Evidence map›Paper›PMID 39909536›Full record

ArticleRisk analysis : an official publication of the Society for Risk Analysis2025

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

Cormac Bryce, Michael Dowling, Suwan Cheng Long, Jamie K Wardman

Abstract read
In one paragraph

Article in Risk analysis : an official publication of the Society for Risk Analysis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Media amplification under the floodlight: Contextualizing 20 years of US risk news.Risk analysis : an official publication of the Society for Risk Analysis · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Cormac BryceBayes Business School, City St George's, University of London, London, UK.
Michael DowlingDCU Business School, Dublin City University, Dublin, Ireland.
Suwan Cheng LongIESEG School of Management, University of Lille, CNRS, UMR 9221 - LEM- Lille Economie Management, Lille, France.
Jamie K WardmanUniversity of Leicester School of Business, University of Leicester, Leicester, UK.ORCID https://orcid.org/0000-0002-3609-7591

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

mediarisk communicationsocial amplification of risktopic modeling

Identifiers

PMID39909536
PMCPMC12396942

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.