7 citations · 10 across the 13 of their papers we have counts for
14 papers
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. The dataset contains 3,360 videos from 939 channels, each starting wit…
Traceable by Design: An LLM Pipeline and Dashboard for EU Regulatory Consultation Analysis
Thales Bertaglia, Haoyang Gui, Catalina Goanta +1
Public consultations generate large volumes of data in the form of stakeholder submissions that are practically unfeasible to analyse manually. We present an end-to-end LLM-based p…
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…
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…
Computational Studies in Influencer Marketing: A Systematic Literature Review
Haoyang Gui, Thales Bertaglia, Catalina Goanta +1
Influencer marketing has become a crucial feature of digital marketing strategies. Despite its rapid growth and algorithmic relevance, the field of computational studies in influen…
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…
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…
TikTok Search Recommendations: Governance and Research Challenges
Taylor Annabell, Robert Gorwa, Rebecca Scharlach +2
Like other social media, TikTok is embracing its use as a search engine, developing search products to steer users to produce searchable content and engage in content discovery. Th…
The Great Data Standoff: Researchers vs. Platforms Under the Digital Services Act
Catalina Goanta, Savvas Zannettou, Rishabh Kaushal +6
To facilitate accountability and transparency, the Digital Services Act (DSA) sets up a process through which Very Large Online Platforms (VLOPs) need to grant vetted researchers a…
Across Platforms and Languages: Dutch Influencers and Legal Disclosures on Instagram, YouTube and TikTok
Haoyang Gui, Thales Bertaglia, Catalina Goanta +2
Content monetization on social media fuels a growing influencer economy. Influencer marketing remains largely undisclosed or inappropriately disclosed on social media. Non-disclosu…
The Monetisation of Toxicity: Analysing YouTube Content Creators and Controversy-Driven Engagement
Thales Bertaglia, Catalina Goanta, Adriana Iamnitchi
YouTube is a major social media platform that plays a significant role in digital culture, with content creators at its core. These creators often engage in controversial behaviour…
Influencer Self-Disclosure Practices on Instagram: A Multi-Country Longitudinal Study
Thales Bertaglia, Catalina Goanta, Gerasimos Spanakis +1
This paper presents a longitudinal study of more than ten years of activity on Instagram consisting of over a million posts by 400 content creators from four countries: the US, Bra…
Leveraging GPT for the Generation of Multi-Platform Social Media Datasets for Research
Henry Tari, Danial Khan, Justus Rutten +4
Social media datasets are essential for research on disinformation, influence operations, social sensing, hate speech detection, cyberbullying, and other significant topics. Howeve…
InstaSynth: Opportunities and Challenges in Generating Synthetic Instagram Data with ChatGPT for Sponsored Content Detection
Thales Bertaglia, Lily Heisig, Rishabh Kaushal +1
Large Language Models (LLMs) raise concerns about lowering the cost of generating texts that could be used for unethical or illegal purposes, especially on social media. This paper…