Replication Data for: Modulation of Democracy: Partisan Communication during and after Election Campaigns
<|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:'It is well known that politicians speak differently when campaigning. The shadow of elections may affect candidates' change in tone during campaigns, but to date we lack a systematic study of the changes in communication patterns between campaign and non-campaign periods. In this study, we look at the sentiment in 4.3 million tweets posted by members of parliaments in the EU27 from 2018 to 2020. Our results show that (1)  the opposition, even populists and Euroskeptics, sends more positive messages during campaigns, (2) parties trailing in the polls communicate more negatively, and (3) that the changes are similar in national and European elections. These findings show the need to look beyond campaign times to understand parties' appeals, and highlight the promises of social media data to move beyond traditional analyses of manifestos an' . 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" : ["European Politics","Legislative behaviour","Political Communication","Sentiment analysis","Social media","Text analysis"]} <|eot_id|>
 Here is the Description of a dataset. Description:'It is well known that politicians speak differently when campaigning. The shadow of elections may affect candidates' change in tone during campaigns, but to date we lack a systematic study of the changes in communication patterns between campaign and non-campaign periods. In this study, we look at the sentiment in 4.3 million tweets posted by members of parliaments in the EU27 from 2018 to 2020. Our results show that (1)  the opposition, even populists and Euroskeptics, sends more positive messages during campaigns, (2) parties trailing in the polls communicate more negatively, and (3) that the changes are similar in national and European elections. These findings show the need to look beyond campaign times to understand parties' appeals, and highlight the promises of social media data to move beyond traditional analyses of manifestos an' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
It is well known that politicians speak differently when campaigning. The shadow of elections may affect candidates' change in tone during campaigns, but to date we lack a systematic study of the changes in communication patterns between campaign and non-campaign periods. In this study, we look at the sentiment in 4.3 million tweets posted by members of parliaments in the EU27 from 2018 to 2020. Our results show that (1)  the opposition, even populists and Euroskeptics, sends more positive messages during campaigns, (2) parties trailing in the polls communicate more negatively, and (3) that the changes are similar in national and European elections. These findings show the need to look beyond campaign times to understand parties' appeals, and highlight the promises of social media data to move beyond traditional analyses of manifestos an
European Politics; Legislative behaviour; Political Communication; Sentiment analysis; Social media; Text analysis