Abstract
This study introduces the Political Violence in Turkiye Event Dataset (POLVITED), a resource designed to provide a more comprehensive estimation of political violence in Turkiye. I employ the Matching Event Data by Location, Time, and Type (MELTT) methodology to integrate data from the Global Terrorism Database (GTD) and the Uppsala Conflict Data Programme Georeferenced Event Dataset (UCDP-GED). The findings reveal that UCDP-GED captures 60% of political violence incidents in T ¨urkiye, GTD records 40%, and only 15% of incidents are documented in both datasets. By eliminating duplicate records and mitigating reporting bias, POLVITED offers a more comprehensive representation of political violence in Turkey. Additionally, a comparison with official reports demonstrates that while reporting bias cannot be entirely eradicated, data integration significantly enhances dataset coverage and reliability.
Supplementary materials
Title
Duplicates in GTD and UCDP-GED
Description
This dataset summarizes the meltt output of which events had been identified as duplicates in both GTD and UCDP-GED datasets
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Title
POLVITED (the Political Violence in Turkiye Event Dataset)
Description
The dataset is the output of melts algorithm and combination of GTD and UCDP-GED events recorded in Turkey between 1989-2020
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