Researchers Discovers Groups of Instagram Users Gaming the Algorithm by Coordinating Likes and Comments

Researchers at NYU have identified hundreds of groups of Instagram users, some with thousands of members, that systematically exchange likes and comments in order to game the service’s algorithms and boost visibility. In the process, they also trained machine learning agents to identify whether a post has been juiced in this way. “Pods,” as they’ve been dubbed, straddle the line between real and fake engagement, making them tricky to detect or take action against.

On a small scale it doesn’t sound too threatening, but the study found nearly 2 million posts that had been manipulated by this method, with more than 100,000 users taking part in pods. And that’s just the ones in English, found using publicly available data. The paper describing the research was published in the Proceedings of the World Wide Web Conference and can be read here.