Majority Illusion

Majority illusion describes the discrepancy between the overall majority opinion in a network and the perceived majority within an individual's immediate social circle, leading to inaccurate assessments of prevailing sentiment. Current research focuses on algorithmic approaches to detect and correct this illusion, exploring both the computational complexity of these tasks and the dynamics of opinion diffusion under various majority-rule models, including analyses of stabilization time and influential nodes. Understanding majority illusion is crucial for improving the design of social systems and algorithms that rely on aggregated opinions, impacting fields such as social network analysis, election modeling, and consensus-building processes.