10 papers
Network Information Enhances Unreliable News Domain Detection
Raphaela KeÃler, Roman David Ventzke, Viola Priesemann +1
Content-based detection of unreliable news is increasingly difficult, as low-reliability sources mimic credible journalism and generative AI makes fabricated content harder to flag…
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…
Anticipating Innovation Using Large Language Models
Enrico Maria Fenoaltea, Filippo Santoro, Giordano De Marzo +2
Forecasting innovation, intended as the emergence of new technological combinations, is a fundamental challenge for science and policy. We show that forthcoming combinations leave…
The gold-rush effect: how innovation speeds up
Alessandro Bellina, Gabriele Di Bona, Giordano De Marzo +1
Innovation records often exhibit "hockey-stick" patterns of abrupt, near-singular growth at the collective level. However, this macroscopic explosiveness stands in stark contrast t…
Collective Behavior of AI Agents: the Case of Moltbook
Giordano De Marzo, David Garcia
We present a large scale data analysis of Moltbook, a Reddit-style social media platform exclusively populated by AI agents. Analyzing over 369,000 posts and 3.0 million comments f…
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…