Open source algorithm helps spot social media shams
Researchers from Carnegie Mellon University say they have developed an open source algorithm that can help spot social media frauds trying to sway valuable community influence.
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“Given the rise in popularity of social networks and other web services in recent years, fraudsters have strong incentives to manipulate these services. On several shady websites, anyone can buy fake Facebook page-likes or Twitter followers by the thousands. Yelp, Amazon and TripAdvisor fake reviews are also available for sale, misleading consumers about restaurants, hotels, and other services and products. Detecting and neutralizing these actions is important for companies and consumers alike,” the researchers wrote in a paper outlining their algorithm known as FRAUDAR.
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