Echo Chamber

Echo chambers, online environments where individuals primarily encounter information reinforcing pre-existing beliefs, are a growing area of research focusing on understanding their formation and impact on opinion polarization and misinformation spread. Current studies utilize large language models (LLMs) to simulate echo chamber dynamics, employing various network structures and algorithms to analyze opinion evolution and explore mitigation strategies like nudges or debiasing techniques. This research is crucial for understanding how algorithmic biases and human tendencies interact to create echo chambers, with implications for improving social media algorithms, combating misinformation, and fostering more productive online discourse.