Introducing the MMAD Repressive Actors Dataset

IF 2 3区 社会学 Q2 POLITICAL SCIENCE Research and Politics Pub Date : 2023-04-01 DOI:10.1177/20531680231163384
E. Rød, Jan Rustemeyer, Sabine Otto
{"title":"Introducing the MMAD Repressive Actors Dataset","authors":"E. Rød, Jan Rustemeyer, Sabine Otto","doi":"10.1177/20531680231163384","DOIUrl":null,"url":null,"abstract":"We present the MMAD Repressive Actors Dataset (MMAD-RA). The MMAD-RA is a new data source that provides systematic information on the repressive actors present at protest events in autocracies, including their type, tactics, and level of violence. The data is temporally and geographically fine-grained, allowing for analysis between and within more than 60 countries from 2003 to 2012. The MMAD-RA enables analysis of the variation in repressive actors deployed to protests and their behavior, as well as how these actors impact protest dynamics and outcomes across political and socio-economic contexts. We believe the data will be a valuable resource for pushing forward research on how repressive actors engage with mass protests.","PeriodicalId":37327,"journal":{"name":"Research and Politics","volume":null,"pages":null},"PeriodicalIF":2.0000,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research and Politics","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1177/20531680231163384","RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"POLITICAL SCIENCE","Score":null,"Total":0}
引用次数: 0

Abstract

We present the MMAD Repressive Actors Dataset (MMAD-RA). The MMAD-RA is a new data source that provides systematic information on the repressive actors present at protest events in autocracies, including their type, tactics, and level of violence. The data is temporally and geographically fine-grained, allowing for analysis between and within more than 60 countries from 2003 to 2012. The MMAD-RA enables analysis of the variation in repressive actors deployed to protests and their behavior, as well as how these actors impact protest dynamics and outcomes across political and socio-economic contexts. We believe the data will be a valuable resource for pushing forward research on how repressive actors engage with mass protests.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
介绍MMAD抑制参与者数据集
我们提出了MMAD抑制参与者数据集(MMAD-RA)。MMAD-RA是一个新的数据源,它提供了有关专制国家抗议活动中镇压行为体的系统信息,包括他们的类型、策略和暴力程度。这些数据在时间和地理上都很精细,可以在2003年至2012年期间在60多个国家之间和国家内部进行分析。MMAD-RA能够分析被部署到抗议活动中的镇压行为体的变化及其行为,以及这些行为体如何影响政治和社会经济背景下的抗议动态和结果。我们相信,这些数据将是推动研究镇压行为体如何参与大规模抗议活动的宝贵资源。
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
Research and Politics
Research and Politics Social Sciences-Political Science and International Relations
CiteScore
2.80
自引率
3.70%
发文量
34
审稿时长
12 weeks
期刊介绍: Research & Politics aims to advance systematic peer-reviewed research in political science and related fields through the open access publication of the very best cutting-edge research and policy analysis. The journal provides a venue for scholars to communicate rapidly and succinctly important new insights to the broadest possible audience while maintaining the highest standards of quality control.
期刊最新文献
Voters don’t care too much about policy: How politicians conceive of voting motives Assessing survey mode effects in the 2019 EP elections: A comparison of online and face-to-face-survey data from six European countries Unexpected, but consistent and pre-registered: Experimental evidence on interview language and Latino views of COVID-19 Thinking generically and specifically in International Relations survey experiments Infectious disease and political violence: Evidence from malaria and civil conflicts in Sub-Saharan Africa
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1