ntv.de

Revolutionizing digital journalism

Logo-ntv

ntv.de, part of RTL Deutschland, is one of Germany’s top digital news portals and home to the ntv Nachrichten app. Partnering with ML6, they use AI to streamline editorial workflows, speeding up publication while preserving journalistic quality.

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Catch up quickly

ntv.de collaborated with ML6 to integrate Large Language Models (LLMs) into their editorial process, automating article assessment and draft generation while keeping editors in full control. This AI-assisted workflow reduces time-to-publish, increases daily news output, and frees journalists to focus on unique, creative content. The result: faster, more efficient journalism that maintains quality and strengthens ntv.de’s position as Germany’s leading digital news portal.

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About this client

Ntv.de is the digital news offering that belongs to the broadcasting channel ntv, a brand of RTL Deutschland. ntv.de is one of Germany’s most visited digital news offerings holding one Grimme Online Award and has already been awarded Germany’s biggest news portal.

Together with its news portal ntv.de operates the ntv Nachrichten app, one of Germany’s most downloaded News apps (Top 10 downloaded News apps Germany, iOS & Android, April 2024)

The editorial office of ntv.de is located in Berlin. In this newsroom the journalists create self-researched news as well as articles based on news agency imports from dpa, Reuters, AFP & sid.

Impact

ntv.de, an RTL brand, a leading German news portal, collaborates with ML6 to optimise its editorial process. By strategically deploying machine learning, they enhance workflows and improve the quality of content. This leads to greater efficiency, considerable time savings for editors, and an increase in daily news production. Experience the significant transformation as ntv.de leads the way in the evolution of modern journalism.

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Challenge

The media industry is undergoing rapid transformation, with traditional journalism facing pressure from digital disruption and shifting audience behaviors. To stay competitive, ntv.de must adapt its operations while safeguarding its reputation for speed and quality.

  • Disruption from Social Media

    Traditional journalism is under pressure from fast-moving social platforms shaping how people consume news.

  • Changing Audience Habits

    Younger generations demand instant, digital-first news, forcing outlets to adapt their formats and speed.

  • Maintaining Speed & Quality

    ntv.de must ensure rapid news production without compromising accuracy or journalistic standards.

  • Sustaining Revenue Growth

    Keeping advertising revenue on track requires scaling digital offerings while holding audience attention.

Solution

To accelerate publishing and safeguard journalistic quality, ntv.de collaborated with ML6 to integrate Large Language Models (LLMs) into their editorial process. The solution blends automation with human oversight, enabling faster workflows while keeping editorial control firmly in the hands of journalists.

  • AI-Enhanced Editorial Workflow

    Fine-tuned LLMs support the full production process, from article intake to draft generation.

  • Smart Article Assessment

    Incoming agency news (e.g. dpa) is automatically evaluated against editorial rules for relevance.

  • Seamless Draft Generation

    With one click, editors receive a suggested article draft written in ntv.de’s style, powered by complex prompt chains running in the background.

  • Human-in-the-Loop Control

    Final article selection and rewrites always remain with editors, ensuring accuracy, quality, and accountability.

Results

The solution developed by ntv.de and ML6 significantly streamlines the editorial process. It achieves this by reducing the time an editor spends searching for a topic and suggesting text elements that save time per article and benefit time-to-publish.‍

As a result, the daily output of news is increased, while maintaining or possibly even enhancing the number of clicks and reads on the platform. This efficiency boost not only expedites the news cycle but also optimizes resource allocation across the editorial team. It gives journalists more time to produce unique content and allows them to devote more time to creative tasks.

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Anna Lindegren
Anna LindegrenClient Partner, ML6

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Anna Lindegren
Anna LindegrenClient Partner, ML6
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