How British Newspapers Represent Road Collisions: A Corpus-Assisted Critical Discourse Study

This paper examines how British newspapers represent road collisions, drawing on corpus-assisted critical discourse analysis of 5434 articles (4.26 million words) published over three years (2017–2019). It asks what the most frequent reference to road collisions is and how it is used, and how crash, collision, and the plural forms compare with it. Findings indicate that the term accident is the most frequent reference, and its typical collocates relate to situational context, negative consequences—particularly death and injury—and humans. The language of reporting often has the effect of deflecting blame from drivers and dramatising collisions, and episodic reporting appears more frequently than thematic. Crash is the preferred headline term, but all references share the same agentless grammar. General factors such as alcohol and mobile phone use are named more often with the plural forms, when newspapers report aggregate figures rather than individual collisions. Guidelines that only replace accident with crash or collision therefore change the word but not the grammar. The findings suggest that British newspaper reporting may naturalise road danger, obscure responsibility, and reproduce a public discourse in which the systemic causes of collisions remain largely invisible.

Authors

Institutions

Publication Details

Journal
Studies in Media and Communication
Published
2026-11-02
DOI
https://doi.org/10.11114/smc.v14i4.9178
Primary Topic
Discourse Analysis in Language Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

How British Newspapers Represent Road Collisions: A Corpus-Assisted Critical Discourse Study

Rakan Alibri
Studies in Media and Communication
Discourse Analysis in Language Studies
article

How British Newspapers Represent Road Collisions: A Corpus-Assisted Critical Discourse Study

Rakan Alibri
article en

Abstract

This paper examines how British newspapers represent road collisions, drawing on corpus-assisted critical discourse analysis of 5434 articles (4.26 million words) published over three years (2017–2019). It asks what the most frequent reference to road collisions is and how it is used, and how crash, collision, and the plural forms compare with it. Findings indicate that the term accident is the most frequent reference, and its typical collocates relate to situational context, negative consequences—particularly death and injury—and humans. The language of reporting often has the effect of deflecting blame from drivers and dramatising collisions, and episodic reporting appears more frequently than thematic. Crash is the preferred headline term, but all references share the same agentless grammar. General factors such as alcohol and mobile phone use are named more often with the plural forms, when newspapers report aggregate figures rather than individual collisions. Guidelines that only replace accident with crash or collision therefore change the word but not the grammar. The findings suggest that British newspaper reporting may naturalise road danger, obscure responsibility, and reproduce a public discourse in which the systemic causes of collisions remain largely invisible.

Studies in Media and CommunicationVol. 14(4)
University of Tabuk (SA)
Openalex Percentile: Top 3%
Discourse Analysis in Language Studies
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.

Laika access coming soon