Introducing the Targeted Mass Killing Data Set for the Study and Forecasting of Mass Atrocities

Author:

Butcher Charles1ORCID,Goldsmith Benjamin E.2,Nanlohy Sascha3,Sowmya Arcot4,Muchlinski David5

Affiliation:

1. Department of Sociology and Political Science, Norwegian University of Science and Technology, Trondheim, Norway

2. School of Politics & International Relations, Australian National University, Canberra, Australia

3. Department of Government and International Relations, University of Sydney, Sydney, Australia

4. School of Computer Science and Engineering, University of New South Wales, Sydney, Australia

5. Sam Nunn School of International Affairs, Georgia Institute of Technology, Atlanta, GA, USA

Abstract

This article describes a new data set for the study of genocide, politicide, and similar atrocities. Existing data sets have facilitated advances in understanding and policy-relevant applications such as forecasting but have been criticized for insufficient transparency, replicability, and for omitting failed or prevented attempts at genocide/politicide. More general data sets of mass civilian killing do not typically enable users to isolate situations in which specific groups are deliberately targeted. The Targeted Mass Killing (TMK) data set identifies 201 TMK episodes, 1946 to 2017, with annualized information on perpetrator intent, severity, targeted groups, and new ordinal and binary indicators of genocide/politicide that can serve as alternatives to existing measures. Users are also able to construct their own indicators based on their research questions or preferred definitions. The article discusses the concept and operationalization of TMK, provides comparisons with other data sets, and highlights some of the strengths and new capabilities of the TMK data.

Funder

Australian Research Council

Publisher

SAGE Publications

Subject

Political Science and International Relations,Sociology and Political Science,General Business, Management and Accounting

Cited by 25 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3