Replication Data for: Crowd Cohesion and Protest Outcomes
<|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:'Amidst an unprecedented swell in global protest, scholars and activists wrestle with the question of why protests succeed or fail. I explore a new answer: more cohesive crowds, where protesters agree on their demands, are more likely to win concessions than less cohesive crowds. Drawing on psychology and linguistics, I theorize that cohesive demands are more comprehensible and thus persuasive. I test this theory with a multi-method approach. First, I use cross-national data from 97 protests to estimate the relationship between crowd cohesion and subsequent concessions, applying natural language processing to measure cohesion in participants' self-reported motivations. Second, a survey experiment tests the causal effects of crowd cohesion and assesses comprehensibility of demands as the mechanism driving concessions. Third, case studies o' . 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" : ["Experiments","Protests","Social movements","Surveys"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Amidst an unprecedented swell in global protest, scholars and activists wrestle with the question of why protests succeed or fail. I explore a new answer: more cohesive crowds, where protesters agree on their demands, are more likely to win concessions than less cohesive crowds. Drawing on psychology and linguistics, I theorize that cohesive demands are more comprehensible and thus persuasive. I test this theory with a multi-method approach. First, I use cross-national data from 97 protests to estimate the relationship between crowd cohesion and subsequent concessions, applying natural language processing to measure cohesion in participants' self-reported motivations. Second, a survey experiment tests the causal effects of crowd cohesion and assesses comprehensibility of demands as the mechanism driving concessions. Third, case studies o' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Amidst an unprecedented swell in global protest, scholars and activists wrestle with the question of why protests succeed or fail. I explore a new answer: more cohesive crowds, where protesters agree on their demands, are more likely to win concessions than less cohesive crowds. Drawing on psychology and linguistics, I theorize that cohesive demands are more comprehensible and thus persuasive. I test this theory with a multi-method approach. First, I use cross-national data from 97 protests to estimate the relationship between crowd cohesion and subsequent concessions, applying natural language processing to measure cohesion in participants' self-reported motivations. Second, a survey experiment tests the causal effects of crowd cohesion and assesses comprehensibility of demands as the mechanism driving concessions. Third, case studies o
Experiments; Protests; Social movements; Surveys