Replication Data for: An Eye for An Eye? An Integrated Model of Attitude Change Towards Protest Violence
<|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 political violence emerges, why people support it, and how authorities can address it without escalating further radicalization remain an ongoing debate. In this study, we develop a quantitative model to predict violence endorsement as a function of repression severity, group identification, and individual emotions. We situate our investigation in the context of the Anti-Extradition Law Amendment Bill Movement in Hong Kong, during which the public acceptance of violence increased substantially, contrasting the city’s long history of peaceful protests. Results show that violence endorsement is associated with repression severity in a U-shaped fashion. While limited repression deters violence endorsement, excessive repression crossing a proportionality threshold escalates it. Group identification is a salient moderator that amplifies ' . 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" : ["Anti-Extradition Law Amendment Bill Movement","Attitudinal Radicalization","Emotion","Hong Kong","Protest Violence","Repression"]} <|eot_id|>
 Here is the Description of a dataset. Description:'How political violence emerges, why people support it, and how authorities can address it without escalating further radicalization remain an ongoing debate. In this study, we develop a quantitative model to predict violence endorsement as a function of repression severity, group identification, and individual emotions. We situate our investigation in the context of the Anti-Extradition Law Amendment Bill Movement in Hong Kong, during which the public acceptance of violence increased substantially, contrasting the city’s long history of peaceful protests. Results show that violence endorsement is associated with repression severity in a U-shaped fashion. While limited repression deters violence endorsement, excessive repression crossing a proportionality threshold escalates it. Group identification is a salient moderator that amplifies ' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
How political violence emerges, why people support it, and how authorities can address it without escalating further radicalization remain an ongoing debate. In this study, we develop a quantitative model to predict violence endorsement as a function of repression severity, group identification, and individual emotions. We situate our investigation in the context of the Anti-Extradition Law Amendment Bill Movement in Hong Kong, during which the public acceptance of violence increased substantially, contrasting the city’s long history of peaceful protests. Results show that violence endorsement is associated with repression severity in a U-shaped fashion. While limited repression deters violence endorsement, excessive repression crossing a proportionality threshold escalates it. Group identification is a salient moderator that amplifies 
Anti-Extradition Law Amendment Bill Movement; Attitudinal Radicalization; Emotion; Hong Kong; Protest Violence; Repression