Politicized Attention Shifts Amplify Polarization in the Information Ecosystem during California Wildfires

2026-03-19

AI Summary

This study examines the dynamics of public discourse during California’s wildfire crises, wherein government agencies confront fragmented public evaluations and communication breakdowns amid a polarized social media environment. Integrating over 1.3 million relevant posts from 2016 to 2025, the research employs large-scale text analysis, network modularity detection, stance identification, and interaction-weighted visibility metrics to uncover a systematic shift in public attention—from emergency response agencies toward political figures. Findings reveal that political actors are disproportionately subjected to negative sentiment, a trend sharply amplified by extreme wildfire events. Highly interactive negative content dominates public discourse, coalescing within polarized communities and reinforcing reputational divergence among institutions. These results provide empirical evidence for understanding structural shifts in crisis communication under algorithmically mediated information ecosystems.

Technology Category

• Natural Language Processing: Discourse, Pragmatics & Argument Mining
• Multiagent Systems: Agent Communication
• Application Domains: Humanities & Computational Social Science

Application Category

• Social Networks and Social Media: Media and governance, opinion dynamics, filter bubbles, polarization
• Web Mining and Content Analysis: Sentiment analysis and opinion mining
• Responsible Web: Human-perceived consequences of algorithmic deployment on the web

Abstract

Wildfires require governments to communicate under conditions of urgency, uncertainty, and intense public scrutiny, yet such communication now unfolds within a digitally mediated environment shaped by polarization and engagement-based amplification. We analyze over 1.3 million wildfire-related social media posts from California (2016-2025) to examine how institutional actors are evaluated within this landscape. Users' stance toward government is actor-specific: individual political officials are discussed more negatively than operational agencies across federal, state, and local levels, and this gap widens during extreme wildfire events. Moreover, interaction networks become increasingly modular over time, consolidating into polarized communities in which negativity concentrates within cohesive clusters. Engagement-weighted measures show that highly interactive negative content disproportionately shapes visible discourse, while crisis periods redirect attention from emergency agencies to high-profile political figures, reinforcing reputational divergence. These findings indicate that wildfire communication operates within a polarized, engagement-ranked ecosystem in which evaluative tone, network structure, and visibility dynamics jointly shape institutional perception. Effective disaster communication should therefore account for the structural conditions of contemporary digital public communities.

Problem

• polarization
• wildfire communication
• social media
• institutional perception
• attention shifts

Innovation

• politicized attention
• engagement-weighted visibility
• polarized network structure
• institutional evaluation
• crisis communication