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New Method, Different War?
Ickler, Christian ;  Wiesel, John ;  DFG Research Center (SFB) 700 Governance in Areas of Limited Statehood - New Modes of Governance?

HaupttitelNew Method, Different War?
TitelzusatzEvaluating Supervised Machine Learning by Coding Armed Conflict
AutorIckler, Christian
AutorWiesel, John
Institution/KörperschaftDFG Research Center (SFB) 700 Governance in Areas of Limited Statehood - New Modes of Governance?
Seitenzahl30 S.
Schriftenreihe SFB Governance working paper series / Englische Ausgabe ; 39
DDC600 Technik, Technologie
355 Militärwissenschaft
ZusammenfassungThe internet promises ad hoc availability of any kind of information. Conflict researchers seem to be bound only by the effort needed to find and extract the necessary information from international news sources. This begs the question of whether the sheer number of accessible news sources and the speed of the news cycle dictate an automated coding approach in order to keep up. Will the initial costs of implementing such a system outweigh the possible loss of information on violent conflict? We answer these questions in relation to the Event Data on Armed Conflict and Security project (EDACS) where we carry out both human and machine-assisted coding to generate spatiotemporal conflict event data. We use spatiotemporal comparability measures for quantitative and qualitative comparison of the two datasets. While the quality of human-coding exceeds a purely automated approach, a compromise between efficiency and quality results in a supervised, semi-automated machine learning approach. We conclude by critically reflecting on the possible discrepancies in the analysis of these resulting datasets.
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Fachbereich/EinrichtungFB Politik- und Sozialwissenschaften
Arbeitsbereich/InstitutSonderforschungsbereich Governance in Räumen begrenzter Staatlichkeit - Neue Formen des Regierens, Berlin
Erscheinungsjahr2012
Dokumententyp/-SammlungenBuch
SpracheEnglisch
Rechte Nutzungsbedingungen
Erstellt am09.11.2012 - 14:04:26
Letzte Änderung23.01.2014 - 16:20:44
 
Statische URLhttp://edocs.fu-berlin.de/docs/receive/FUDOCS_document_000000015258
Zugriffsstatistik
 

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