Dual pathways of empathy and polarization: Reconstructing the Great East Japan Earthquake through interactive news platforms
Ko Yamada
What the paper says
While disaster communication research has predominantly focused on acute crisis phases, how agendas are co-constructed during “milestone moments” of collective remembrance remains understudied. This study addresses this gap by analyzing Japan’s Yahoo! News—a portal aggregator that facilitates the isolation of content-driven responses from the algorithmic and network-structural confounds prevalent on social media. Using content analysis and BERT-based machine learning on 190 articles and 67,563 comments regarding the 10th anniversary of the Great East Japan Earthquake, we identified dual pathways of public engagement. Human-interest framing consistently elicited empathetic, commemorative discourse with high reader approval, functioning as bottom-up emotional risk communication, whereas politically framed coverage generated polarized reactions with significantly lower approval rates. Co-occurrence analysis showed that disaster narratives integrated multiple interconnected themes, while nuclear power and Tokyo Olympics coverage remained isolated. Cross-tabulation confirmed strong content–response correspondence, demonstrating that specific news focuses systematically trigger predictable response patterns. These findings extend agenda-setting theory in two ways: media influence operates through emotional and cognitive frames embedded in content rather than merely through topic salience, and platform architecture functions as a critical moderating variable. The study proposes four complementary roles for disaster coverage beyond information provision: forming emotional memories, facilitating political deliberation, building interactive knowledge, and fostering future-oriented social imagination. These findings offer practical implications for platform-sensitive disaster communication that leverages empathetic framing while mitigating polarization. • BERT-based machine learning helps classify 67,563 disaster-related comments. • Anniversary coverage on Yahoo! News Japan features dramatic, human-interest storytelling. • Human-interest reporting catalyzes bottom-up memory sharing and empathy online. • Political disaster coverage generates polarized reactions with lower approval rates. • Comment sections act as bottom-up hubs for practical knowledge transfer.
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.50 × 0.4 = 0.20 |
| M · momentum | 0.50 × 0.15 = 0.07 |
| V · venue signal | 0.50 × 0.05 = 0.03 |
| R · text relevance † | 0.50 × 0.4 = 0.20 |
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.