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Framing Democracy: Characterizing China's Negative Legitimation Propaganda using Word Embeddings

There is a large and growing literature on how authoritarian regimes use pro-government propaganda to enhance their survival. However, there has been little research on how regimes use propaganda to manipulate their citizen's beliefs about other …

Divide to Conquer: Using Wedge Narratives To Influence Diaspora Communities

Governments often engage with diasporas to promote homeland loyalty and political interests. How do home governments try to influence diaspora attitudes toward host countries? We develop a theory of diaspora-targeted propaganda that uses wedge …

Embedded Lexica: Extracting Topical Dictionaries from Unlabeled Corpora using Word Embeddings

The rise of the internet, social media, and the digitization of archives have led to an accumulation of untold quantities of unlabeled text data of relevance to the social sciences. Efficiently extracting information from those corpora frequently …

Networks of Power: Extracting Measurements of De Jure Power from Constitutional Text

A topic that has been of perennial interest in political science is that of government actors' political power. However, measurement of political power has thus far been a highly costly process involving hand-coding by experts; consequently, only the …

Over-fishing, Conflict, and the South China Sea

In this paper, we determine whether scarcity of a resource that is high in demand can induce international conflict. Specifically, we test whether the combination of fishery depletion and high fishing activity causes an increase conflict in the South …

Predicting Left-Right Positions from Hand-Coded Content Analysis using Machine Learning

The Manifesto Project’s widely used left-right index of party policy positions (RILE), built from human-coded sentences from party manifestos, can be predicted using machine learning. We demonstrate this using some simple classifiers to show that …