most citedContextualized Counterspeech: Strategies for Adaptation, Personalization, and Evaluation

4 citations · 4 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2025

PRISM: Phase-enhanced Radial-based Image Signature Mapping framework for fingerprinting AI-generated images

Emanuele Ricco, Elia Onofri, Lorenzo Cima +2

A critical need has emerged for generative AI: attribution methods. That is, solutions that can identify the model originating AI-generated content. This feature, generally relevan…

cs.HC2025

Emoji Reactions on Telegram: Unreliable Indicators of Emotional Resonance

Serena Tardelli, Lorenzo Alvisi, Lorenzo Cima +2

Emoji reactions are a frequently used feature of messaging platforms, yet their communicative role remains understudied. Prior work on emojis has focused predominantly on in-text u…

cs.CL2025

Hallucination Detection: A Probabilistic Framework Using Embeddings Distance Analysis

Emanuele Ricco, Lorenzo Cima, Roberto Di Pietro

Hallucinations are one of the major issues affecting LLMs, hindering their wide adoption in production systems. While current research solutions for detecting hallucinations are ma…

cs.HC20244 cited

Contextualized Counterspeech: Strategies for Adaptation, Personalization, and Evaluation

Lorenzo Cima, Alessio Miaschi, Amaury Trujillo +3

AI-generated counterspeech offers a promising and scalable strategy to curb online toxicity through direct replies that promote civil discourse. However, current counterspeech is o…

cs.CY2024

Investigating the heterogenous effects of a massive content moderation intervention via Difference-in-Differences

Lorenzo Cima, Benedetta Tessa, Stefano Cresci +2

In today's online environments, users encounter harm and abuse on a daily basis. Therefore, content moderation is crucial to ensure their safety and well-being. However, the effect…