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Replication Data for: Geography and the Certainty of Terrorism Event Coding

By Stephen Nemeth · as credited by the source

Published 2021-05-26 · Replication Data Dataverse

Deposited on Harvard Dataverse doi:10.7910/DVN/69CCB8 licence: see repository 2 files
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About this dataset

While event data provides researchers with insight into contemporary security threats, many are built upon secondary sources that may insert bias into empirical studies. Specifically, we argue that one form of bias—description bias—can be conditional on an event's characteristics or locale, thus influencing the certainty an observation is coded as an act of terrorism. We find that, using the Global Terrorism Database's own variables, attacks on civilians, particular types of tactics, and attacks that occur closer to a populated place are more likely to be coded as terrorism. These findings spe …

Collection: Replication Data Dataverse

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Cite

@dataset{nemeth2021,
  title     = {Replication Data for: Geography and the Certainty of Terrorism Event Coding},
  author    = {Nemeth, Stephen},
  year      = {2021},
  publisher = {Harvard Dataverse},
  doi       = {10.7910/DVN/69CCB8},
  url       = {https://doi.org/10.7910/DVN/69CCB8}
}

Research that uses it

No published research on E2ER uses this dataset yet.

Description

Data model
Discipline
Social sciences
Method family
Replication
Design
not specified
Research stage
Data acquisition
Contributors
Stephen Nemeth (Data curation)
Usage
not used in published research yet
Source
Harvard Dataverse · Replication Data Dataverse
Record
dataset:dataverse/10-7910-dvn-69ccb8 · JSON

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