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Constructing Relational and Verifiable Protest Event Data: Four Challenges and Some Solutions
[post]
2022
unpublished
We call for a relational approach to constructing protest event data from news sources to provide tools for detecting and correcting errors and for capturing the relations among events and between events and the texts describing them. We address two problems with most protest event datasets: (1) inconsistencies and errors in identifying events and (2) disconnect between data structures and what is known about how protests and media accounts of protests are produced. Relational data structures
doi:10.31235/osf.io/d89g7
fatcat:by7vuhbc5zcwpbk7y6clw5aqmi