Telling whether the product that arrived in your Amazon box is what you meant to order can be puzzling. Can you guess which ones of these are the imposters?

This talk investigates the business of fake likes and fake accounts: In a world, where the number of followers, likes, shares and views a...

Grubhub has been buying up to 23,000 fake domains that resemble real restaurants.

Iowa researchers built an AI engine they say can spot abusive apps on Twitter months before the service itself identifies them.

Twitter will begin removing tens of millions of suspicious accounts from follower numbers, signaling a major new effort to fight fraud and restore trust on the platform.

A <em>New York Times</em> exposé of a “black market” for online fame diagnoses the symptom of social-media despair, but misses its cause.

“I think the current version of the app is a good start, but I hope to streamline it even more in the coming days and weeks,” the Redditor behind FakeApp tells Motherboard. “Eventually, I want to improve it to the point where prospective users can simply select a video on their computer, download a neural network correlated to a certain face from a publicly available library, and swap the video with a different face with the press of one button.”

The largest network ties together more than 350,000 accounts and further work suggests others may be even bigger.