Mathematical Model of Information Contagion
Social networks exhibit asymmetric contagion governed by verification friction (independent peer scrutiny before retweeting) and algorithmic amplification (boost given to high-salience claims). In high-skepticism clusters, inaccurate claims face steep propagation decay, allowing verified accurate narratives to achieve durable reach across cross-ideological bridges.