The DSA Transparency Database: Auditing Self-reported Moderation Actions by Social Media
Not on the map. Why?
Abstract (arXiv)
Since September 2023, the Digital Services Act (DSA) obliges large online platforms to submit detailed data on each moderation action they take within the European Union (EU) to the DSA Transparency Database. From its inception, this centralized database has sparked scholarly interest as an unprecedented and potentially unique trove of data on real-world online moderation. Here, we thoroughly analyze all 353.12M records submitted by the eight largest social media platforms in the EU during the first 100 days of the database. Specifically, we conduct a platform-wise comparative study of their: volume of moderation actions, grounds for decision, types of applied restrictions, types of moderated content, timeliness in undertaking and submitting moderation actions, and use of automation. Furthermore, we systematically cross-check the contents of the database with the platforms' own transparency reports. Our analyses reveal that (i) the platforms adhered only in part to the philosophy and structure of the database, (ii) the structure of the database is partially inadequate for the platforms' reporting needs, (iii) the platforms exhibited substantial differences in their moderation actions, (iv) a remarkable fraction of the database data is inconsistent, (v) the platform X (formerly Twitter) presents the most inconsistencies. Our findings have far-reaching implications for policymakers and scholars across diverse disciplines. They offer guidance for future regulations that cater to the reporting needs of online platforms in general, but also highlight opportunities to improve and refine the database itself.
Key facts. Cited by 10 papers in the map (data through 14 Oct 2026). Builds on 13 of its 64 references that are in the map. First posted on arXiv 16 Dec 2023.
Builds on
13 of 64 references.
References · 13
- 2020The Pushshift Reddit Datasetcited by 292
- 2022A New Generation of Perspective API: Efficient Multilingual Character-level Transformerscited by 185
- 2021A Survey on Multimodal Disinformation Detectioncited by 47
- 2021Automatic Evaluation and Moderation of Open-domain Dialogue Systemscited by 28
- 2020Quarantined! Examining the Effects of a Community-Wide Moderation Intervention on Redditcited by 16
- 2022Make Reddit Great Again: Assessing Community Effects of Moderation Interventions on r/The_Donaldcited by 13
- 2021Reconsidering Tweets: Intervening During Tweet Creation Decreases Offensive Contentcited by 11
- 2021"I Won the Election!": An Empirical Analysis of Soft Moderation Interventions on Twittercited by 10
- 2021Exploring Lightweight Interventions at Posting Time to Reduce the Sharing of Misinformation on Social Mediacited by 8
- 2022How does Twitter account moderation work? Dynamics of account creation and suspension on Twitter during major geopolitical eventscited by 6
- 2023Content Moderation on Social Media in the EU: Insights From the DSA Transparency Databasecited by 5
- 2022One of Many: Assessing User-level Effects of Moderation Interventions on r/The_Donaldcited by 4
1 more
- 2020Setting the Record Straighter on Shadow Banningcited by 1
Built on by
Citing papers per year: 2024: 2; 2025: 2; 2026: 6.
10 papers.
- 2024Contextualized Counterspeech: Strategies for Adaptation, Personalization, and Evaluationcited by 15
- 2025HatePRISM: Policies, Platforms, and Research Integration. Advancing NLP for Hate Speech Proactive Mitigationcited by 1
- 2026"Is This Not Enough?": Asymmetries in Institutional Accountability and Collective Sensemaking in the Case of Canada's Algorithmic Visa Triage Systemcited by 1
- 2026Can Foundation Models Moderate Online Content? Evaluating Instruction- vs. Example-Driven Policy Operationalizationcited by 1
- 2024Demarked: A Strategy for Enhanced Abusive Speech Moderation through Counterspeech, Detoxification, and Message Managementcited by 0
- 2025Quantifying Feature Importance for Online Content Moderationcited by 0
- 2026Bureaucratic Silences: What the Canadian AI Register Reveals, Omits, and Obscurescited by 0
- 2026A Benchmark for Strategic Auditee Gaming Under Continuous Compliance Monitoringcited by 0
- 2026Contextualized Counterspeech Can Be More Persuasive Than Generic Counterspeechcited by 0
- 2026FairMon: A Tool for Monitoring and Visualizing Algorithmic Fairnesscited by 0
- 2026Can Foundation Models Moderate Online Content? Evaluating Instruction- vs. Example-Driven Policy Operationalization9 Sep 2026
- 2026FairMon: A Tool for Monitoring and Visualizing Algorithmic Fairness7 Aug 2026
- 2026Contextualized Counterspeech Can Be More Persuasive Than Generic Counterspeech28 Jul 2026
- 2026"Is This Not Enough?": Asymmetries in Institutional Accountability and Collective Sensemaking in the Case of Canada's Algorithmic Visa Triage System11 Jun 2026
- 2026A Benchmark for Strategic Auditee Gaming Under Continuous Compliance Monitoring7 May 2026
- 2026Bureaucratic Silences: What the Canadian AI Register Reveals, Omits, and Obscures16 Apr 2026
- 2025Quantifying Feature Importance for Online Content Moderation22 Oct 2025
- 2025HatePRISM: Policies, Platforms, and Research Integration. Advancing NLP for Hate Speech Proactive Mitigation6 Jul 2025
- 2024Contextualized Counterspeech: Strategies for Adaptation, Personalization, and Evaluation10 Dec 2024
- 2024Demarked: A Strategy for Enhanced Abusive Speech Moderation through Counterspeech, Detoxification, and Message Management27 Jun 2024