Replication Data for:  Multi-party Media Partisanship Attention Score: estimating partisan attention of news media sources using Twitter data in the lead up of the 2018 Italian election
<|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:'The ongoing radical transformations in communication ecosystems have brought up renowned concerns about the risks of partisan selective exposure and ideological polarization. Traditionally, partisan selective exposure is measured by cross-tabulating survey responses on respondents vote intentions and media consumption. This process is expensive, limits the number of news outlets taken into account and prone to the typical biases of self-reported data. Building upon previous works and with a specific focus on the online media environment, we introduce a new method to measure media partisanship attention in a multi-party political system using Twitter data from 2018 Italian general election. Our first research question addresses the effectiveness of this method by measuring the extent to which our estimates correlate with partisan newspape' . 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" : ["attention","insularity","Italian 2018 election","polarization","selective exposure"]} <|eot_id|>
 Here is the Description of a dataset. Description:'The ongoing radical transformations in communication ecosystems have brought up renowned concerns about the risks of partisan selective exposure and ideological polarization. Traditionally, partisan selective exposure is measured by cross-tabulating survey responses on respondents vote intentions and media consumption. This process is expensive, limits the number of news outlets taken into account and prone to the typical biases of self-reported data. Building upon previous works and with a specific focus on the online media environment, we introduce a new method to measure media partisanship attention in a multi-party political system using Twitter data from 2018 Italian general election. Our first research question addresses the effectiveness of this method by measuring the extent to which our estimates correlate with partisan newspape' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
The ongoing radical transformations in communication ecosystems have brought up renowned concerns about the risks of partisan selective exposure and ideological polarization. Traditionally, partisan selective exposure is measured by cross-tabulating survey responses on respondents vote intentions and media consumption. This process is expensive, limits the number of news outlets taken into account and prone to the typical biases of self-reported data. Building upon previous works and with a specific focus on the online media environment, we introduce a new method to measure media partisanship attention in a multi-party political system using Twitter data from 2018 Italian general election. Our first research question addresses the effectiveness of this method by measuring the extent to which our estimates correlate with partisan newspape
attention; insularity; Italian 2018 election; polarization; selective exposure