Introducing a new dataset on Designated Terrorist Organizations (DTO)
This article introduces a new dataset, Designated Terrorist Organizations (DTO), which details every terrorist organization designated or sanctioned by two IGOs and 148 state governments, as well as the timing of each designation. The DTO includes 281 terrorist groups that have been officially desig...
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sg-ntu-dr.10356-1640292023-01-03T04:03:46Z Introducing a new dataset on Designated Terrorist Organizations (DTO) Tominaga, Yasutaka Lee, Chia-yi Lyu, Mengting S. Rajaratnam School of International Studies Social sciences::Political science Terrorism Terrorist Designation This article introduces a new dataset, Designated Terrorist Organizations (DTO), which details every terrorist organization designated or sanctioned by two IGOs and 148 state governments, as well as the timing of each designation. The DTO includes 281 terrorist groups that have been officially designated by at least one IGO or state government as well as 223 other active terrorist groups that have never been designated. The DTO has a dyadic structure that offers information on both the designating country and the designated group, such as the base location and past activities. We present some trends and patterns of terrorist designation over time and across countries and apply the DTO to analyze the impact of terrorist designation on groups’ attacks. Our preliminary findings show that terrorist designation is negatively associated with terrorist attacks, although the effect only appears in an earlier period. Ministry of Education (MOE) This project is funded by the Singapore Ministry of Education Academic Research Fund (AcRF) Tier 1 Grant (Number 2017-T1-002-161). 2023-01-03T04:03:46Z 2023-01-03T04:03:46Z 2022 Journal Article Tominaga, Y., Lee, C. & Lyu, M. (2022). Introducing a new dataset on Designated Terrorist Organizations (DTO). Journal of Peace Research, 59(5), 756-766. https://dx.doi.org/10.1177/00223433211065642 0022-3433 https://hdl.handle.net/10356/164029 10.1177/00223433211065642 2-s2.0-85135016236 5 59 756 766 en 2017-T1-002-161 Journal of Peace Research © 2022 The Author(s), Article Reuse Guidelines. All rights reserved. |
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Social sciences::Political science Terrorism Terrorist Designation Tominaga, Yasutaka Lee, Chia-yi Lyu, Mengting Introducing a new dataset on Designated Terrorist Organizations (DTO) |
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This article introduces a new dataset, Designated Terrorist Organizations (DTO), which details every terrorist organization designated or sanctioned by two IGOs and 148 state governments, as well as the timing of each designation. The DTO includes 281 terrorist groups that have been officially designated by at least one IGO or state government as well as 223 other active terrorist groups that have never been designated. The DTO has a dyadic structure that offers information on both the designating country and the designated group, such as the base location and past activities. We present some trends and patterns of terrorist designation over time and across countries and apply the DTO to analyze the impact of terrorist designation on groups’ attacks. Our preliminary findings show that terrorist designation is negatively associated with terrorist attacks, although the effect only appears in an earlier period. |
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S. Rajaratnam School of International Studies |
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S. Rajaratnam School of International Studies Tominaga, Yasutaka Lee, Chia-yi Lyu, Mengting |
format |
Article |
author |
Tominaga, Yasutaka Lee, Chia-yi Lyu, Mengting |
author_sort |
Tominaga, Yasutaka |
title |
Introducing a new dataset on Designated Terrorist Organizations (DTO) |
title_short |
Introducing a new dataset on Designated Terrorist Organizations (DTO) |
title_full |
Introducing a new dataset on Designated Terrorist Organizations (DTO) |
title_fullStr |
Introducing a new dataset on Designated Terrorist Organizations (DTO) |
title_full_unstemmed |
Introducing a new dataset on Designated Terrorist Organizations (DTO) |
title_sort |
introducing a new dataset on designated terrorist organizations (dto) |
publishDate |
2023 |
url |
https://hdl.handle.net/10356/164029 |
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1754611296692600832 |