How a new AI spots fake stories fast on social media
Millions use social media for news, but that also means many see wrong info every day.
A fresh approach looks not at just the words, but how a story moves through people.
By watching the paths a post takes in a network, the system can tell real from fake, often within hours.
This works because fake news and true stories travel in different ways on social networks, and those patterns are telling.
The tool uses a kind of AI called geometric deep learning that learns from content, who shared it, and how it spread.
Trained on verified stories, it reached about 92% accuracy in tests, so it looks very promising.
It also stays useful even when old examples are tested against new ones, though time makes things harder.
Imagine catching lies early, before they go viral — that is the goal of this research.
It may not stop every falsehood, but it gives people and platforms a smarter way to spot trouble fast with early detection.
Read article comprehensive review in Paperium.net:
Fake News Detection on Social Media using Geometric Deep Learning
🤖 This analysis and review was primarily generated and structured by an AI . The content is provided for informational and quick-review purposes.
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