Navigating the digital spectrum: Assessing political bias, stability, and downstream fairness in Large Language Models

Large Language Models are increasingly deployed as information intermediaries, yet measuring their political behavior remains fragile because questionnaire results mix model dispositions with measurement artifacts and response-elicitation biases. We introduce a robust Political Compass Test evaluati