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Strategic Drones

Authors: Alfano, Marco; Clarr, Margaux; Marques Pereira, Jaime; Maystadt, Jean-Francois;

Strategic Drones

Abstract

US drone strikes are popular with the electorate and overseen by the President. This paper investigates whether the US President uses drone strikes strategically for political gain. We document that US drone strikes in Afghanistan, Pakistan, Somalia, and Yemen are significantly more likely before US elections, when popularity has high payoffs. We find no changes for unpopular, piloted airstrikes. Consistent with unusually high drone approvals, abnormally cloudy skies before US elections lead to a postponement or redirection of strikes to other target countries. To examine whether drone strikes are used strategically to divert attention from damaging media coverage, we gather closed captions from all cable TV coverage of the President and analyze their tone using natural language processing. Drone strikes are more likely in weeks when news anchors cover the President more negatively, a relation that holds both during and outside of election periods. We find no such relationship for piloted airstrikes or during weeks of high news pressure.

Related Organizations
Keywords

political economy, strategic timing, D72, ddc:330, H56, conflict, L82, D74, drone strikes

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green