Journalists face a challenging environment where the amount of incoming content is ever-increasing while the need to publish news as fast as possible is extremely pressing. On top of that, journalists need to ensure that published content is trustworthy and relevant for its audience. The use case focuses on the concept of a Smart News Assistant, i.e. a tool that will support journalists in the creation of news stories by providing a variety of AI-enabled functionalities for story production and development, story curation and publication, and audience engagement.
Story development will be facilitated by providing automatic story suggestions based on analytics of past audience engagement and trend detection in social media, as well as by providing real-time suggestions during article preparation, e.g. suggesting relevant articles or video content from news archives and warning about fake news. Functionalities for automated news articles summaries, automated article indexing and annotation for easier search, automated content curation and adaptation to different audience needs, and personalised news experiences based on past behaviour of news consumers will be supported to enhance story curation. Finally, semi-automated moderation of online discussions about news articles, including polarisation detection and classification of disagreements, and automatic management of audience feedback will be supported to facilitate audience interaction and engagement.