4 papers
Drowning in AI Slop: How Social Media Platforms (Do Not) Label AI and Deepfake Content under EU law
Bram Rijsbosch, Luka Bekavac, Henry Tari +2
AI labels are emerging as a primary safeguard for transparency about AI-generated content on social media, including under the EU Digital Services Act and AI Act. Yet, limited syst…
Measuring Privacy vs. Fidelity in Synthetic Social Media Datasets
Henry Tari, Adriana Iamnitchi
Synthetic data is increasingly used to support research without exposing sensitive user content. Social media data is one of the types of datasets that would hugely benefit from re…
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…
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…