Cookies?
Library Header Image
LSE Research Online LSE Library Services

The uncounted dead: statist bias and civilian targeting in conflict data

Broache, M.P., Cronin-Furman, Kate, Lake, Milli ORCID: 0000-0002-5915-7374 and Yu, Agnes ORCID: 0000-0002-8251-1837 (2025) The uncounted dead: statist bias and civilian targeting in conflict data. Journal of Global Security Studies, 10 (3). ISSN 2057-3170

[img] Text (ogaf013) - Published Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (594kB)
Identification Number: 10.1093/jogss/ogaf013

Abstract

Quantitative research on violence against civilians relies extensively on “off-the-shelf” data, such as the widely cited Uppsala Conflict Data Program's (UCDP) One-Sided Violence dataset. We show that, due to data collection and coding protocols that privilege government narratives of violence, such data often reproduces statist biases pervasive in the international system. These dynamics are particularly visible when civilian deaths result from airstrikes, shelling, and other forms of long-range bombardment. Such capabilities are disproportionately possessed by states, yet conservative coding practices, combined with government control over information and access restrictions, dictate that UCDP consistently codes civilian deaths at the hands of governments as “battle-related” or incidental rather than deliberate targeting. We analyze patterns in the UCDP data release, version 23.1, using evidence from Sri Lanka and Ethiopia to illustrate these patterns.

Item Type: Article
Additional Information: © 2025 The Author
Divisions: International Relations
Government
Subjects: U Military Science > U Military Science (General)
H Social Sciences > H Social Sciences (General)
H Social Sciences > HM Sociology
Date Deposited: 31 Mar 2025 15:03
Last Modified: 09 May 2025 20:07
URI: http://eprints.lse.ac.uk/id/eprint/127745

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics