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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Data-driven Journalism for Social Media:  Creating the Right Post for Every Platform and Occasion

Data-driven Journalism for Social Media: Creating the Right Post for Every Platform and Occasion

How can social media be more than just an afterthought for data-driven journalism (DDJ)? As a partner of the European Data Journalism Network (EDJN), our colleagues at DW Data have been exploring ways to attract readers and make DDJ stories more interesting on Facebook, Instagram, Twitter, and YouTube. Here is a guest post with new insights by Kira Schacht.

 

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Data-driven Journalism for Social Media: How to Tweak Your Workflow

Data-driven Journalism for Social Media: How to Tweak Your Workflow

For a long time, social media was merely an afterthought in the daily routine of data journalists. Why worry about promoting a story and making it more accessible when you can scrape websites and build sophisticated charts all day? Luckily, a project launched by the European Data Journalism Network (EDJNet) has been (successfully) working on changing that status and mindset. DW Data is a part of the initiative, and our Eva Lopez – a data journalist and innovation manager – frequently shares what she and her team have learned. These are the latest insights.

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