With Madeleine Daepp, Robert Osazuwa Ness, and Joyojeet Pal
We characterize the use of Gen AI to manipulate public opinion through fieldwork in two countries characterized by their abundance of computational propaganda.
With Manoel Horta-Ribeiro and Nicolas Christin
We measure sales of social media accounts and investigate their uses after they are sold. We find that many accounts are used for potentially illicit ends, such as political propaganda or financial scams. We then develop a technique to identify similar accounts in the wild.
With Saloni Dash, Madeleine Daepp, Bharat Nayak, and Dan Vann
We develop an AI red teaming approach to automatically generate adversarial prompts across languages and cultures. Our goal is to develop techniqes to mitigate disinformation that scale globally and realistically reflect how adversaries (mis)use models.
With Haoxiang Yu and Nicolas Christin
We collect a large dataset of Telegram bots using snowball sampling as well as other public sources. We then interact with the bots to obtain additional information about their uses. Our goal is to characterize the uses of Telegram bots, ranging from the benign to the malicious.
With Nicolas Christin
We document and characterize the emerging and evolving use cases of Generative AI models by exploring how people in underground communities use, monetize, and distribute Gen AI tools and models.