activity
20102026
most citedMapping the NFT revolution: market trends, trade networks and visual features

652 citations · 1.9k across the 68 of their papers we have counts for

collaborators

79 papers

cs.AI2026

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…

cs.MA2026

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…

cs.CY2026

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…

cs.CY2026

AI Persuasive Framing in Collective Dilemmas

Anders Giovanni Møller, Alessia Galdeman, Arianna Pera +1

AI agents are promising tools that can act as flexible behavioral nudges to enhance human cooperation in addressing large-scale societal problems. However, evidence on whether AI a…

cs.CL2026

P1SCO: Social Dimensions from a Perspectivist Lens

Amanda Cercas Curry, Gianmarco de Francisci Morales, Luca Maria Aiello

We introduce P1SCO, a dataset of social media comments collected from three distinct platforms, annotated according to ten social dimensions to capture the diversity of social inte…

cs.CL2026

Learning Perspectivist Social Meaning via Demographic-Conditioned Fusion Embeddings

Amanda Cercas Curry, Lucio La Cava, Luca Maria Aiello +1

Social meaning in language is inherently perspectival, varying across annotator backgrounds, demographics, and ideological positions. However, most NLP systems collapse this variat…

cs.CY2026

Auditing the Reliability of Multimodal Generative Search

Erfan Samieyan Sahneh, Luca Maria Aiello

Multimodal Large Language Models (MLLMs) increasingly function as generative search systems that retrieve and synthesize answers from multimedia content, including YouTube videos.…

cs.SI2026

Twitter climate discourse as a signal of pro-environmental behaviors

Edoardo Maggioni, Diego Garlaschelli, Rossana Mastrandrea +1

Fostering coordinated pro-environmental behaviors at scale is a key challenge for climate mitigation. Individual actions only generate meaningful impact when they diffuse widely an…

cs.CL2026

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…

cs.CY2026

Overreliance on AI in Information-seeking from Video Content

Anders Giovanni Møller, Elisa Bassignana, Francesco Pierri +1

The ubiquity of multimedia content is reshaping online information spaces, particularly in social media environments. At the same time, search is being rapidly transformed by gener…

cs.CY2026

Measuring Narrative Polarization in Online Discourse

Jan Elfes, Marco Bastos, Luca Maria Aiello

Polarization research has demonstrated how people cluster in homogeneous groups with opposing opinions. However, this effect emerges not only through interaction between people, li…

cs.MA2025

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…

cs.SI2025

Machines in the Crowd? Measuring the Footprint of Machine-Generated Text on Reddit

Lucio La Cava, Luca Maria Aiello, Andrea Tagarelli

Generative Artificial Intelligence is reshaping online communication by enabling large-scale production of Machine-Generated Text (MGT) at low cost. While its presence is rapidly g…

cs.CY2025

Framing Unionization on Facebook: Communication around Representation Elections in the United States

Arianna Pera, Veronica Jude, Ceren Budak +1

Digital media have become central to how labor unions communicate, organize, and sustain collective action. Yet little is known about how unions' online discourse relates to concre…

cs.SI2025

Podcasts as a Medium for Participation in Collective Action: A Case Study of Black Lives Matter

Theodora Moldovan, Arianna Pera, Davide Vega +1

We study how participation in collective action is articulated in podcast discussions, using the Black Lives Matter (BLM) movement as a case study. While research on collective act…

physics.soc-ph2025

The Trade-Off between Directness and Coverage in Transport Network Growth

Clément Sebastiao, Anastassia Vybornova, Ane Rahbek Vierø +2

Designing spatial networks, such as transport networks, commonly deals with the problem of how to best connect a set of locations through a set of links. In practice, it can be cru…

cs.CL2025

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…

cs.HC2025★ 1 cited

The Impact of Generative AI on Social Media: An Experimental Study

Anders Giovanni Møller, Daniel M. Romero, David Jurgens +1

Generative Artificial Intelligence (AI) tools are increasingly deployed across social media platforms, yet their implications for user behavior and experience remain understudied,…

cs.HC2025

The Experience of Running: Recommending Routes Using Sensory Mapping in Urban Environments

Katrin Hänsel, Luca Maria Aiello, Daniele Quercia +4

Depending on the route, runners may experience frustration, freedom, or fulfilment. However, finding routes that are conducive to the psychological experience of running remains an…

physics.soc-ph2025

Modeling the Impact of Group Interactions on Climate-related Opinion Change in Reddit

Alessia Antelmi, Carmine Spagnuolo, Luca Maria Aiello

Opinion dynamics models describe the evolution of behavioral changes within social networks and are essential for informing strategies aimed at fostering positive collective change…

cs.SI2025

Mapping the Climate Change Landscape on TikTok

Alessia Galdeman, Luca Maria Aiello

Social media platforms shape climate action discourse. Mapping these online conversations is essential for effective communication strategies. TikTok's climate discussions are part…

cs.CL2025

Unmasking Conversational Bias in AI Multiagent Systems

Erica Coppolillo, Giuseppe Manco, Luca Maria Aiello

Detecting biases in the outputs produced by generative models is essential to reduce the potential risks associated with their application in critical settings. However, the majori…

cs.SI2025★ 1 cited

Extracting Participation in Collective Action from Social Media

Arianna Pera, Luca Maria Aiello

Social media play a key role in mobilizing collective action, holding the potential for studying the pathways that lead individuals to actively engage in addressing global challeng…

cs.CY2024★ 1 cited

Causal Modeling of Climate Activism on Reddit

Jacopo Lenti, Luca Maria Aiello, Corrado Monti +1

Climate activism is crucial in stimulating collective societal and behavioral change towards sustainable practices through political pressure. Although multiple factors contribute…