Lecture
This lecture discusses the detection and combat of polarization in online media, focusing on the emergence of polarization, echo chambers, and misinformation. The instructor explores the causes of polarization, the polarization cycle, and research questions related to detecting and combating polarization. Various algorithms for discovering polarization in signed networks are presented, along with their formulations and theoretical results. The lecture also covers topics such as learning ideological leanings, maximizing diversity in social networks, and the ethical considerations surrounding combating polarization in online media.