
handle: 10945/56787
The types of attribution for influence activities span a spectrum that includes true attribution, non-attribution, concurring partner attribution, and false attribution. The U.S. Department of Defense sits in a unique position among U.S. agencies, as it must remain capable of conducting influence activities across that spectrum. This includes activities such as public affairs, military information support operations, and military deception. While U.S. military doctrine clearly defines and delineates the various types of attribution for influence activities and messages, notably absent is when and how attribution should be used. There is also little scholarly literature that specifically explores the issue of attribution. Despite this dearth of information, an analysis of historical cases can help identify the conditions best suited for the various types of attribution. This thesis explores those cases and identifies relative power as a potential variable to determine attribution. It tests the hypothesis that false and non-attribution methods are most effective when in a relatively weak position, and as operational success and relative power are achieved, influence activities with true attribution become more effective.
Approved for public release; distribution is unlimited.
http://archive.org/details/attributionininf1094556787
Major, United States Army
influence, World War II, psychological operations, IO, attribution, psychological warfare, PSYOP, military information support operations, Vietnam, MISO, information operations, Crimea, special operations
influence, World War II, psychological operations, IO, attribution, psychological warfare, PSYOP, military information support operations, Vietnam, MISO, information operations, Crimea, special operations
| 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
