Computational politics is the intersection between computer science and political science. The area involves the usage of computational methods, such as analysis tools and prediction methods, to present the solutions to political sciences questions. Researchers in this area use large sets of data to study user behavior. Common examples of such works are building a classifier to predict users' political bias in social media or finding political bias in the news. This discipline is closely related with digital sociology. However, the main focus of computational politics is on political related problems and analysis.
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