Expanding the Coverage of Conflict Event Datasets: Three Proofs of Concept

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Accounts of Chemical Research Pub Date : 2023-07-03 DOI:10.1080/13698249.2023.2254988

Andrew Shaver, Hannah Kazis-Taylor, Claudia Loomis, Mia Bartschi, Paul Patterson, Adrian Vera, Kevin Abad, Saher Alqarwani, Clay Bell, Sebastian Bock, Kieran Cabezas, Heidi Felix, Jennifer Gonzalez, Christopher Hoeft, Aileen Ibarra Martinez, Kai Keltner, Jessica Moroyoqui, Kieko Paman, Ethan Ramirez, Priscilla Reis, Juan Jose Rodriguez, Jazmin Santos-Perez, Katha Komal Sikka, Arjan Singh, Cassidy Tao, Richard Tirado, Aishvari Trivedi, Lillian Xu, Margaret You, Meriam Eskander

{"title":"Expanding the Coverage of Conflict Event Datasets: Three Proofs of Concept","authors":"Andrew Shaver, Hannah Kazis-Taylor, Claudia Loomis, Mia Bartschi, Paul Patterson, Adrian Vera, Kevin Abad, Saher Alqarwani, Clay Bell, Sebastian Bock, Kieran Cabezas, Heidi Felix, Jennifer Gonzalez, Christopher Hoeft, Aileen Ibarra Martinez, Kai Keltner, Jessica Moroyoqui, Kieko Paman, Ethan Ramirez, Priscilla Reis, Juan Jose Rodriguez, Jazmin Santos-Perez, Katha Komal Sikka, Arjan Singh, Cassidy Tao, Richard Tirado, Aishvari Trivedi, Lillian Xu, Margaret You, Meriam Eskander","doi":"10.1080/13698249.2023.2254988","DOIUrl":null,"url":null,"abstract":"ABSTRACT Many contemporary studies on political violence/social unrest rely on conflict event datasets derived primarily from major international/national news reports. Yet, a large body of research identifies systematic patterns of ‘missingness’ in these data, calling into question statistical results drawn from them. In this project, we explore three specific opportunities for additional data collection to help recover systematically excluded events and to potentially assist in addressing resulting bias. We find that all three approaches result in additional and often systematically different material than that reported in news-based datasets, and we reflect on the advantages and drawbacks of these approaches.","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":null,"pages":null},"PeriodicalIF":16.4000,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/13698249.2023.2254988","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}

引用次数: 0

Abstract

ABSTRACT Many contemporary studies on political violence/social unrest rely on conflict event datasets derived primarily from major international/national news reports. Yet, a large body of research identifies systematic patterns of ‘missingness’ in these data, calling into question statistical results drawn from them. In this project, we explore three specific opportunities for additional data collection to help recover systematically excluded events and to potentially assist in addressing resulting bias. We find that all three approaches result in additional and often systematically different material than that reported in news-based datasets, and we reflect on the advantages and drawbacks of these approaches.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

扩大冲突事件数据集的覆盖范围：三个概念验证

摘要许多有关政治暴力/社会动乱的当代研究都依赖于主要来自主要国际/国家新闻报道的冲突事件数据集。然而，大量研究发现，这些数据中存在系统性的 "遗漏 "模式，从而对由此得出的统计结果提出了质疑。在本项目中，我们探讨了额外数据收集的三个具体机会，以帮助恢复被系统性排除的事件，并有可能帮助解决由此产生的偏差。我们发现，所有这三种方法都会产生额外的、往往与基于新闻的数据集所报道的内容存在系统性差异的材料，我们对这些方法的优点和缺点进行了反思。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.