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20212026
most citedUnderstanding the growth of the Fediverse through the lens of Mastodon

81 citations · 233 across the 22 of their papers we have counts for

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8 papers · 1 filter

cs.CL2026

Echoes of Deeds: Moral History Can Shape and Steer LLM Behavioral Choices

Lucio La Cava, Andrea Tagarelli

Evaluations of Large Language Models (LLMs) morality typically consider decisions in isolation, thus overlooking whether an individual's unrelated prior conduct influences the mode…

physics.soc-ph2026

On the Effects of Decentralized Moderation on Network Robustness and Information Diffusion in Mastodon

Beatriz Arregui-García, Lucio La Cava, Anees Baqir +3

Decentralized online social networks such as Mastodon distribute moderation power across thousands of independently governed servers, raising fundamental questions about how local…

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

Political Persuasion and Endorsement in Large Language Models

Alessia Antelmi, Alessia Galdeman, Lucio La Cava +2

Large Language Models (LLMs) are increasingly employed as proxies for human behavior in computational social science. However, their tendency to internalize biases from training da…

cs.AI2026

Double Rectified Linear Unit-based Modular Semantics for Quantitative Bipolar Argumentation Framework

Gianvincenzo Alfano, Sergio Greco, Lucio La Cava +2

Quantitative Bipolar Argumentation Frameworks (QBAFs) provide an alternative approach to computing argument acceptability in Bipolar Argumentation Frameworks (BAFs). Each argument…

cs.CL2026

Luminol-AIDetect: Fast Zero-shot Machine-Generated Text Detection based on Perplexity under Text Shuffling

Lucio La Cava, Andrea Tagarelli

Machine-generated text (MGT) detection requires identifying structurally invariant signals across generation models, rather than relying on model-specific fingerprints. In this res…

cs.AI2026

LLM-based Argument Mining meets Argumentation and Description Logics: a Unified Framework for Reasoning about Debates

Gianvincenzo Alfano, Sergio Greco, Lucio La Cava +2

Large Language Models (LLMs) achieve strong performance in analyzing and generating text, yet they struggle with explicit, transparent, and verifiable reasoning over complex texts…

cs.CL2026

Culturally Grounded Personas in Large Language Models: Characterization and Alignment with Socio-Psychological Value Frameworks

Candida M. Greco, Lucio La Cava, Andrea Tagarelli

Despite the growing utility of Large Language Models (LLMs) for simulating human behavior, the extent to which these synthetic personas accurately reflect world and moral value sys…