65 citations · 129 across the 15 of their papers we have counts for
18 papers
Network topology shapes consensus and vulnerability in LLM populations
Roberto Passaro, Ariel Flint, Romualdo Pastor-Satorras +2
As large language models (LLMs) are deployed in interacting populations, their collective behaviour depends not only on the models but also on who interacts with whom. Studies of c…
Peer Influence across Heterogeneous AI Models
Frida Nøhr Laustsen, Marie Haahr Petersen, Victoria Popa +4
When two AI agents disagree, who persuades whom? As multi-agent systems increasingly combine language models of different families and sizes, the answer can determine which judgmen…
Indirect tipping: a social attack surface in AI agent populations
Ariel Flint, Luca Maria Aiello, Sara M. Constantino +2
As generative AI agents are deployed at scale, safety will depend not only on technical safeguards and individual model design, but also on collective equilibria that determine how…
Billions of Sketches Reveal Hidden Cultural Variation in Human Concepts
Arianna Pera, Mauro Martino, Nima Dehmamy +3
Claims about the universality of human concepts have been predominantly assessed through linguistic similarity across languages and cultures. However, words are effective as commun…
Failure of contextual invariance in large language models
Sagar Kumar, Ariel Flint, Luca Maria Aiello +1
Standard evaluation practices assume that large language model (LLM) outputs are stable when prompts are embedded in contextually equivalent discourses. Here, we test this assumpti…
Group size effects and collective misalignment in LLM multi-agent systems
Ariel Flint, Luca Maria Aiello, Romualdo Pastor-Satorras +1
Multi-agent systems of large language models (LLMs) are rapidly expanding across domains, introducing dynamics not captured by single-agent evaluations. Yet, existing work has most…
Reply to "Emergent LLM behaviors are observationally equivalent to data leakage"
Ariel Flint Ashery, Luca Maria Aiello, Andrea Baronchelli
A potential concern when simulating populations of large language models (LLMs) is data contamination, i.e. the possibility that training data may shape outcomes in unintended ways…
How malicious AI swarms can threaten democracy: The fusion of agentic AI and LLMs marks a new frontier in information warfare
Daniel Thilo Schroeder, Meeyoung Cha, Andrea Baronchelli +19
Advances in AI offer the prospect of manipulating beliefs and behaviors on a population-wide level. Large language models and autonomous agents now let influence campaigns reach un…
Towards global equity in political polarization research
Max Falkenberg, Matteo Cinelli, Alessandro Galeazzi +18
With a folk understanding that political polarization refers to socio-political divisions within a society, many have proclaimed that we are more divided than ever. In this account…
Bootstrapping Social Networks: Lessons from Bluesky Starter Packs
Leonhard Balduf, Saidu Sokoto, Onur Ascigil +6
Microblogging is a crucial mode of online communication. However, launching a new microblogging platform remains challenging, largely due to network effects. This has resulted in e…
From Niche to Mainstream: Community Size and Engagement in Social Media Conversations
Jacopo Nudo, Matteo Cinelli, Andrea Baronchelli +1
The architecture of public discourse has been profoundly reshaped by social media platforms, which mediate interactions at an unprecedented scale and complexity. This study analyze…
Ideology and polarization set the agenda on social media
Edoardo Loru, Alessandro Galeazzi, Anita Bonetti +6
The abundance of information on social media has reshaped public discussions, shifting attention to the mechanisms that drive online discourse. This study analyzes large-scale Twit…
Emergent social conventions and collective bias in LLM populations
Ariel Flint Ashery, Luca Maria Aiello, Andrea Baronchelli
Social conventions are the backbone of social coordination, shaping how individuals form a group. As growing populations of artificial intelligence (AI) agents communicate through…
How Language, Culture, and Geography shape Online Dialogue: Insights from Koo
Amin Mekacher, Max Falkenberg, Andrea Baronchelli
Koo is a microblogging platform based in India launched in 2020 with the explicit aim of catering to non-Western communities in their vernacular languages. With a near-complete dat…
The Koo Dataset: An Indian Microblogging Platform With Global Ambitions
Amin Mekacher, Max Falkenberg, Andrea Baronchelli
Increasingly, alternative platforms are playing a key role in the social media ecosystem. Koo, a microblogging platform based in India, has emerged as a major new social network ho…
The role of interface design on prompt-mediated creativity in Generative AI
Maddalena Torricelli, Mauro Martino, Andrea Baronchelli +1
Generative AI for the creation of images is becoming a staple in the toolkit of digital artists and visual designers. The interaction with these systems is mediated by \emph{prompt…
Affective and interactional polarization align across countries
Max Falkenberg, Fabiana Zollo, Walter Quattrociocchi +2
Political polarization plays a pivotal and potentially harmful role in a democracy. However, existing studies are often limited to a single country and one form of polarization, hi…
Shaping New Norms for AI
Andrea Baronchelli
As Artificial Intelligence (AI) becomes increasingly integrated into our lives, the need for new norms is urgent. However, AI evolves at a much faster pace than the characteristic…