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Friday, March 6, 2020
This algorithm could improve emergency responses by removing lies spread on Twitter
An algorithm that filters out misinformation spread on Twitter could help emergency services respond to natural disasters and disease outbreaks. The system uses AI to distinguish between legitimate reports and bot-generated messages in real-time to create a stream of only genuine information. It was created by researchers from the University of Adelaide and Aussie analytics agency Data61. The team had initially been building an algorithm that searches social media for signals that a major event is unfolding. But they discovered that the genuine voices on Twitter were being drowned out by false information. The recent bushfires in Australia provided a…
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