Party Similarity

Party similarity research focuses on quantifying the agreement or disagreement between political entities, such as parties, based on their expressed positions or actions. Current research explores various methods for achieving this, including leveraging text analysis of manifestos and social media posts, employing Bayesian networks for collaborative inference across multiple data sources, and developing novel algorithms to optimize text representations for accurate similarity prediction. These advancements improve the ability to analyze political landscapes, offering valuable insights for political scientists and potentially informing more effective political strategies and policy analysis.