When Transparency Falls Short: Auditing Platform Moderation During a High-Stakes Election

2026-04-21

AI Summary

It remains unclear whether social media platforms adapt their content moderation strategies in response to systemic risks during major political events. This study presents the first large-scale compliance audit and policy evaluation leveraging the Digital Services Act transparency database, analyzing 1.58 billion self-reported moderation actions across eight platforms over an eight-month period surrounding the 2024 European Parliament elections. The findings reveal no significant shifts in platform moderation behavior during this critical period, highlighting the limitations of current self-regulatory mechanisms in effectively responding to high-risk events. Moreover, the results underscore that existing transparency frameworks remain insufficient to enable meaningful accountability, suggesting a pressing need for more robust oversight and standardized reporting requirements under the evolving digital governance regime.

Technology Category

• Application Domains: Misinformation & Fake News
• Natural Language Processing: Fact-Checking / Misinformation Detection (NLP Focus)
• Humans and AI: Voting

Application Category

• Responsible Web: Algorithmic accountability and transparency on the web
• Social Networks and Social Media: Media and governance, opinion dynamics, filter bubbles, polarization
• Security and Privacy: Data transparency and provenance

Abstract

During major political events, social media platforms encounter increased systemic risks. However, it is still unclear if and how they adjust their moderation practices in response. The Digital Services Act Transparency Database provides-for the first time-an opportunity to systematically examine content moderation at scale, allowing researchers and policymakers to evaluate platforms' compliance and effectiveness, especially at high-stakes times. Here we analyze 1.58 billion self-reported moderation actions by the eight largest social media platforms in Europe over an eight-month period surrounding the 2024 European Parliament elections. We found that platforms did not exhibit meaningful signs of adaptation in moderation strategies as their self-reported enforcement patterns did not change significantly around the elections. This raises questions about whether platforms made any concrete adjustments, or whether the structure of the database may have masked them. On top of that, we reveal that initial concerns regarding platforms' transparency and accountability still persist one year after the launch of the Transparency Database. Our findings highlight the limits of current self-regulatory approaches and point to the need for stronger enforcement and better data access mechanisms to ensure that online platforms meet their responsibilities in protecting the democratic processes.

Problem

• platform moderation
• transparency
• election integrity
• Digital Services Act
• content moderation

Innovation

• content moderation
• transparency database
• Digital Services Act
• election integrity
• platform accountability