2024
EMNLP
EMNLP 2024
LLMs to the Rescue: Explaining DSA Statements of Reason with Platform’s Terms of Services
Abstract
AbstractThe Digital Services Act (DSA) requires online platforms in the EU to provide “statements of reason” (SoRs) when restricting user content, but their effectiveness in ensuring transparency is still debated due to vague and complex terms of service (ToS). This paper explores the use of NLP techniques, specifically multi-agent systems based on large language models (LLMs), to clarify SoRs by linking them to relevant ToS sections. Analysing SoRs from platforms like Booking.com, Reddit, and LinkedIn, our findings show that LLMs can enhance the interpretability of content moderation decisions, improving user understanding and engagement with DSA requirements.
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Keyword Pioneer
— statements of reason
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio