.This analysis explores an alternative cause for societal fragmentation and division, focusing on the model of information dissemination between the sender (channel) and receiver (individual) based on their positions on issues. It posits that individuals gravitate towards messages aligning with their existing viewpoints. The model concludes that fragmentation naturally arises with wider information dissemination, increased knowledge consumption, and freedom in society. While social media algorithms intensify polarization, they also impose limits. The model suggests that despite holding polarized views, societal coherence can still be maintained. This perspective challenges the sole blame often placed on social media algorithms for increased polarization.