Replication Data for: Short of Suspension: How Suspension Warnings Can Reduce Hate Speech on Twitter
<|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:'Debates around the effectiveness of high profile Twitter account suspensions and similar bans on abusive users across social media platforms abound. Yet, we know little about the effectiveness of warning a user of suspending their account as opposed to outright suspensions in reducing hate speech. With a pre-registered experiment, we provide causal evidence that a warning message can reduce the use of hateful language on Twitter, at least in the short term. We design our messages based on the literature on deterrence, and test versions that emphasize the legitimacy of the sender, the credibility of the message, and the costliness of being suspended. We find that the act of warning a user of the potential consequences of their behavior can significantly reduce their hateful language one week after receiving the warning. We also find that' . 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" : ["Social media, experiment, hate speech"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Debates around the effectiveness of high profile Twitter account suspensions and similar bans on abusive users across social media platforms abound. Yet, we know little about the effectiveness of warning a user of suspending their account as opposed to outright suspensions in reducing hate speech. With a pre-registered experiment, we provide causal evidence that a warning message can reduce the use of hateful language on Twitter, at least in the short term. We design our messages based on the literature on deterrence, and test versions that emphasize the legitimacy of the sender, the credibility of the message, and the costliness of being suspended. We find that the act of warning a user of the potential consequences of their behavior can significantly reduce their hateful language one week after receiving the warning. We also find that' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Debates around the effectiveness of high profile Twitter account suspensions and similar bans on abusive users across social media platforms abound. Yet, we know little about the effectiveness of warning a user of suspending their account as opposed to outright suspensions in reducing hate speech. With a pre-registered experiment, we provide causal evidence that a warning message can reduce the use of hateful language on Twitter, at least in the short term. We design our messages based on the literature on deterrence, and test versions that emphasize the legitimacy of the sender, the credibility of the message, and the costliness of being suspended. We find that the act of warning a user of the potential consequences of their behavior can significantly reduce their hateful language one week after receiving the warning. We also find that
Social media, experiment, hate speech