ALEJANDRO CUEVAS


Work in Progress


Generative Propaganda
With Madeleine Daepp, Robert Osazuwa Ness, Vickie Wang, Bharat Nayak, Dibyendu Mishra, Ti-Chung Cheng, Shaily Desai, and Joyojeet Pal

(Under Submission)
Description
We characterize the use of Gen AI to manipulate public opinion through fieldwork in two countries characterized by their abundance of computational propaganda. 
CategoryLLMs, User Study, Qualitative, Disinformation


Deepfake Pornography is Resilient to Regulatory and Platform Shocks
With Manoel Horta Ribeiro

(Under Submission)
Description
We investigate the causal impact of the TAKE IT DOWN Act and the subsequent MrDeepfakes shutdown on the production and demand of synthetic non-consensual explicit imagery. 
CategoryCausality, Synthetic Control, AI, Deepfakes, Adult Content, Policy Impact


Changes in YouTube's Inauthentic Content Monetization Policy Had Limited Impact on the Price and Supply of Channels
With Pranav Gadde and Manoel Horta Ribeiro

(Under Submission)
Description
We investigate the causal impact of YouTube’s July 15th inauthentic content policy update on the supply, demand, and pricing of YouTube channels in two secondary markets: Fameswap and Accs-Market.
CategoryCausality, Interrupted Time Series, Inauthentic Content, Social Media, Policy Impact


Measuring Repurposed Accounts for Deception and Profit
With  Manoel Horta Ribeiro and Nicolas Christin
(To Appear at USENIX Security 2026)
Description
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.

CategoryUnderground Markets, Mixed Methods, Social Media


What Are Telegram Bots Used For?

With Taro Tsuchiya, Tina Marjanov, Haoxiang Yu, Alice Hutchings, and Nicolas Christin

(Under Submission)
Description
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.
CategoryUnderground Platforms, Mixed Methods, Large-scale Measurement


Characterizing The Illicit Uses of Generative AI Models

With Nicolas Christin
Description
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.
CategoryUnderground Platforms, Mixed Methods, LLMs


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