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20242026
most citedMeat-Free Day Reduces Greenhouse Gas Emissions but Poses Challenges for Customer Retention and Adherence to Dietary Guidelines

2 citations · 2 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CL2026

Beyond the Rabbit Hole: Mapping the Relational Harms of QAnon Radicalization

Bich Ngoc Doan, Gianmarco De Francisci Morales, Giuseppe Russo

Large-scale computational research on conspiracy theories has focused exclusively on believers' online behavior, leaving the harm experienced by those closest to them under-examine…

econ.GN2025

Carrot, stick, or both? Price incentives for sustainable food choice in competitive environments

Francesco Salvi, Giuseppe Russo, Adam Barla +2

Meat consumption is a major driver of global greenhouse gas emissions. While pricing interventions have shown potential to reduce meat intake, previous studies have focused on high…

cs.CL2025

Valid Survey Simulations with Limited Human Data: The Roles of Prompting, Fine-Tuning, and Rectification

Stefan Krsteski, Giuseppe Russo, Serina Chang +2

Surveys provide valuable insights into public opinion and behavior, but their execution is costly and slow. Large language models (LLMs) have been proposed as a scalable, low-cost…

cs.SI2025

Does Content Moderation Lead Users Away from Fringe Movements? Evidence from a Recovery Community

Giuseppe Russo, Maciej Styczen, Manoel Horta Ribeiro +1

Online platforms have sanctioned individuals and communities associated with fringe movements linked to hate speech, violence, and terrorism, but can these sanctions contribute to…

cs.CY2025★ 2 cited

Meat-Free Day Reduces Greenhouse Gas Emissions but Poses Challenges for Customer Retention and Adherence to Dietary Guidelines

Giuseppe Russo, Kristina Gligorić, Vincent Moreau +1

Reducing meat consumption is crucial for achieving global environmental and nutritional targets. Meat-Free Day (MFD) is a widely adopted strategy to address this challenge by encou…

cs.CL2024

Self-Recognition in Language Models

Tim R. Davidson, Viacheslav Surkov, Veniamin Veselovsky +3

A rapidly growing number of applications rely on a small set of closed-source language models (LMs). This dependency might introduce novel security risks if LMs develop self-recogn…