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20232026
most citedHow malicious AI swarms can threaten democracy: The fusion of agentic AI and LLMs marks a new frontier in information warfare

23 citations · 28 across the 9 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

cs.MA2026

Copying explains the collective behavior of AI agents in the wild

Giordano De Marzo, Nicola Alboré, David Garcia

In June 2026, thousands of AI agents found that a small public wiki would accept edits from inside their sandboxes, and started using it to help one another pass a timed test. Each…

physics.soc-ph2026

Conformity Generates Collective Misalignment in AI Agents Societies

Giordano De Marzo, Alessandro Bellina, Claudio Castellano +2

Artificial intelligence safety research focuses on aligning individual language models with human values, yet deployed AI systems increasingly operate as interacting populations wh…

physics.soc-ph2026

Collective Behavior of AI Agents: the Case of Moltbook

Giordano De Marzo, David Garcia, Andres L. Marin

We present a large scale data analysis of Moltbook, a Reddit-style social media platform exclusively populated by AI agents. Analyzing over 4 million posts and 19 million comments…

cs.AI2026

Conformity and Social Impact on AI Agents

Alessandro Bellina, Giordano De Marzo, David Garcia

As AI agents increasingly operate in multi-agent environments, understanding their collective behavior becomes critical for predicting the dynamics of artificial societies. This st…

cs.CL2026

Automatic Classifiers Underdetect Emotions Expressed by Men

Ivan Smirnov, Segun T. Aroyehun, Paul Plener +1

The widespread adoption of automatic sentiment and emotion classifiers makes it important to ensure that these tools perform reliably across different populations. Yet their reliab…