AI for Content Verification III: Future Trends and Ultimate Goals

AI for Content Verification III: Future Trends and Ultimate Goals

In the scope of the EU co-funded AI4Media project, we recently contributed to a long, public report entitled “AI technologies and applications in media: State of Play, Foresight, and Research Directions”. For better accessibility and readability, we’ve now turned our section into a multi-part blog series (with a couple of edits and updates). Here’s part three, which looks at future trends and goals for AI-driven content verification.

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AI for Content Verification III: Future Trends and Ultimate Goals

AI for Content Verification II: Research Challenges

In the scope of the EU co-funded AI4Media project, we recently contributed to a long, public report entitled “AI technologies and applications in media: State of Play, Foresight, and Research Directions”. For better accessibility and readability, we’ve now turned our section into a multi-part blog series (with a couple of edits and updates). Here’s part two, which looks at research challenges with regard to AI and content verification.

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SELMA User Day: Hands-on HLT Tools in the Newsroom

SELMA User Day: Hands-on HLT Tools in the Newsroom

What’s the state of the art when it comes to producing multilingual, accessible content? How can we monitor vast amounts of information and cluster it in terms of people, topics, and diversity characteristics? What’s new in the AI-driven newsroom? Those and similar questions were answered at the first SELMA User Day, hosted by DW in Bonn on October 12th.

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AI for Content Verification III: Future Trends and Ultimate Goals

AI for Content Verification I: Status Quo and Current Limitations

In the scope of the EU co-funded AI4Media project, we recently contributed to a long, public report entitled “AI technologies and applications in media: State of Play, Foresight, and Research Directions”. For better accessibility and readability, we’ve now turned our section into a multi-part blog series (with a couple of edits and updates). Here’s part one, which looks at the status quo and current limitations of AI in the field of content verification.

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