Digital Tribalism and the Collapse of Consensus in Finnish Municipal Climate
Authors
Rodrigues K. Torres1 & Araújo H. Rodriguez2 ,1Researcher, Innovation Management Institute, Honduras, 2Manager, Business Strategy Center, Nicaragua, ()Files
Abstract
A computational text-analysis of 14,000 citizen comments across 11 climate assemblies shows that algorithmic recommendation engines amplified partisan clusters, reducing deliberative reciprocity by 34 %. Interventions using bridging bots restored cross-cutting discourse, demonstrating scalable pathways to depolarize e-participation.