Replication Data for: Content-Era Ethics
<|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:'These are the headline text and urls only for 205,147 of the most shared pieces of content on Facebook, Twitter, Reddit, and Pinterest between 2014 and 2019 (saved in the file titled 'alltopcontenttitlesandurlsonly.csv'). Other aspects of the data (specific share counts) have been excluded, as some of this data is proprietary. There is no code related to the extraction of this data; rather, the process through which I collected it, using data from services called Newswhip and Buzzsumo, is described, at greater length, in the notes section (as well as in footnote 9 of the associated article, 'Content-Era Ethics'). I also uploading, in separate files, the code used to analyze this data' . 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, Content, Viral, Facebook, Twitter, Reddit, Pinterest"]} <|eot_id|>
 Here is the Description of a dataset. Description:'These are the headline text and urls only for 205,147 of the most shared pieces of content on Facebook, Twitter, Reddit, and Pinterest between 2014 and 2019 (saved in the file titled 'alltopcontenttitlesandurlsonly.csv'). Other aspects of the data (specific share counts) have been excluded, as some of this data is proprietary. There is no code related to the extraction of this data; rather, the process through which I collected it, using data from services called Newswhip and Buzzsumo, is described, at greater length, in the notes section (as well as in footnote 9 of the associated article, 'Content-Era Ethics'). I also uploading, in separate files, the code used to analyze this data' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
These are the headline text and urls only for 205,147 of the most shared pieces of content on Facebook, Twitter, Reddit, and Pinterest between 2014 and 2019 (saved in the file titled 'alltopcontenttitlesandurlsonly.csv'). Other aspects of the data (specific share counts) have been excluded, as some of this data is proprietary. There is no code related to the extraction of this data; rather, the process through which I collected it, using data from services called Newswhip and Buzzsumo, is described, at greater length, in the notes section (as well as in footnote 9 of the associated article, 'Content-Era Ethics'). I also uploading, in separate files, the code used to analyze this data
Social Media, Content, Viral, Facebook, Twitter, Reddit, Pinterest