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
Showing 2026Show all

7 papers · 1 filter

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…