Political Perspective Detection

Political perspective detection aims to automatically identify the political leanings expressed in text or by individuals online, primarily using social media data. Current research focuses on developing robust models that leverage various data sources, including text content, social network structures (like retweets), and external knowledge bases, often employing techniques like relational graph neural networks, diffusion models, and transformer-based architectures such as BERT. These advancements improve accuracy and address challenges like style-agnostic bias detection and the preservation of authorial intent in summarization, with implications for understanding political polarization, combating misinformation, and enhancing political science research.