Filter bubbles are personalized information environments created by algorithms that selectively present content based on a user's past behaviors and preferences, potentially limiting exposure to diverse perspectives. This can reinforce existing beliefs and contribute to the polarization of opinions by isolating individuals from differing viewpoints.