18 citations · 29 across the 5 of their papers we have counts for
5 papers
GPT Adoption and the Impact of Disclosure Policies
Cathy Yang, David Restrepo Amariles, Leo Allen +1
Generative Pre-trained Transformers (GPTs), particularly Large Language Models (LLMs) like ChatGPT, have proven effective in content generation and productivity enhancement. Howeve…
Community-based fact-checking reduces the spread of misleading posts on social media
Yuwei Chuai, Moritz Pilarski, Thomas Renault +4
Community-based fact-checking is a promising approach to verify social media content and correct misleading posts at scale. Yet, causal evidence regarding its effectiveness in redu…
Collaboratively adding context to social media posts reduces the sharing of false news
Thomas Renault, David Restrepo Amariles, Aurore Troussel
We build a novel database of around 285,000 notes from the Twitter Community Notes program to analyze the causal influence of appending contextual information to potentially mislea…
Lex Rosetta: Transfer of Predictive Models Across Languages, Jurisdictions, and Legal Domains
Jaromir Savelka, Hannes Westermann, Karim Benyekhlef +15
In this paper, we examine the use of multi-lingual sentence embeddings to transfer predictive models for functional segmentation of adjudicatory decisions across jurisdictions, leg…
Compliance Generation for Privacy Documents under GDPR: A Roadmap for Implementing Automation and Machine Learning
David Restrepo Amariles, Aurore Clément Troussel, Rajaa El Hamdani
Most prominent research today addresses compliance with data protection laws through consumer-centric and public-regulatory approaches. We shift this perspective with the Privatech…