17 citations · 39 across the 14 of their papers we have counts for
14 papers
CT: Counterfactual Causal Reasoning for Sentiment Shifts in Social-Media Conversation Trees
S M Rafiuddin, Atriya Sen
Sentiment in social-media threads does not only vary across posts; it shifts as users react to claims, corrections, evidence, and hostility within a branching reply tree. We study…
Contextualized Counterspeech Can Be More Persuasive Than Generic Counterspeech
Lorenzo Cima, Alessio Miaschi, Amaury Trujillo +3
AI-generated counterspeech offers a scalable and effective strategy to mitigate online toxicity by promoting more constructive dialogue. Yet, existing approaches adopt a generic, o…
Assessing the Reliability of Persona-Conditioned LLMs as Synthetic Survey Respondents
Erika Elizabeth Taday Morocho, Lorenzo Cima, Tiziano Fagni +2
Using persona-conditioned LLMs as synthetic survey respondents has become a common practice in computational social science and agent-based simulations. Yet, it remains unclear whe…
A Geometric Analysis of Small-sized Language Model Hallucinations
Emanuele Ricco, Elia Onofri, Lorenzo Cima +2
Hallucinations -- plausible but factually incorrect responses -- pose a major challenge to the reliability of Large Language Models (LLMs), especially in multi-step or agentic sett…
The Big Ban Theory: A Pre- and Post-Intervention Dataset of Online Content Moderation Actions
Aldo Cerulli, Lorenzo Cima, Benedetta Tessa +2
Online platforms rely on moderation interventions to curb harmful behavior such as hate speech, toxicity, and the spread of mis- and disinformation. Yet research on the effects and…
Dark Personality Traits and Online Toxicity: Linking Self-Reports to Reddit Activity
Aldo Cerulli, Benedetta Tessa, Giuseppe La Selva +4
Dark personality traits have long been associated with antisocial and toxic online behaviors, yet their relationship with observable online activity remains unclear. We investigate…
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…
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…
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…
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…
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…
Human and LLM Biases in Hate Speech Annotations: A Socio-Demographic Analysis of Annotators and Targets
Tommaso Giorgi, Lorenzo Cima, Tiziano Fagni +2
The rise of online platforms exacerbated the spread of hate speech, demanding scalable and effective detection. However, the accuracy of hate speech detection systems heavily relie…
Beyond Trial-and-Error: Predicting User Abandonment After a Moderation Intervention
Benedetta Tessa, Lorenzo Cima, Amaury Trujillo +2
Current content moderation follows a reactive, trial-and-error approach, where interventions are applied and their effects are only measured post-hoc. In contrast, we introduce a p…
The Great Ban: Efficacy and Unintended Consequences of a Massive Deplatforming Operation on Reddit
Lorenzo Cima, Amaury Trujillo, Marco Avvenuti +1
In the current landscape of online abuses and harms, effective content moderation is necessary to cultivate safe and inclusive online spaces. Yet, the effectiveness of many moderat…