187 citations · 271 across the 11 of their papers we have counts for
12 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…
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…
Quantifying Feature Importance for Online Content Moderation
Benedetta Tessa, Alejandro Moreo, Stefano Cresci +2
Accurately estimating how users respond to moderation interventions is paramount for developing effective and user-centred moderation strategies. However, this requires a clear und…
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…
Unveiling Online Conspiracy Theorists: a Text-Based Approach and Characterization
Alessandra Recordare, Guglielmo Cola, Tiziano Fagni +1
In today's digital landscape, the proliferation of conspiracy theories within the disinformation ecosystem of online platforms represents a growing concern. This paper delves into…
The DSA Transparency Database: Auditing Self-reported Moderation Actions by Social Media
Amaury Trujillo, Tiziano Fagni, Stefano Cresci
Since September 2023, the Digital Services Act (DSA) obliges large online platforms to submit detailed data on each moderation action they take within the European Union (EU) to th…
Personalized Interventions for Online Moderation
Stefano Cresci, Amaury Trujillo, Tiziano Fagni
Current online moderation follows a one-size-fits-all approach, where each intervention is applied in the same way to all users. This naive approach is challenged by established so…
Tweets2Stance: Users stance detection exploiting Zero-Shot Learning Algorithms on Tweets
Margherita Gambini, Tiziano Fagni, Caterina Senette +1
In the last years there has been a growing attention towards predicting the political orientation of active social media users, being this of great help to study political forecast…
Fine-Grained Prediction of Political Leaning on Social Media with Unsupervised Deep Learning
Tiziano Fagni, Stefano Cresci
Predicting the political leaning of social media users is an increasingly popular task, given its usefulness for electoral forecasts, opinion dynamics models and for studying the p…
TweepFake: about Detecting Deepfake Tweets
Tiziano Fagni, Fabrizio Falchi, Margherita Gambini +2
The recent advances in language modeling significantly improved the generative capabilities of deep neural models: in 2019 OpenAI released GPT-2, a pre-trained language model that…
JaTeCS an open-source JAva TExt Categorization System
Andrea Esuli, Tiziano Fagni, Alejandro Moreo Fernandez
JaTeCS is an open source Java library that supports research on automatic text categorization and other related problems, such as ordinal regression and quantification, which are o…
Picture It In Your Mind: Generating High Level Visual Representations From Textual Descriptions
Fabio Carrara, Andrea Esuli, Tiziano Fagni +2
In this paper we tackle the problem of image search when the query is a short textual description of the image the user is looking for. We choose to implement the actual search pro…