Making uncertainty explicit

Separating reports and events in the coding of violence and contention

Datos Bibliográficos

ID3916263
AutoresNils B Weidmann (0000-0002-4791-4913, University of Konstanz, autor de correspondencia), Espen Geelmuyden Rød (0000-0003-1976-6746, University of Konstanz & Conditions of Violence and Peace Department, Peace Research Institute Oslo (PRIO))
Año2015
Volumen52
Número1
Páginas125-128
Fecha de publicación2015-01-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaJournal of Peace Research (JOURNAL)
Identificadores de la revistaISSN: 0022-3433 • E-ISSN: 1460-3578
EditorialSAGE Publications Inc (PUBLISHER)
DOI10.1177/0022343314523807
OpenAlexW2137732630
IdiomaEN
Citas recibidas10
Referencias citadas1

When coding events from media sources - as the majority of data projects do - different reports may oftentimes contain contradictory information. What do coders make of this? It is up to them to aggregate different reports into one coded event, and to supplement missing information based on other sources or their own background information. If not addressed properly, this may lead to a lack of replicability and to low reliability of the final data product. In this short article, we present an approach for separating (i) event reports and the information contained in them, and (ii) events, which are based on aggregate information from the reports and constitute the final data product. Our procedure preserves uncertainty arising from multiple reports and gives the user control over how missing and conflicting information should be dealt with. We illustrate our procedure with data from a current coding project, the Mass Mobilization in Autocracies Database (MMAD

Aggregate (composite) · Aggregate data · Coding (social sciences) · Data mining · Data science · Event (particle physics) · Information retrieval · Machine learning · Missing data · Reliability (semiconductor) · Statistics · Computer Science · Mathematics · Media Influence and Politics