7 citations · 10 across the 13 of their papers we have counts for
6 papers · 1 filter
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…