Replication Data for: Communicating scientific uncertainty in an age of COVID-19
<|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:'News stories mentioning COVID-related preprints published in bioRxiv and medRxiv between January and April 2020 from the 15 outlets that mentioned the most preprints during this time period (as determined by Altmetric.com). Each mention was qualitatively coded for various markers of uncertainty (or uncertainty framing devices) and stories were classified by type, as per the codebook' . 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" : ["digital journalism","preprints","science communication"]} <|eot_id|>
 Here is the Description of a dataset. Description:'News stories mentioning COVID-related preprints published in bioRxiv and medRxiv between January and April 2020 from the 15 outlets that mentioned the most preprints during this time period (as determined by Altmetric.com). Each mention was qualitatively coded for various markers of uncertainty (or uncertainty framing devices) and stories were classified by type, as per the codebook' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
News stories mentioning COVID-related preprints published in bioRxiv and medRxiv between January and April 2020 from the 15 outlets that mentioned the most preprints during this time period (as determined by Altmetric.com). Each mention was qualitatively coded for various markers of uncertainty (or uncertainty framing devices) and stories were classified by type, as per the codebook
digital journalism; preprints; science communication