For years, the U.S. government has been waging counterterrorism campaigns against al-Qaida and other armed groups in safe havens and weak states. What explains the effectiveness of such campaigns? The variation in effectiveness may result from differences in select tactical, organizational, and technological capabilities of the counterterrorism state and its local partner, captured by the concept of the Legibility and Speed-of-Exploitation System (L&S). Empirical studies, including novel fieldwork data, on the U.S. drone war in Pakistan's Waziristan region from 2004 to 2014 reveal the influence of the L&S on targeted groups. From 2004 to 2007, a lack of U.S. counterterrorism capabilities aligning with the L&S allowed both al-Qaida and the Pakistan Taliban to build their operational infrastructure, expand their bases, engage in extensive recruitment drives, and broker important local alliances. In contrast, as the United States made substantial improvements in the L&S from 2008 to 2014, the campaigns against both groups became increasingly effective. Both al-Qaida and the Pakistan Taliban experienced sustained reductions in operational capabilities, losses of bases, and high desertion rates; they also faced growing political challenges, including from within their own organizations. These findings contrast with the view that counterterrorism offers short-term gains at best and is counterproductive at worst.

We investigate the impact of the US drone program in Pakistan on insurgent violence. Using details about US-Pakistan counterterrorism cooperation and geocoded violence data, we show that the program was associated with monthly reductions of around nine to thirteen insurgent attacks and fifty-one to eighty-six casualties in the area affected by the program. This change was sizable, as in the year before the program, the affected area experienced around twenty-one attacks and one hundred casualties per month. Additional quantitative and qualitative evidence suggests that this drop is attributable to the drone program. However, the damage caused in strikes during the program cannot fully account for the reduction. Instead, anticipatory effects induced by the program played a prominent role in subduing violence. These effects stemmed from the insurgents’ perception of the risk of being targeted in drone strikes; their efforts to avoid targeting severely compromised their movement and communication abilities, in addition to eroding within-group trust. These findings contrast with prominent perspectives on air-power, counterinsurgency, and US counterterrorism, suggesting select drone deployments can be an effective tool of counterinsurgency and counterterrorism.

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Social media is frequently an arena of intense competition among major political actors across the world. We argue that a fruitful way of understanding this competition is as coalitions among key actors and their networks of followers. These coalitions can both advance a shared political message and target mutual rivals. Importantly, coalitions can be tacit or explicit, and they do not necessarily depend on direct state manipulation or repression, although they often do. This makes a coalitional framework particularly valuable for studying complex political environments in which online actors blend cooperation and competition. Empirically, we show the value of this approach with novel data collection and analysis of Twitter and Facebook content from 2018–19 in Pakistan, with a focus on the dynamics leading up to and following the controversial 2018 general election. We map out networks of narrative alignment and conflict on Pakistani social media, providing important insights into the relationships among the major political parties, military, media, and dissidents. Future research can fruitfully explore the causes and effects of powerful social media coalitions.

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