Replication Data for: Countering Violent Extremism and Radical Rhetoric
<|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:'How do extremist sympathizers respond to counter-radicalization efforts? Over the past decade, programs to counter violent extremism have mushroomed around the world, but little is known of their effectiveness. This study uses social media data to examine how counter-radicalization efforts shape engagement with extremist groups in the online world. Matching geolocated Twitter data on Islamic State sympathizers with granular information on counter-extremism activities in the U.S., I find that, rather than deradicalizing, these efforts led ISIS sympathizers to act strategically in order to avoid detection. After counter-extremism activities, the group’s supporters on Twitter who were in the vicinity of these events began self-censoring expressions of support for ISIS, altered profile images and screen names, and encouraged followers to mi' . 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" : ["Islamic State","Social Media","Terrorism","Text as Data","Violent Extremism"]} <|eot_id|>
 Here is the Description of a dataset. Description:'How do extremist sympathizers respond to counter-radicalization efforts? Over the past decade, programs to counter violent extremism have mushroomed around the world, but little is known of their effectiveness. This study uses social media data to examine how counter-radicalization efforts shape engagement with extremist groups in the online world. Matching geolocated Twitter data on Islamic State sympathizers with granular information on counter-extremism activities in the U.S., I find that, rather than deradicalizing, these efforts led ISIS sympathizers to act strategically in order to avoid detection. After counter-extremism activities, the group’s supporters on Twitter who were in the vicinity of these events began self-censoring expressions of support for ISIS, altered profile images and screen names, and encouraged followers to mi' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
How do extremist sympathizers respond to counter-radicalization efforts? Over the past decade, programs to counter violent extremism have mushroomed around the world, but little is known of their effectiveness. This study uses social media data to examine how counter-radicalization efforts shape engagement with extremist groups in the online world. Matching geolocated Twitter data on Islamic State sympathizers with granular information on counter-extremism activities in the U.S., I find that, rather than deradicalizing, these efforts led ISIS sympathizers to act strategically in order to avoid detection. After counter-extremism activities, the group’s supporters on Twitter who were in the vicinity of these events began self-censoring expressions of support for ISIS, altered profile images and screen names, and encouraged followers to mi
Islamic State; Social Media; Terrorism; Text as Data; Violent Extremism