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The Digital Services Act and the psychology of social media content reporting: drawing legal inferences from a behavioural experiment on notice-and-action mechanisms

Published online by Cambridge University Press:  09 September 2025

Pietro Ortolani*
Affiliation:
Faculty of Law, Radboud University, Nijmegen, The Netherlands
Sarah Vahed
Affiliation:
Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
Catalina Goanta
Affiliation:
Molengraaff Institute for Private Law, Utrecht University School of Law, Utrecht, The Netherlands
Alan G. Sanfey
Affiliation:
Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands Behavioural Science Institute, Radboud University, Nijmegen, The Netherlands
*
Corresponding author: Pietro Ortolani; Email: pietro.ortolani@ru.nl
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Abstract

The Digital Services Act (DSA) is a critical piece of the procedural puzzle of generating a safe social media environment. This article highlights how the DSA’s ambitious provisions regarding content moderation rely on psychological assumptions and inferences about behaviour, yet do so in the absence of extensive empirical behavioural evidence. The difference between how individuals are assumed to behave and evidence on how they actually behave is a crucial element in the complex landscape of effectively moderating content on social media. For this reason, the article sheds light on the value of behavioural research in understanding preferences, incentives and decisions, and the role of such information in interpreting and developing legal provisions. Specifically, through explaining the results of a novel experimental study designed with the DSA in mind, the article offers insights on certain decision-making processes, and how this evidence can steer away from unfounded suppositions to help interpret and apply the DSA against the reality of behaviour.

Information

Type
Core analysis
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided that no alterations are made and the original article is properly cited. The written permission of Cambridge University Press must be obtained prior to any commercial use and/or adaptation of the article.
Copyright
© The Author(s), 2025. Published by Cambridge University Press