Twitter data on political debates about the Italian immigration policies
<|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:'Statistics say that Twitter is the preferred social network by journalists in Europe. This means that it provides a perfect environment for the study on debates about Society, Economics, and Politics. The dataset depicting the retweeting activity on an Italian debate regarding immigration policies over a period of one month (from January 2019, 23rd to February 2019, 22nd). The dataset is labeled according to the boticity score of the users participating in the discussion, as outcome of Botometer, a popular bot detector. All the accounts have been classified either as human-operated or as bots. Due to Twitter developers terms we can only provide ids for users and tweets, that can be used to retrieve the original data through the Twitter API. For additional details please refer to 'Twitter data on political debates about the Italian immig' . 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" : ["Immigration flows","Null models","Social bots","Twitter data"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Statistics say that Twitter is the preferred social network by journalists in Europe. This means that it provides a perfect environment for the study on debates about Society, Economics, and Politics. The dataset depicting the retweeting activity on an Italian debate regarding immigration policies over a period of one month (from January 2019, 23rd to February 2019, 22nd). The dataset is labeled according to the boticity score of the users participating in the discussion, as outcome of Botometer, a popular bot detector. All the accounts have been classified either as human-operated or as bots. Due to Twitter developers terms we can only provide ids for users and tweets, that can be used to retrieve the original data through the Twitter API. For additional details please refer to 'Twitter data on political debates about the Italian immig' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Statistics say that Twitter is the preferred social network by journalists in Europe. This means that it provides a perfect environment for the study on debates about Society, Economics, and Politics. The dataset depicting the retweeting activity on an Italian debate regarding immigration policies over a period of one month (from January 2019, 23rd to February 2019, 22nd). The dataset is labeled according to the boticity score of the users participating in the discussion, as outcome of Botometer, a popular bot detector. All the accounts have been classified either as human-operated or as bots. Due to Twitter developers terms we can only provide ids for users and tweets, that can be used to retrieve the original data through the Twitter API. For additional details please refer to 'Twitter data on political debates about the Italian immig
Immigration flows; Null models; Social bots; Twitter data