Harsányi, GézaGézaHarsányiRaab, MariusMariusRaab0000-0002-1018-745XHesslinger, Vera M.Vera M.HesslingerDüclos, DeniseDeniseDüclosZink, JaninaJaninaZinkCarbon, Claus-ChristianClaus-ChristianCarbon0000-0002-3446-93472019-09-192013-07-1520120301-0066https://fis.uni-bamberg.de/handle/uniba/1707Nur AbstractAl-Qaida’s founder Osama bin Laden wore highly iconic paraphernalia (Carbon, 2008 Perception 37(5) 801–806), namely a turban and a characteristic beard. As the media consistently presented him in this distinctive style, his outward appearance formed a visual stereotype of Islamist terrorists that, in most cases, did not match the appearance of Islamist assassins. Using the multidimensional Implicit Association Test (md-IAT, Gattol et al, 2011 Plos One 6(1) e15849) we tested the effect of adding accordant stereotypical paraphernalia to male Caucasian faces (‘Muslim-version’): Compared to the original, non-manipulated versions, the ‘Muslim-versions’ were evaluated as being more irrational, unintelligent, unreliable and, particularly, as being more dangerous. Importantly, non psychologists’ and psychologists’ data did not show any significant difference concerning these implicit measures but did so for explicit measures assessed by a further test. This dissociate data pattern demonstrates that iconic presentations elicit stereotypical associations independently of explicit reports. We argue that visual attributes like a particular kind of beard and a turban are associated with conformity to Islam, which is again associated with terrorist threat. More generally, the results suggest that the mere presence of visual attributes can induce implicit black-and-white categorization and undifferentiated prejudice toward people of other cultures.engface perceptionislamophobiaiconic face representationmulti-dimensional Implicit Association Test (md-IAT)The face of terrorism: Stereotypical Muslim facial attributes evoke implicit perception of threatconferenceobjecthttp://www.perceptionweb.com/ECVP.htmlhttp://www.perceptionweb.com/abstract.cgi?id=v120209