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Political Violence in Turkey
Název práce v češtině: Politické násilí v Turecku
Název v anglickém jazyce: Political Violence in Turkey
Klíčová slova: politické násilí, Turecko, terorismus, občanská válka
Klíčová slova anglicky: political violence, Turkey, terrorism, civil war
Akademický rok vypsání: 2020/2021
Typ práce: diplomová práce
Jazyk práce: angličtina
Ústav: Katedra bezpečnostních studií (23-KBS)
Vedoucí / školitel: doc. PhDr. Vít Střítecký, M.Phil., Ph.D.
Řešitel: skrytý - zadáno vedoucím/školitelem
Datum přihlášení: 10.10.2020
Datum zadání: 07.07.2021
Datum a čas obhajoby: 23.09.2021 08:00
Místo konání obhajoby: Pekařská 16, JPEK312, 312, Malá učebna, 3.patro
Datum odevzdání elektronické podoby:26.07.2021
Datum proběhlé obhajoby: 23.09.2021
Oponenti: prof. PhDr. Emil Aslan, Ph.D.
 
 
 
Kontrola URKUND:
Předběžná náplň práce
This thesis aims to create a novel dataset on political violence to estimate the accurate number of political violence incidents and fatalities in Turkey: Political Violence in Turkey Event Dataset (POLVITED). I argue that the reporting bias and differences in the scopes and definition of event datasets impact the quantitative study of conflict and violence. To eliminate the reporting bias and create a comprehensive dataset on political violence, I apply Matching EventData by Location, Time and Type (MELTT) method to the Global TerrorismDatabase(GTD) and Uppsala Conflict Data Programme (UCDP-GED). The finding suggests that UCDP-GED were able to record 65% of the total number of political violence incidents in Turkey, and GTD was able to record 45% of them while 10% is coded in both datasets. POLVITED enables the researchers to capture the accurate picture of political violence incidents in Turkey by eliminating the double recording and alleviating the reporting bias. Lastly, the comparison of POLVITED and official reports demonstrates that, although the reporting bias is inevitable, integration alleviates the problems associated with it by increasing the coverage of the dataset.
Předběžná náplň práce v anglickém jazyce
This thesis aims to create a novel dataset on political violence to estimate the accurate number of political violence incidents and fatalities in Turkey: Political Violence in Turkey Event Dataset (POLVITED). I argue that the reporting bias and differences in the scopes and definition of event datasets impact the quantitative study of conflict and violence. To eliminate the reporting bias and create a comprehensive dataset on political violence, I apply Matching EventData by Location, Time and Type (MELTT) method to the Global TerrorismDatabase(GTD) and Uppsala Conflict Data Programme (UCDP-GED). The finding suggests that UCDP-GED were able to record 65% of the total number of political violence incidents in Turkey, and GTD was able to record 45% of them while 10% is coded in both datasets. POLVITED enables the researchers to capture the accurate picture of political violence incidents in Turkey by eliminating the double recording and alleviating the reporting bias. Lastly, the comparison of POLVITED and official reports demonstrates that, although the reporting bias is inevitable, integration alleviates the problems associated with it by increasing the coverage of the dataset.
 
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