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What explains the emergence of Islamist violence as a substantial security threat in such diverse contexts as Kenya, Mali and Nigeria? This article addresses this question through an exploration of the strategies of governance employed by states, and how these shape the emergence and mode of collective violence. Conflict research often emphasises the specificity of Islamist violence; but these conflicts can be understood as a form of political exclusion and grievance-based violence, comparable to other forms of political violence. Further, violent Islamist groups emerge from local conditions: the areas in which groups are established share similar local experiences of governance and political marginalisation; a history of violent conflict on which Islamist militants capitalise; and key triggering events expanding or reinforcing state exclusion. These findings challenge a narrative emphasising the global, interconnected nature of Islamist violence. This article pairs data from the Armed Conflict Location & Event Dataset (ACLED) with Afrobarometer survey data and case study evidence to identify drivers of Islamist violence across three African countries.

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This paper 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 areas. They are timelier in the immediate period surrounding elections. Records from ACLED have a wider geographic reach, and are relatively more numerous than Twitter in rural and less wealthy areas. They are timelier and more consistent in the run-up to and following elections. While neither source can reveal the ‘true’ violence that occurred, the findings point to the value of drawing on a constellation of various source types given their complementary advantages.