Terrorism in armed conflict: new data attributing terrorism to rebel organizations
The Terrorism in Armed Conflict project integrates the Uppsala Conflict Data Project sample of rebel organizations with START’s Global Terrorism Database, covering 409 organizations for 1970–2013. For many Global Terrorism Database incidents, perpetrator information is missing, or ambiguous. Because...
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Veröffentlicht in: | Conflict management and peace science 2022-03, Vol.39 (2), p.214-236 |
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creator | Fortna, Virginia Page Lotito, Nicholas J. Rubin, Michael A. |
description | The Terrorism in Armed Conflict project integrates the Uppsala Conflict Data Project sample of rebel organizations with START’s Global Terrorism Database, covering 409 organizations for 1970–2013. For many Global Terrorism Database incidents, perpetrator information is missing, or ambiguous. Because the accuracy of perpetrator information likely varies systematically, simply dropping these incidents from analyses may bias results. Terrorism in Armed Conflict provides possible attribution to specific rebel groups with coding for uncertainty, enabling researchers to (1) address “description bias” in media-based terrorism data, (2) model uncertainty regarding perpetrator attribution and (3) vary the way terrorism is counted. The Terrorism in Armed Conflict dataset further provides a measure of deliberately indiscriminate terrorism that allows for more nuanced testing of arguments about the strategic logic of terrorism. |
doi_str_mv | 10.1177/0738894220972996 |
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The Terrorism in Armed Conflict dataset further provides a measure of deliberately indiscriminate terrorism that allows for more nuanced testing of arguments about the strategic logic of terrorism.</description><subject>Attribution</subject><subject>Bias</subject><subject>Civil war</subject><subject>Conflict</subject><subject>Organizations</subject><subject>Terrorism</subject><issn>0738-8942</issn><issn>1549-9219</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>7UB</sourceid><recordid>eNp1kE1LAzEURYMoWKt7lwHXo_lqMnEnRatQEKSuhzfpmyFlmtQkRfTX21JREFy9xT3nPriEXHJ2zbkxN8zIurZKCGaNsFYfkRGfKFtZwe0xGe3jap-fkrOcV4wJY2w9Ii8LTCkmn9fUBwppjUvqYugG78otDfhOl1CAQinJt9viQ0_Lj1EiTdjiQGPqIfhPKD6GfE5OOhgyXnzfMXl9uF9MH6v58-xpejevnFSiVJ3jCFAz1YIQ2jij0YCWCEyyGgwzzgqlpXaAqIRznKFwEyvbDmzrZCfH5OrQu0nxbYu5NKu4TWH3shGa12pitbI7ih0ol2LOCbtmk_wa0kfDWbNfrvm73E6pDkqGHn9L_-W_APpRbuQ</recordid><startdate>202203</startdate><enddate>202203</enddate><creator>Fortna, Virginia Page</creator><creator>Lotito, Nicholas J.</creator><creator>Rubin, Michael A.</creator><general>SAGE Publications</general><general>Sage Publications Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7UB</scope><orcidid>https://orcid.org/0000-0002-1203-5353</orcidid><orcidid>https://orcid.org/0000-0002-5623-4397</orcidid></search><sort><creationdate>202203</creationdate><title>Terrorism in armed conflict: new data attributing terrorism to rebel organizations</title><author>Fortna, Virginia Page ; Lotito, Nicholas J. ; Rubin, Michael A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c342t-fc1eaa804ba2267c76e7a63ea0308a707c924636caee42cc10e2c593bfa9bc3f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Attribution</topic><topic>Bias</topic><topic>Civil war</topic><topic>Conflict</topic><topic>Organizations</topic><topic>Terrorism</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fortna, Virginia Page</creatorcontrib><creatorcontrib>Lotito, Nicholas J.</creatorcontrib><creatorcontrib>Rubin, Michael A.</creatorcontrib><collection>CrossRef</collection><collection>Worldwide Political Science Abstracts</collection><jtitle>Conflict management and peace science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fortna, Virginia Page</au><au>Lotito, Nicholas J.</au><au>Rubin, Michael A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Terrorism in armed conflict: new data attributing terrorism to rebel organizations</atitle><jtitle>Conflict management and peace science</jtitle><date>2022-03</date><risdate>2022</risdate><volume>39</volume><issue>2</issue><spage>214</spage><epage>236</epage><pages>214-236</pages><issn>0738-8942</issn><eissn>1549-9219</eissn><abstract>The Terrorism in Armed Conflict project integrates the Uppsala Conflict Data Project sample of rebel organizations with START’s Global Terrorism Database, covering 409 organizations for 1970–2013. 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source | Worldwide Political Science Abstracts; SAGE Complete A-Z List; Alma/SFX Local Collection |
subjects | Attribution Bias Civil war Conflict Organizations Terrorism |
title | Terrorism in armed conflict: new data attributing terrorism to rebel organizations |
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