account. This can sometimes lead to producing content that lacks depth and conviction.

2. Ethical concerns

While AI can analyze data and pick up on patterns, it cannot make moral or ethical choices like a journalist would. This raises the risk that AI-driven stories could produce unreliable or biased information through data they incorrectly process.

3. Lack of human touch

The human touch is crucial in news production. AI fails to capture nuanced understandings, emotions, and broader implications around events. This can lead to impersonal content production that struggles to resonate with audiences.

4. Spread of Fake News

A major concern with AI in news production is its potential to spread misinformation and fake news. Users find it challenging to differentiate between real and fabricated content, which results in a lack of audience trust.

5. Deepfake Technology

Deepfakes are engineered videos or audio recordings that look real but are entirely fabricated. These can be used to spread misinformation or manipulate public perception, presenting a significant challenge to a news producer’s credibility.

Following on from the last two points, it’s important to note how organizations like C2PA (Coalition for Content Provenance and Authenticity) are addressing the growing issue of misinformation and content authenticity on digital platforms. Formed by a coalition of major technology and media companies (the big leagues like Adobe, Microsoft, Intel, and the BBC), the main goal of C2PA is to help combat media manipulation to shape AI’s future. Dalet has been a member of C2PA since 2021 and works with France Télévisions on an innovative C2PA proof of concept to help address the onslaught of potentially misleading content. (learn more here).

How AI-Enabled Newsroom Solutions Can Change the Game

Working alongside traditional news production processes, AI tools can enhance your ability to deliver a consistent narrative across platforms to support the story-centric approach needed in the modern newsroom. Here are just a few real-world, practical applications of how an AI-enabled solution can support efficient, streamlined workflows right now:

• Speech recognition: AI-enabled production tools turn speech into usable metadata and enable automatic caption generation. This means users can not only find the exact moment in an interview or news story they are searching for, but also increase the speed and accuracy of captioning for live and recorded content.

• Language translation: This allows users to easily translate and automate generated captions, existing captions, or even graphics. Especially helpful for international networks, teams can create multiple language versions of content automatically.

• Automated metadata tagging: AI-enabled MAMs allow producers to enrich content with AI-generated descriptive metadata, saving organizations significant time and energy over manual entry and logging.

• Wire summarization: This enables teams to instantly generate concise summaries from wire services to quickly assess breaking news and integrate key points into their stories without sifting through lengthy reports. This accelerates the editorial decision-making process, ensuring that stories remain fresh and relevant.

• Social post drafting: By using AI to generate platform-specific headlines, captions, and post suggestions, you can streamline the process of adapting news content for social media. Instead of manually rewriting each piece, journalists can use AI-generated drafts as a starting point, ensuring rapid distribution while keeping messaging aligned across platforms.

• Assisted editing: Enhance video and audio production by using AI to suggest cuts, highlights, or even auto-assemble rough edits based on predefined templates or metadata. This reduces the manual workload on editors, allowing them to focus on refining storytelling rather than spending time on routine assembly.

• Multi-engine integration: This lets users leverage leading AI engines for an organization’s specific needs. It also connects multiple AI services to a centralized platform including other integrated tools and SaaS offerings.

Discover Integrated, Practical AI With Dalet

While it’s easy to get caught up in the endless possibilities of AI, it’s important to focus on where we are today. Despite the risks of misused information, fake news, and deepfakes, there’s no denying that AI (together with safeguards put in place) can be leveraged to make certain elements of news production easier, faster, and better.

Designed with this in mind, Dalet Media Cortex seamlessly integrates powerful AI capabilities into your workflows–empowering media professionals to better serve their audiences. By driving increased efficiency in content curation, production, management, and publishing, Dalet Media Cortex works behind the scenes to enhance every step of your news production process.

Experience the transformative benefits of Dalet Media Cortex through Dalet Pyramid, the cutting-edge solution designed to evolve your news production workflows. Our unified news operations platform offers web-based tools for collaborative planning, fast-paced editing, broadcast-grade and digital-native production, as well as multiplatform distribution. With Dalet Pyramid, you enable your team to create, manage, and distribute content seamlessly across all channels

It’s time to evolve your news production and harness the power of AI! To find out more or book a Dalet Pyramid demo, click here.