The recent negotiations regarding TikTok’s operations within the United States focus on restructuring its data management practices. The primary concern is ensuring that US user data is stored and processed domestically, which leads to the retraining of TikTok’s algorithm on US data sources. This adjustment aims to enhance data security and comply with regulatory standards, but it also raises questions about potential impacts on the app’s content delivery and personalization capabilities. 2 The restructuring involves creating a separate data infrastructure for US users, which may influence the performative capabilities of the platform’s algorithms. By isolating US data, the platform’s content recommendation system could become less tailored to individual preferences, potentially resulting in a more generic user experience. This can be viewed as a trade-off between improved data security and maintaining high levels of personalization that contribute to user engagement and the app’s relevance in the social media landscape. 2 The broader implications of this restructuring include changes in the platform’s relevance and effectiveness within the US market. If the algorithm becomes less responsive to individual preferences, users might perceive the platform as less engaging or innovative. Conversely, the emphasis on data security and regulatory compliance might reinforce public trust in the platform’s long-term viability, possibly offsetting any reduction in personalization appeal. The outcome depends on how well the platform balances security measures with the need to sustain user engagement and content relevance in the face of new data management practices.