The case for open data access to aid tech regulation

The debate over TikTok’s future is currently driven by speculative fears regarding national security and foreign influence, rather than rigorous empirical evidence. This lack of data creates a policy environment reliant on assumptions, potentially leading to under-informed legislation that could severely impact a platform used by a significant portion of the U.S. population. Without concrete proof of harm, regulatory decisions remain vulnerable to political pressure and narrative-driven concerns rather than fact-based analysis. Current mechanisms for researchers to access TikTok data, including the platform’s API, user data takeouts, and web scraping, are severely limited and often incompatible with academic needs. The API provides insufficient sample sizes and lacks transparency, while user takeouts are logistically burdensome and prone to data gaps. These barriers prevent scholars from conducting large-scale studies to verify or debunk claims about algorithmic manipulation and foreign interference, leaving a critical gap in our understanding of the platform’s societal impact. For open data advocates, this situation highlights the urgent need for mandated data access for independent researchers, particularly within entities like TikTok’s U.S. data security subsidiary. Empowering academia with robust, open data access is essential to replacing speculation with evidence, ensuring that policy debates are grounded in reality. Ultimately, transparent data practices are not just a scientific necessity but a democratic imperative, allowing policymakers to make decisions based on verifiable impacts rather than unproven anxieties about foreign control.

Source: brookings.edu
Published on 2024-12-28

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