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Harnessing the Media: A Computational Approach to Studying Media and Politics in China

Abstract

My dissertation employs computational methods to explore the complex relationship between media and politics in modern China. It consists of three interconnected studies. First, I analyze how the government uses newspapers to boost its legitimacy, focusing on the publicity of punitive actions against corrupt local officials. Second, I examine intra-party dynamics, revealing how media narratives on corruption are used to weaken rival factions within the Chinese Communist Party. Lastly, I explore the state's control over social media, specifically the implications of geographic tagging in online discourse on public matters. Overall, my work offers a data-driven insight into the intricate interplay of media, political actors, and societal norms in China.

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