At the Indiana University Observatory on Social Media, my colleagues and I study influence campaigns and design technical solutions-algorithms- to detect and counter them. State-of-the-art methods developed in our center use several indicators of this type of online activity, which researchers call inauthentic coordinated behavior.
We have uncovered many examples of coordinated inauthentic behavior. For example, we found accounts that flood the network with tens or hundreds of thousands of posts in a single day.
Using these tricks, foreign governments and their agents can manipulate social media algorithms that determine what is trending and what is engaging to decide what users see in their feeds.
One technique increasingly being used is creating and managing armies of fake accounts with generative artificial intelligence. We analyzed 1,420 fake Twitter (now X) accounts that used AI-generated faces for their profile pictures.
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