137 citations · 265 across the 16 of their papers we have counts for
16 papers
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…
JPEGs Just Got Snipped: Croppable Signatures Against Deepfake Images
Pericle Perazzo, Massimiliano Mattei, Giuseppe Anastasi +4
Deepfakes are a type of synthetic media created using artificial intelligence, specifically deep learning algorithms. This technology can for example superimpose faces and voices o…
AMAQA: A Metadata-based QA Dataset for RAG Systems
Davide Bruni, Marco Avvenuti, Nicola Tonellotto +1
Retrieval-augmented generation (RAG) systems are widely used in question-answering (QA) tasks, but current benchmarks lack metadata integration, limiting their evaluation in scenar…
Geo-Semantic-Parsing: AI-powered geoparsing by traversing semantic knowledge graphs
Leonardo Nizzoli, Marco Avvenuti, Maurizio Tesconi +1
Online social networks convey rich information about geospatial facets of reality. However in most cases, geographic information is not explicit and structured, thus preventing its…
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…
Mind the Prompt: A Novel Benchmark for Prompt-based Class-Agnostic Counting
Luca Ciampi, Nicola Messina, Matteo Pierucci +3
Recently, object counting has shifted towards class-agnostic counting (CAC), which counts instances of arbitrary object classes never seen during model training. With advancements…
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…
A Spatio-Temporal Attentive Network for Video-Based Crowd Counting
Marco Avvenuti, Marco Bongiovanni, Luca Ciampi +3
Automatic people counting from images has recently drawn attention for urban monitoring in modern Smart Cities due to the ubiquity of surveillance camera networks. Current computer…
Coordinated Behavior on Social Media in 2019 UK General Election
Leonardo Nizzoli, Serena Tardelli, Marco Avvenuti +2
Coordinated online behaviors are an essential part of information and influence operations, as they allow a more effective disinformation's spread. Most studies on coordinated beha…
Charting the Landscape of Online Cryptocurrency Manipulation
Leonardo Nizzoli, Serena Tardelli, Marco Avvenuti +3
Cryptocurrencies represent one of the most attractive markets for financial speculation. As a consequence, they have attracted unprecedented attention on social media. Besides genu…
Towards better social crisis data with HERMES: Hybrid sensing for EmeRgency ManagEment System
Marco Avvenuti, Salvatore Bellomo, Stefano Cresci +2
People involved in mass emergencies increasingly publish information-rich contents in online social networks (OSNs), thus acting as a distributed and resilient network of human sen…
RTbust: Exploiting Temporal Patterns for Botnet Detection on Twitter
Michele Mazza, Stefano Cresci, Marco Avvenuti +2
Within OSNs, many of our supposedly online friends may instead be fake accounts called social bots, part of large groups that purposely re-share targeted content. Here, we study re…
Spotting the diffusion of New Psychoactive Substances over the Internet
Fabio Del Vigna, Marco Avvenuti, Clara Bacciu +4
Online availability and diffusion of New Psychoactive Substances (NPS) represent an emerging threat to healthcare systems. In this work, we analyse drugs forums, online shops, and…