(Non-) Involvement in Terrorist Violence Dataset (NITV)
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This dataset describes 206 individuals who radicalised to extremism. Exactly half of the sample (N=103) radicalised to right-wing extremism, and half to jihadism. The sample is also split 50/50 in terms of the outcome of these radicalization processes: 103 individuals became involved in the planning, preparation or execution of terrorist attacks, the other 103 did not. The purpose of our dataset was to gain insights into what variables influence these outcome differences. To that end, we used a codebook to look at structural, group and individual-level variables theorised to influence the onset and outcome of radicalization processes. The dataset describes individuals from Europe and North-America (Canada / US) with an average date of birth of 1980.Data on our population was gathered from a range of sources, such as secondary literatur' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Canada","Europe","extremism","Germany","jihadism","(non-) involvement in terrorist violence","North-America","radicalization","right-wing extremism","Scandinavia","terrorism","The Netherlands","United Kingdom","United States"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This dataset describes 206 individuals who radicalised to extremism. Exactly half of the sample (N=103) radicalised to right-wing extremism, and half to jihadism. The sample is also split 50/50 in terms of the outcome of these radicalization processes: 103 individuals became involved in the planning, preparation or execution of terrorist attacks, the other 103 did not. The purpose of our dataset was to gain insights into what variables influence these outcome differences. To that end, we used a codebook to look at structural, group and individual-level variables theorised to influence the onset and outcome of radicalization processes. The dataset describes individuals from Europe and North-America (Canada / US) with an average date of birth of 1980.Data on our population was gathered from a range of sources, such as secondary literatur' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This dataset describes 206 individuals who radicalised to extremism. Exactly half of the sample (N=103) radicalised to right-wing extremism, and half to jihadism. The sample is also split 50/50 in terms of the outcome of these radicalization processes: 103 individuals became involved in the planning, preparation or execution of terrorist attacks, the other 103 did not. The purpose of our dataset was to gain insights into what variables influence these outcome differences. To that end, we used a codebook to look at structural, group and individual-level variables theorised to influence the onset and outcome of radicalization processes. The dataset describes individuals from Europe and North-America (Canada / US) with an average date of birth of 1980.Data on our population was gathered from a range of sources, such as secondary literatur
Canada; Europe; extremism; Germany; jihadism; (non-) involvement in terrorist violence; North-America; radicalization; right-wing extremism; Scandinavia; terrorism; The Netherlands; United Kingdom; United States