6 papers
Who Would You Vote For? Auditing Political Alignment in LLMs: An Italian Case-Study
Simone Mungari
As users increasingly turn to Large Language Models (LLMs) for information and advice on political matters, particularly during election periods, the political preferences expresse…
Is Grokipedia Right-Leaning? Comparing Political Framing in Wikipedia and Grokipedia on Controversial Topics
Philipp Eibl, Erica Coppolillo, Simone Mungari +1
Online encyclopedias are central to contemporary information infrastructures and have become focal points of debates over ideological bias. Wikipedia, in particular, has long been…
Unexpected Knowledge: Auditing Wikipedia and Grokipedia Search Recommendations
Erica Coppolillo, Simone Mungari
Encyclopedic knowledge platforms are key gateways through which users explore information online. The recent release of Grokipedia, a fully AI-generated encyclopedia, introduces a…
ARES: Anomaly Recognition Model For Edge Streams
Simone Mungari, Albert Bifet, Giuseppe Manco +1
Many real-world scenarios involving streaming information can be represented as temporal graphs, where data flows through dynamic changes in edges over time. Anomaly detection in t…
Combining Euclidean and Hyperbolic Representations for Node-level Anomaly Detection
Simone Mungari, Ettore Ritacco, Pietro Sabatino
Node-level anomaly detection (NAD) is challenging due to diverse structural patterns and feature distributions. As such, NAD is a critical task with several applications which rang…
Flexible Generation of Preference Data for Recommendation Analysis
Simone Mungari, Erica Coppolillo, Ettore Ritacco +1
Simulating a recommendation system in a controlled environment, to identify specific behaviors and user preferences, requires highly flexible synthetic data generation models capab…