Entity Ideology

Entity ideology research investigates how ideologies are represented and propagated within large language models (LLMs) and online communities. Current work focuses on detecting and mitigating ideological biases in LLMs, often employing techniques like embedding analysis, graph neural networks, and supervised learning models to predict and filter ideological stances from text and user behavior. This research is crucial for understanding how LLMs can reflect and potentially amplify existing societal biases, impacting areas like political discourse, information dissemination, and the development of ethical AI systems.