6 citations · 6 across the 5 of their papers we have counts for
6 papers
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…
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…
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…
Automated Transparency: A Legal and Empirical Analysis of the Digital Services Act Transparency Database
Rishabh Kaushal, Jacob van de Kerkhof, Catalina Goanta +2
The Digital Services Act (DSA) is a much awaited platforms liability reform in the European Union that was adopted on 1 November 2022 with the ambition to set a global example in t…
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…