Replication Data for: Social Media and Policy Responses to the COVID-19 Pandemic in Switzerland
<|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 study the role of social media in debates regarding two policy responses to COVID-19 in Switzerland: face-mask rules and contact-tracing apps. We use a dictionary classifier to categorize 612,177 tweets by parties, politicians, and the public as well as 441,458 articles published in 76 newspapers from February until August 2020. We distinguish between 'problem' (COVID-19) and ``solutions'' (face masks and contact-tracing apps) and, using a vector autoregression approach, we analyze the relationship between their salience on social and traditional media, as well as among different groups on social media. We find that overall attention to COVID-19 was not driven by endogenous dynamics between the different actors. By contrast, the debate on face masks was led by the attentive public and by politicians, whereas parties and newspapers fo' . 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" : ["Corona","Covid","Newspapers","Policy Response","Social Media"]} <|eot_id|>
 Here is the Description of a dataset. Description:'We study the role of social media in debates regarding two policy responses to COVID-19 in Switzerland: face-mask rules and contact-tracing apps. We use a dictionary classifier to categorize 612,177 tweets by parties, politicians, and the public as well as 441,458 articles published in 76 newspapers from February until August 2020. We distinguish between 'problem' (COVID-19) and ``solutions'' (face masks and contact-tracing apps) and, using a vector autoregression approach, we analyze the relationship between their salience on social and traditional media, as well as among different groups on social media. We find that overall attention to COVID-19 was not driven by endogenous dynamics between the different actors. By contrast, the debate on face masks was led by the attentive public and by politicians, whereas parties and newspapers fo' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
We study the role of social media in debates regarding two policy responses to COVID-19 in Switzerland: face-mask rules and contact-tracing apps. We use a dictionary classifier to categorize 612,177 tweets by parties, politicians, and the public as well as 441,458 articles published in 76 newspapers from February until August 2020. We distinguish between 'problem' (COVID-19) and ``solutions'' (face masks and contact-tracing apps) and, using a vector autoregression approach, we analyze the relationship between their salience on social and traditional media, as well as among different groups on social media. We find that overall attention to COVID-19 was not driven by endogenous dynamics between the different actors. By contrast, the debate on face masks was led by the attentive public and by politicians, whereas parties and newspapers fo
Corona; Covid; Newspapers; Policy Response; Social Media