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20242026
most citedThe Monetisation of Toxicity: Analysing YouTube Content Creators and Controversy-Driven Engagement

7 citations · 10 across the 13 of their papers we have counts for

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5 papers · 1 filter

cs.CL2026

ChildSafeAds Shared Task 2026: Commercial Content in Child-Facing YouTube Videos

Thales Bertaglia, Catalina Goanta, Gerasimos Spanakis +1

ChildSafeAds is a shared task on commercial content in YouTube videos likely to reach children and teenagers. It contains 3,360 videos from 939 channels. Each instance begins with…

cs.CL2026

LinGO: A Linguistic Graph Optimization Framework with LLMs for Interpreting Intents of Online Uncivil Discourse

Yuan Zhang, Thales Bertaglia

Detecting uncivil language is crucial for maintaining safe, inclusive, and democratic online spaces. Yet existing classifiers often misinterpret posts containing uncivil cues but e…

cs.CL2025

Evaluating LLM-Generated Legal Explanations for Regulatory Compliance in Social Media Influencer Marketing

Haoyang Gui, Thales Bertaglia, Taylor Annabell +3

The rise of influencer marketing has blurred boundaries between organic content and sponsored content, making the enforcement of legal rules relating to transparency challenging. E…

cs.CL2025

Towards Fairness Assessment of Dutch Hate Speech Detection

Julie Bauer, Rishabh Kaushal, Thales Bertaglia +1

Numerous studies have proposed computational methods to detect hate speech online, yet most focus on the English language and emphasize model development. In this study, we evaluat…

cs.CL2025

Towards High-Fidelity Synthetic Multi-platform Social Media Datasets via Large Language Models

Henry Tari, Nojus Sereiva, Rishabh Kaushal +2

Social media datasets are essential for research on a variety of topics, such as disinformation, influence operations, hate speech detection, or influencer marketing practices. How…