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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 can capture the theoretically important structuring of events into campaigns and episodes and media attention cascades and cycles. Relational data structures support richer theorizing about the interplay of protests and their representations in news media discourses. We present preliminary illustrative data about Black protests from these new procedures to demonstrate the value of this approach. 

Using novel data, we provide the first panoramic view of U.S. Black movement protest events as reported in U.S. newswires between 1994 and 2010 and put our quantitative data into dialogue with qualitative accounts. Struggles during these years presaged the Black Lives protest waves of 2014 to 2016 and 2020. Protests increased after the 1995 Million Man March into 2001 but dropped abruptly after the 9/11 attacks. Collective action increased again at the end of the 2000s. Protests in response to police violence and other criminal-legal issues were major arenas of struggle and news coverage. Also common were issues of national identity including celebrations of Black history and Black solidarity, protests about Confederate symbols, and protests about White hate groups and hate crimes. Although Black people protested about a wide variety of issues, newswires focused disproportionately on incidents of police violence and perceived threats of Black violence. There is substantial continuity in issues, organizations, and activism between this earlier period and the Black Lives Movement of 2014 to 2020.