Media amplification under the floodlight: Contextualizing 20 years of US risk news

This paper addresses the question of identifying and distinguishing risk amplification incidents and patterns in the news media. To meet this objective, our study incorporates a novel "floodlight" approach utilizing the Society for Risk Analysis Glossary in conjunction with topic modeling and time-series analysis, to investigate risk-focused stories within a corpus of 271,854 US news articles over the past two decades. We find that risk amplification in the US news media is concentrated around seven core risk news categories-business, domestic affairs, entertainment, environment, geopolitics, health, and technology-which also vary in the risk-related terms that they predominantly employ. We also identify 14 signal events that can be distinguished relative to general risk news within their categories. Across these events, the "War on Terror" and COVID-19 are seen to display uniquely dynamic media reporting patterns, including a systemic influence between risk news categories and the attenuation of other risk news. We discuss possible explanations for these findings along with their wider research and policy implications.

Authors

Institutions

Publication Details

Journal
Risk Analysis
Published
2025-02-05
DOI
https://doi.org/10.1111/risa.17701
Citations
2
Primary Topic
Risk Perception and Management
Type
article
Field-Weighted Citation Impact
8.40
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Media amplification under the floodlight: Contextualizing 20 years of US risk news

Jamie K. Wardman, Michael Dowling, Cormac Bryce, Suwan Long
2 citations
Risk Analysis
Risk Perception and Management
8.40
article

Media amplification under the floodlight: Contextualizing 20 years of US risk news

Jamie K. Wardman, Michael Dowling, Cormac Bryce, Suwan Long
article en
2 citations

Abstract

This paper addresses the question of identifying and distinguishing risk amplification incidents and patterns in the news media. To meet this objective, our study incorporates a novel "floodlight" approach utilizing the Society for Risk Analysis Glossary in conjunction with topic modeling and time-series analysis, to investigate risk-focused stories within a corpus of 271,854 US news articles over the past two decades. We find that risk amplification in the US news media is concentrated around seven core risk news categories-business, domestic affairs, entertainment, environment, geopolitics, health, and technology-which also vary in the risk-related terms that they predominantly employ. We also identify 14 signal events that can be distinguished relative to general risk news within their categories. Across these events, the "War on Terror" and COVID-19 are seen to display uniquely dynamic media reporting patterns, including a systemic influence between risk news categories and the attenuation of other risk news. We discuss possible explanations for these findings along with their wider research and policy implications.

Risk AnalysisVol. 45(7)
Centre National de la Recherche Scientifique (FR), University of Leicester (GB), St George's, University of London (GB), Université de Lille (FR), Institut d'Economie Scientifique Et de Gestion (FR), Lille Économie Management (FR), Dublin City University (IE), City St George's, University of London (GB)
Openalex Percentile: Top 4%
Risk Perception and Management
8.40
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Media amplification under the floodlight: Contextualizing 20 years of US risk news — Jamie K. Wardman, Michael Dowling, et al. · Risk Analysis (2025) | TGRS Research Map | TGRS