The Case for a Legal Compliance API for the Enforcement of the EU's Digital Services Act on Social Media Platforms

• URL: http://arxiv.org/abs/2205.06666v1
• Date: Fri, 13 May 2022 14:16:23 GMT
• Title: The Case for a Legal Compliance API for the Enforcement of the EU's Digital Services Act on Social Media Platforms
• Authors: Catalina Goanta, Thales Bertaglia, Adriana Iamnitchi
• Abstract summary: This paper critically addresses issues around social media data access for the purpose of digital enforcement. It proposes the use of a legal compliance application programming interface (API) as a means to facilitate compliance with the Digital Services Act. To contextualize this discussion, the paper pursues two scenarios that exemplify the harms arising out of content monetization affecting a particularly vulnerable category of social media users.
• Score: 1.0312968200748118
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• Abstract: In the course of under a year, the European Commission has launched some of the most important regulatory proposals to date on platform governance. The Commission's goals behind cross-sectoral regulation of this sort include the protection of markets and democracies alike. While all these acts propose sophisticated rules for setting up new enforcement institutions and procedures, one aspect remains highly unclear: how digital enforcement will actually take place in practice. Focusing on the Digital Services Act (DSA), this discussion paper critically addresses issues around social media data access for the purpose of digital enforcement and proposes the use of a legal compliance application programming interface (API) as a means to facilitate compliance with the DSA and complementary European and national regulation. To contextualize this discussion, the paper pursues two scenarios that exemplify the harms arising out of content monetization affecting a particularly vulnerable category of social media users: children. The two scenarios are used to further reflect upon essential issues surrounding data access and legal compliance with the DSA and further applicable legal standards in the field of labour and consumer law.

Related papers

• HatePRISM: Policies, Platforms, and Research Integration. Advancing NLP for Hate Speech Proactive Mitigation [67.69631485036665]
  We conduct a comprehensive examination of hate speech regulations and strategies from three perspectives.<n>Our findings reveal significant inconsistencies in hate speech definitions and moderation practices across jurisdictions.<n>We suggest ideas and research direction for further exploration of a unified framework for automated hate speech moderation.
  arXiv  Detail & Related papers  (2025-07-06T11:25:23Z)
• From Reports to Reality: Testing Consistency in Instagram's Digital Services Act Compliance Data [0.0]
  The Digital Services Act (DSA) introduces rules for content moderation and platform governance in the European Union.<n>This study examined compliance with DSA requirements, focusing on Instagram.<n>We develop and apply a multi-level consistency framework to evaluate DSA compliance.
  arXiv  Detail & Related papers  (2025-07-02T15:13:25Z)
• Existing Industry Practice for the EU AI Act's General-Purpose AI Code of Practice Safety and Security Measures [0.10993800728351737]
  This report provides a detailed comparison between the measures proposed in the EU AI Act's General-Purpose AI (GPAI) Code of Practice (Third Draft) and current practices adopted by leading AI companies. As the EU moves toward enforcing binding obligations for GPAI model providers, the Code of Practice will be key to bridging legal requirements with concrete technical commitments. This report is not meant to be an indication of legal compliance nor does it take any prescriptive viewpoint about the Code of Practice or companies' policies.
  arXiv  Detail & Related papers  (2025-04-21T15:44:01Z)
• AnnoCaseLaw: A Richly-Annotated Dataset For Benchmarking Explainable Legal Judgment Prediction [56.797874973414636]
  AnnoCaseLaw is a first-of-its-kind dataset of 471 meticulously annotated U.S. Appeals Court negligence cases. Our dataset lays the groundwork for more human-aligned, explainable Legal Judgment Prediction models. Results demonstrate that LJP remains a formidable task, with application of legal precedent proving particularly difficult.
  arXiv  Detail & Related papers  (2025-02-28T19:14:48Z)
• On Algorithmic Fairness and the EU Regulations [0.2538209532048867]
  paper discusses algorithmic fairness focusing non-discrimination and important laws in the European Union (EU) Discussion is based on EU discriminations recently enacted for artificial intelligence (AI) Paper contributes to algorithmic fairness research with a few legal insights enlarging and strengthening also the growing research domain of compliance in software engineering.
  arXiv  Detail & Related papers  (2024-11-13T06:23:54Z)
• LegiLM: A Fine-Tuned Legal Language Model for Data Compliance [5.256747140296861]
  LegiLM is a novel legal language model specifically tailored for consulting on data or information compliance. It has been fine-tuned to automatically assess whether particular actions or events breach data security and privacy regulations. LegiLM excels in detecting data regulation breaches, offering sound legal justifications, and recommending necessary compliance modifications.
  arXiv  Detail & Related papers  (2024-09-09T02:06:52Z)
• Formalising Anti-Discrimination Law in Automated Decision Systems [1.560976479364936]
  We introduce a novel decision-theoretic framework grounded in anti-discrimination law of the United Kingdom. We propose the 'conditional estimation parity' metric, which accounts for estimation error and the underlying data-generating process. Our approach bridges the divide between machine learning fairness metrics and anti-discrimination law, offering a legally grounded framework for developing non-discriminatory automated decision systems.
  arXiv  Detail & Related papers  (2024-06-29T10:59:21Z)
• Demarked: A Strategy for Enhanced Abusive Speech Moderation through Counterspeech, Detoxification, and Message Management [71.99446449877038]
  We propose a more comprehensive approach called Demarcation scoring abusive speech based on four aspect -- (i) severity scale; (ii) presence of a target; (iii) context scale; (iv) legal scale. Our work aims to inform future strategies for effectively addressing abusive speech online.
  arXiv  Detail & Related papers  (2024-06-27T21:45:33Z)
• Legal Requirements Analysis [2.3349787245442966]
  We explore a variety of methods for analyzing legal requirements and exemplify them on representations. We describe possible alternatives for creating machine-analyzable representations from regulations.
  arXiv  Detail & Related papers  (2023-11-23T09:31:57Z)
• The Design and Implementation of a National AI Platform for Public Healthcare in Italy: Implications for Semantics and Interoperability [62.997667081978825]
  The Italian National Health Service is adopting Artificial Intelligence through its technical agencies. Such a vast programme requires special care in formalising the knowledge domain. Questions have been raised about the impact that AI could have on patients, practitioners, and health systems.
  arXiv  Detail & Related papers  (2023-04-24T08:00:02Z)
• SAILER: Structure-aware Pre-trained Language Model for Legal Case Retrieval [75.05173891207214]
  Legal case retrieval plays a core role in the intelligent legal system. Most existing language models have difficulty understanding the long-distance dependencies between different structures. We propose a new Structure-Aware pre-traIned language model for LEgal case Retrieval.
  arXiv  Detail & Related papers  (2023-04-22T10:47:01Z)
• A Juridicidade e a Regulamenta\c{c}\~ao dos Dark Patterns [0.0]
  The work aims to address whether Dark Patterns are legal or illegal in the face of Brazilian data protection and consumer law. Although some implementations are capable of producing damage and violating rights in some cases the mere declaration of the illegality of these techniques is an insufficient solution.
  arXiv  Detail & Related papers  (2023-02-17T12:13:13Z)
• Regulating Gatekeeper AI and Data: Transparency, Access, and Fairness under the DMA, the GDPR, and beyond [2.608935407927351]
  We analyze the impact of the DMA and related EU acts on AI models and their underlying data across four key areas. We show how, based on CJEU jurisprudence, a coherent interpretation of the concept of non-discrimination in both traditional non-discrimination and competition law may be found.
  arXiv  Detail & Related papers  (2022-12-09T17:29:19Z)
• Entity Graph Extraction from Legal Acts -- a Prototype for a Use Case in Policy Design Analysis [52.77024349608834]
  This paper presents a prototype developed to serve the quantitative study of public policy design. Our system aims to automate the process of gathering legal documents, annotating them with Institutional Grammar, and using hypergraphs to analyse inter-relations between crucial entities.
  arXiv  Detail & Related papers  (2022-09-02T10:57:47Z)
• Having your Privacy Cake and Eating it Too: Platform-supported Auditing of Social Media Algorithms for Public Interest [70.02478301291264]
  Social media platforms curate access to information and opportunities, and so play a critical role in shaping public discourse. Prior studies have used black-box methods to show that these algorithms can lead to biased or discriminatory outcomes. We propose a new method for platform-supported auditing that can meet the goals of the proposed legislation.
  arXiv  Detail & Related papers  (2022-07-18T17:32:35Z)
• Transparency, Compliance, And Contestability When Code Is(n't) Law [91.85674537754346]
  Both technical security mechanisms and legal processes serve as mechanisms to deal with misbehaviour according to a set of norms. While they share general similarities, there are also clear differences in how they are defined, act, and the effect they have on subjects. This paper considers the similarities and differences between both types of mechanisms as ways of dealing with misbehaviour.
  arXiv  Detail & Related papers  (2022-05-08T18:03:07Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.