activity
20232026
most citedToxic Bias: Perspective API Misreads German as More Toxic

7 citations · 8 across the 12 of their papers we have counts for

collaborators

14 papers

cs.CY2026

Open Platform Field Experiments: Expanding the Design Space of Experimental Research on Social Media

Jordi Guillem Condom-Tibau, Giovanni Puccetti, Clara Bacciu +2

Despite a growing demand for causal evidence about social media, independent researchers remain severely constrained in their ability to conduct experiments directly on online plat…

cs.HC2026

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…

cs.CY2026

Disarranged Harmonization of Transparency Reporting by Social Media Platforms Under the Digital Services Act

Amaury Trujillo, Benedetta Tessa, Stefano Cresci

The European Commission recently introduced new regulation to harmonize transparency reporting of large online platforms under the Digital Services Act (DSA). Here, we present the…

cs.SI2026

When Transparency Falls Short: Auditing Platform Moderation During a High-Stakes Election

Benedetta Tessa, Gautam Kishore Shahi, Amaury Trujillo +1

During major political events, social media platforms encounter increased systemic risks. However, it is still unclear if and how they adjust their moderation practices in response…

cs.CY2026

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…

cs.CL2026

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…

cs.SI2026

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…

cs.CY2025★ 1 cited

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…

cs.CY2025

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…

cs.CY2025

Improving Regulatory Oversight in Online Content Moderation

Benedetta Tessa, Denise Amram, Anna Monreale +1

The European Union introduced the Digital Services Act (DSA) to address the risks associated with digital platforms and promote a safer online environment. However, despite the pot…

cs.SI2024

Misinformation and Polarization around COVID-19 vaccines in France, Germany, and Italy

Gianluca Nogara, Francesco Pierri, Stefano Cresci +2

The kick-off of vaccination campaigns in Europe, starting in late December 2020, has been followed by the online spread of controversies and conspiracies surrounding vaccine validi…

cs.SI2023★ 7 cited

Toxic Bias: Perspective API Misreads German as More Toxic

Gianluca Nogara, Francesco Pierri, Stefano Cresci +3

Proprietary public APIs play a crucial and growing role as research tools among social scientists. Among such APIs, Google's machine learning-based Perspective API is extensively u…

cs.SI2023

Dynamics of toxic behavior in the Covid-19 vaccination debate

Azza Bouleimen, Nicolò Pagan, Stefano Cresci +2

In this paper, we study the behavior of users on Online Social Networks in the context of Covid-19 vaccines in Italy. We identify two main polarized communities: Provax and Novax.…

cs.SI2023

User's Reaction Patterns in Online Social Network Communities

Azza Bouleimen, Nicolò Pagan, Stefano Cresci +3

Several one-fits-all intervention policies were introduced by the Online Social Networks (OSNs) platforms to mitigate potential harms. Nevertheless, some studies showed the limited…