Twenty years after 9/11, the impact of terrorism on social and political attitudes remains unclear. Several large-scale surveys suggest that terrorism has no discernible effects on direct, self-report measures of prejudice toward Arab-Muslims. However, direct measures may lack the sensitivity to detect subtle underlying attitudes that are considered socially unacceptable to openly express. To tap these subtle reactions, we assessed more sensitive and implicit measures of the cognitive–affective aspects of prejudice. Building on the justification–suppression model of prejudice, we hypothesized that terrorist attacks increase implicit bias toward Arab-Muslims, especially among individuals who are unable to regulate automatic hostile reactions due to personality or situational variables. Study 1, using data from Project Implicit (N = 276,311), showed that terrorist attacks increased implicit bias but not expressed prejudice toward Arab-Muslims. Study 2, using data from Google Trends, showed that terrorist attacks increased anti-Islamic searches on the internet. Four studies that collected original data (total N = 851) showed that the effects of reminders of terrorism on anti-Islamic implicit bias are moderated by individual differences in prejudice and automaticity (Studies 3–4), by the strength of implicit Muslim–terrorist associations (Study 5), and by momentary self-control depletion (Study 6). Overall, the present research indicates that despite little evidence for elevated overt expression of prejudice against Arab-Muslims following terrorist attacks, terrorist attacks increase anti-Islamic implicit bias whenever individuals are unlikely to control automatic hostile reactions.
Twenty years after 9/11, the impact of terrorism on social and political attitudes remains unclear. Several large-scale surveys suggest that terrorism has no discernible effects on direct, self-report measures of prejudice towards Arab-Muslims. However, direct measures may lack the sensitivity to detect subtle underlying attitudes that are considered socially unacceptable to openly express. To tap these subtle reactions, we assessed more sensitive and implicit measures of the cognitive–affective aspects of prejudice. Building on the justification-suppression model of prejudice, we hypothesized that terrorist attacks increase implicit bias towards Arab-Muslims, especially among individuals who are unable to regulate automatic hostile reactions due to personality or situational variables. Study 1, using data from Project Implicit (N = 276,311), showed that terrorist attacks increased implicit bias but not expressed prejudice towards Arab-Muslims. Study 2, using data from Google Trends, showed that terrorist attacks increased anti-Islamic searches on the Internet. Four studies that collected original data (Total N = 851) showed that the effects of reminders of terrorism on anti-Islamic implicit bias are moderated by individual differences in prejudice and automaticity (Studies 3–4); by the strength of implicit Muslim–terrorist associations (Study 5); and by momentary self-control depletion (Study 6). Overall, the present research indicates that despite little evidence for elevated overt expression of prejudice against Arab-Muslims following terrorist attacks, terrorist attacks increase anti-Islamic implicit bias whenever individuals are unlikely to control automatic hostile reactions.
This study investigates the relationship between dark personality traits, aggressive behavior in violent video games, and severe traffic violations among 200 driving offenders from Tehran, Iran, participating in a rehabilitation program. Participants engaged in a computerized shooting decision task, where their tendency to shoot unarmed targets (innocent victims), compared to armed targets (criminals), was used as an indicator of aggressive behavior toward innocent victims. Additionally, they completed self-report measures of narcissism, Machiavellianism, psychopathy, and sadism to evaluate the impact of Dark Tetrad personality traits on their behavior.Bivariate analyses revealed associations between Dark Tetrad personality traits and aggressive behavior in the video game with serious traffic offenses. Multivariate analyses identified Machiavellianism, sadism, and aggressive behavior in video games as significant predictors of severe traffic offenses. The results suggest that dark personality traits and aggressive behavior in video games may aid in better identifying road traffic offenders with the most severe violations. Potential implications for preventing repeated traffic offenses by tailoring rehabilitation programs are discussed.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.