The Nefarious Helping Hand
Anti-Corruption Campaigns, Social Service Provision, and Terrorism1
Bibliographic Data
| ID | 4871049 |
|---|---|
| Authors | Justin Magouirk (University of Michigan, corresponding author) |
| Year | 2008 |
| Volume | 20 |
| Issue | 3 |
| Pages | 356-375 |
| Publication date | 2008-07-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Terrorism and Political Violence (JOURNAL) |
| Journal identifiers | ISSN: 0954-6553 • E-ISSN: 1556-1836 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/09546550802073318 |
| OpenAlex | W1986029384 |
| Language | EN |
| Citations received | 2 |
This article offers a novel contribution to the terrorism literature by using mathematical modeling and case studies to demonstrate how terrorist and extremist groups can utilize social service provision activities and anti-corruption campaigns instead of violent activities to gain support.The basic argument of the model is that terrorist groups will try to gain support by promising that they will be better distributors of resources than the current regime once they gain power and by promising that they will be less corrupt. However, because all organizations can freely make these promises, their words are cheap talk, and the general population should ignore them. To overcome this problem, organizations must offer a costly signal. Provision of social goods and implementation of explicit anti-corruption campaigns before taking power serves as such a signal. As the United States government and its allies widen their “war on terrorism,” they must consider the ramifications of social service provision and anti-corruption activities, which are common, effective, and potentially useful for increasing the probability of group success
Business · Criminology · Language change · Political science · Public relations · Sociology · Terrorism · Crime, Illicit Activities, and Governance · Law · Terrorism, Counterterrorism, and Political Violence
| Unique citing works | 2 |
|---|---|
| Citations per year | 0.33 |
| Citation span | 2020 - 2022 (3) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 2 |