Replication Data for: Comparing ‘New’ and ‘Old’ Media for Violence Monitoring and Crisis Response:  Evidence from Kenya
<|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:'This article assesses the comparative opportunities and limitations of ‘new’ and ‘old’ data sources for early warning, crisis response and violence research by comparing reports of political violence, and both violent and peaceful demonstrations, produced through social media and traditional media during the Kenyan elections in August and October 2017. We leverage data from a sample of social media reports of violence through public posts to Twitter and compare these with events coded from media and published sources by the Armed Conflict Location & Event Data Project (ACLED) along two dimensions: 1) geography of violence; and 2) temporality of reporting. We find that the profile of violence recorded varies significantly by source. Records from Twitter are more geographically concentrated, particularly in the capital city and wealthier ' . 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" : ["data","demonstrations","digital technology","elections","Kenya","social media","violence"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This article assesses the comparative opportunities and limitations of ‘new’ and ‘old’ data sources for early warning, crisis response and violence research by comparing reports of political violence, and both violent and peaceful demonstrations, produced through social media and traditional media during the Kenyan elections in August and October 2017. We leverage data from a sample of social media reports of violence through public posts to Twitter and compare these with events coded from media and published sources by the Armed Conflict Location & Event Data Project (ACLED) along two dimensions: 1) geography of violence; and 2) temporality of reporting. We find that the profile of violence recorded varies significantly by source. Records from Twitter are more geographically concentrated, particularly in the capital city and wealthier ' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This article assesses the comparative opportunities and limitations of ‘new’ and ‘old’ data sources for early warning, crisis response and violence research by comparing reports of political violence, and both violent and peaceful demonstrations, produced through social media and traditional media during the Kenyan elections in August and October 2017. We leverage data from a sample of social media reports of violence through public posts to Twitter and compare these with events coded from media and published sources by the Armed Conflict Location & Event Data Project (ACLED) along two dimensions: 1) geography of violence; and 2) temporality of reporting. We find that the profile of violence recorded varies significantly by source. Records from Twitter are more geographically concentrated, particularly in the capital city and wealthier 
data; demonstrations; digital technology; elections; Kenya; social media; violence