TikTok’s Research API: Problems Without Explanations
Summary
This paper offers an early empirical evaluation of TikTok’s Research API, which the platform expanded in July 2023 to comply with the Digital Services Act’s (DSA) obligations on Very Large Online Platforms (VLOPs) to facilitate independent researcher access to data. The authors argue that, despite the expansion, the API falls well short of the transparency and accessibility envisioned by the DSA: it exhibits persistent limitations and inconsistencies that undermine its usefulness for studying systemic risks on the platform. The work positions TikTok’s API as a case of compliance gesture rather than substantive transparency.
Key Contributions
- An early empirical assessment of TikTok’s DSA-driven Research API expansion in the European context.
- Documentation of concrete shortcomings — limitations, inconsistencies, and gaps — in platform-provided research access mechanisms.
- A contribution to ongoing policy and academic debates over what meaningful researcher data access under the DSA should look like.
Methods
The authors empirically test and assess TikTok’s Research API access from a European researcher perspective, analyzing its features, limitations, and inconsistencies relative to the data accessibility obligations imposed by the DSA. Specific procedural details are not provided in the available material.
Findings
- TikTok’s expanded Research API does not adequately fulfill the data accessibility obligations of the DSA.
- The API contains persistent limitations and inconsistencies even after its July 2023 expansion.
- These shortcomings materially constrain researchers’ ability to study transparency and systemic risks on the platform.
- VLOP compliance gestures may diverge significantly from the substantive transparency goals envisioned by regulators.
Connections
This work sits at the center of a growing body of critical scrutiny of platform-provided research APIs and DSA-era data access mechanisms; it pairs directly with broader critiques of API-mediated research such as Rieder2025-ju and Freelon2024-sc, and complements platform- and policy-focused analyses of access regimes like Vincent_undated-re and Schiffrin_undated-gi. It also speaks to empirical TikTok-focused research that depends on (or works around) such APIs, including Jurg2025-ur and Votta2025-xz.