Replication Data for: Policy Diffusion: The Issue-Definition Stage
<|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:'We put forward a new approach to studying issue definition within the context of policy diffusion. Most studies of policy diffusion---which is the process by which policymaking in one government affects policymaking in other governments---have focused on policy adoptions. We shift the focus to an important but neglected aspect of this process: the issue-definition stage. We use topic models to estimate how policies are framed during this stage and how these frames are predicted by prior policy adoptions. Focusing on smoking restriction in U.S. states, our analysis draws upon an original dataset of over 52,000 paragraphs from newspapers covering 49 states between 1996 and 2013. We find that frames regarding the policy's concrete implications are predicted by prior adoptions in other states, while frames regarding its normative justificat' . 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" : ["Federalism","Natural language processing","Policy diffusion","Public policy","Smoking--Law and legislation","Text data mining","Topic models"]} <|eot_id|>
 Here is the Description of a dataset. Description:'We put forward a new approach to studying issue definition within the context of policy diffusion. Most studies of policy diffusion---which is the process by which policymaking in one government affects policymaking in other governments---have focused on policy adoptions. We shift the focus to an important but neglected aspect of this process: the issue-definition stage. We use topic models to estimate how policies are framed during this stage and how these frames are predicted by prior policy adoptions. Focusing on smoking restriction in U.S. states, our analysis draws upon an original dataset of over 52,000 paragraphs from newspapers covering 49 states between 1996 and 2013. We find that frames regarding the policy's concrete implications are predicted by prior adoptions in other states, while frames regarding its normative justificat' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
We put forward a new approach to studying issue definition within the context of policy diffusion. Most studies of policy diffusion---which is the process by which policymaking in one government affects policymaking in other governments---have focused on policy adoptions. We shift the focus to an important but neglected aspect of this process: the issue-definition stage. We use topic models to estimate how policies are framed during this stage and how these frames are predicted by prior policy adoptions. Focusing on smoking restriction in U.S. states, our analysis draws upon an original dataset of over 52,000 paragraphs from newspapers covering 49 states between 1996 and 2013. We find that frames regarding the policy's concrete implications are predicted by prior adoptions in other states, while frames regarding its normative justificat
Federalism; Natural language processing; Policy diffusion; Public policy; Smoking--Law and legislation; Text data mining; Topic models