algorithmic methods

Professor Christoph Kumpan and Professor Georg Ringe would like to invite you to the NAIL Research Seminar #17 with Ass. Prof. David Restrepo Amariles (HEC Paris). The event will be held in English and will take place in person. You can also participate online by registering your participation via mail.

The Digital Services Act (DSA) of the European Union targets content moderation challenges, such as the dissemination of illegal content and disinformation, which are recognized as systemic risks. This presentation delves into the effectiveness of algorithms and crowdsourced moderation in meeting the obligations of Very Large Online Platforms (VLOPs) under the DSA concerning content moderation. Specifically, it examines the propagation of disinformation via X and evaluates the effectiveness of both human and algorithmic aspects of its content moderation processes, particularly Community Notes, on the spread of such content. We have created a dataset of Community Notes and corresponding tweet data since September 2023 to analyze content moderation and tweet diffusion. Employing topic modeling and a difference-in-difference methodology, the research quantifies the impact of Community Notes on tweet diffusion, demonstrating a significant reduction. Despite the observed effectiveness, the study highlights the need for enhanced content moderation strategies to address the rapid spread of misinformation. The findings of this study are pertinent for understanding the collaboration required among legal, technological, and regulatory stakeholders to uphold the DSA.

Institutions

• Network for Artificial Intelligence and Law (NAIL)