Taking down human traffickers through online ads ...Middle East

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Taking down human traffickers through online ads
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Researchers at Carnegie Mellon University and McGill University have adapted an algorithm first developed to spot anomalies in data, like typos in patient information at hospitals or errant figures in accounting, to identify similarities across escort ads. The algorithm scans and clusters similarities in text and could help law enforcement direct their investigations and better identify human traffickers and their victims, said Christos Faloutsos, the Fredkin Professor in Artificial Intelligence at CMU's School of Computer Science, who led the team.

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