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Post-Post-API Age: Studying Digital Platforms in Scant Data Access Times

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arxiv 2505.09877 v1 pith:2LHG6LEF submitted 2025-05-15 cs.HC cs.CYcs.SI

classification cs.HCcs.CYcs.SI
keywords dataaccessplatformsdigitalresearcherschallengescomprehensivemedia
verification ladder T0 review T1 audit T2 compute T3 formal
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Over the past decade, data provided by digital platforms has informed substantial research in HCI to understand online human interaction and communication. Following the closure of major social media APIs that previously provided free access to large-scale data (the "post-API age"), emerging data access programs required by the European Union's Digital Services Act (DSA) have sparked optimism about increased platform transparency and renewed opportunities for comprehensive research on digital platforms, leading to the "post-post-API age." However, it remains unclear whether platforms provide adequate data access in practice. To assess how platforms make data available under the DSA, we conducted a comprehensive survey followed by in-depth interviews with 19 researchers to understand their experiences with data access in this new era. Our findings reveal significant challenges in accessing social media data, with researchers facing multiple barriers including complex API application processes, difficulties obtaining credentials, and limited API usability. These challenges have exacerbated existing institutional, regional, and financial inequities in data access. Based on these insights, we provide actionable recommendations for platforms, researchers, and policymakers to foster more equitable and effective data access, while encouraging broader dialogue within the CSCW community around interdisciplinary and multi-stakeholder solutions.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Auditing Meta and TikTok Research API Data Access under Article 40(12) of the Digital Services Act

    cs.CY 2026-01 conditional novelty 7.0 of 10

    TikTok and Meta research APIs expose only about 75% and 50% of user-visible posts, respectively, and strip most contextual metadata, making independent auditing of systemic risks structurally biased.

  2. The Big Ban Theory: A Pre- and Post-Intervention Dataset of Online Content Moderation Actions

    cs.SI 2026-01 conditional novelty 7.0 of 10

    A new public dataset aligns pre- and post-intervention user activity for 25 Reddit/Voat moderation actions, enabling comparative moderation research.

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