To identify fake news, Fraunhofer FKIE’s new machine learning tool analyzes both text and metadata. Invented stories, distorted facts: fake news is spreading like wildfire on the internet and is often shared on without thought, particularly on social media. In response, Fraunhofer researchers have developed a system that automatically analyzes social media posts, deliberately filtering out fake news and disinformation. To do this, the tool analyzes both content and metadata, classifying it using machine learning techniques and drawing on user interaction to optimize the results as it goes.
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