Perception of emotional facial expressions in aggression and psychopathy.

BACKGROUND: Altered affective state recognition is assumed to be a root cause of aggressive behavior, a hallmark of psychopathologies such as psychopathy and antisocial personality disorder. However, the two most influential models make markedly different predictions regarding the underlying mechanism. According to the integrated emotion system theory (IES), aggression reflects impaired processing of social distress cues such as fearful faces. In contrast, the hostile attribution bias (HAB) model explains aggression with a bias to interpret ambiguous expressions as angry. METHODS: In a set of four experiments, we measured processing of fearful and angry facial expressions (compared to neutral and other expressions) in a sample of 65 male imprisoned violent offenders rated using the Hare Psychopathy Checklist-Revised (PCL-R, Hare, R. D. (1991). The psychopathy checklist-revised. Toronto, ON: Multi-Health Systems) and in 60 age-matched control participants. RESULTS: There was no evidence for a fear deficit in violent offenders or for an association of psychopathy or aggression with impaired processing of fearful faces. Similarly, there was no evidence for a perceptual bias for angry faces linked to psychopathy or aggression. However, using highly ambiguous stimuli and requiring explicit labeling of emotions, violent offenders showed a categorization bias for anger and this anger bias correlated with self-reported trait aggression (but not with psychopathy). CONCLUSIONS: These results add to a growing literature casting doubt on the notion that fear processing is impaired in aggressive individuals and in psychopathy and provide support for the idea that aggression is related to a hostile attribution bias that emerges from later cognitive, post-perceptual processing stages.

Understanding Romantic Relational Aggression in Emerging Adults Using Latent Profile Analysis of Jealousy and Hostile Attribution Bias.

The present study sought to identify profiles of 753 emerging adults (62.5% females) with different levels of hostile attribution bias (HAB) and jealousy dimensions (i.e., cognitive, emotional, behavioral) and examined differences in their levels of romantic relational aggression (RoRAgg) across profiles. Participants were recruited from Greek universities and completed and online survey. Using a person-centered approach, Latent Profile Analysis indicated the presence of three profiles of participants: a) jealous and hostile intent attributers who had high scores on jealousy dimensions and HAB, b) low risk who scored low on jealousy and HAB, and c) emotionally jealous and moderate hostile intent attributers with moderate cognitive and behavioral jealousy as well as HAB, and high emotional jealousy. As predicted, jealous and hostile intent attributers scored higher on RoRAgg compared with emotionally jealous and moderate hostile intent attributers and low risk. The findings confirm previous research and are discussed in terms of their implications. Interventions targeting relational aggressor's hostile attributions, cognitive suspicions, and negative thoughts should be implemented to reduce RoRAgg.

The relationship between trait anger and reactive aggressive behavior in middle school students: the mediating role and intervention of hostile attribution bias.

BACKGROUND: The reactive aggressive behavior in individuals typically shows a rapid growth trend as individuals enter adolescence, and peaks during middle-school period. According to the Comprehensive Cognitive Model of Trait Anger, trait anger and hostile attribution bias play important roles in the development of reactive aggressive behavior. Based on this, current study explored the relationship between trait anger and reactive aggressive behavior in middle school students, as well as the mediating role of hostile attribution bias and interventions. METHODS: The current study consisted of three sub-studies. Study 1 recruited 87 middle school students with an average age of 12.367 ± 0.889 years, investigated the relationship between trait anger and reactive aggressive behavior, as well as the mediating role of trait hostile attribution bias. Study 2 recruited 62 middle school students with an average age of 13.376 ± 0.963 years, investigated the relationship between trait anger and reactive aggressive behavior, as well as the mediating role of state hostile attribution bias. Study 3 recruited 80 middle school students with an average age of 13.392 ± 0.977 years, implemented an intervention targeting trait hostile attribution bias in middle school students with high trait anger to reduce their reactive aggressive behavior. In current study, data management was performed using SPSS 22.0. Descriptive statistics, independent samples t-test, paired samples t-test, repeated measures analysis of variance (ANOVA), and path analysis were used for statistical analysis. FINDINGS: The results of Study 1 showed that trait anger predicted reactive aggressive behavior through trait hostile attribution bias. The results of Study 2 indicated that trait and state hostile attribution bias played mediating role intermediary, and trait hostile attribution bias had a stronger mediating effect than state hostile attribution bias. The results of Study 3 suggested that the intervention effectively decreased trait hostile attribution bias and reactive aggressive behavior. CONCLUSIONS: Trait anger can predict the reactive aggressive behavior of junior high school students, with trait hostility attribution bias and state hostility attribution bias mediating this relationship. Intervening in the hostility attribution bias of high-anger junior high school students can effectively reduce their reactive aggressive behavior.

The mediating role of hostile attribution bias in social exclusion affecting aggressive behavior.

Aggression is one of the public social issues affecting campus harmony and stability, and social exclusion is an important interpersonal contextual factor among many factors affecting aggression. However, studies examining the influence of social exclusion on aggression and its mediating mechanism are not systematic enough. Based on the general aggression model (GAM), we intend to explore the role of hostile attribution bias (HAB) in both trait and state levels of social exclusion, which leads to aggression through a combination of questionnaire and experimental methods. Study 1 surveyed 388 current high school students (Mage = 16.09, SD = 1.01) and found that HAB mediates the relationship between long-term social exclusion (trait level) and aggression tendency. Study 2 experimented with 181 high school students (Mage = 16.95, SD = 1.13) to examine whether short-term social exclusion (state level) after initiating the Cyberball paradigm could still influence aggressive behavior through the mediating role of HAB. Results found that the mediating role of HAB still holds. The findings of the study further enrich the GAM and have important implications for a more targeted approach to aggression prevention and intervention.

Is high exposure to antisocial media content associated with increased participation in malicious online trolling? exploring the moderated mediation model of hostile attribution bias and empathy.

Malicious online trolling is prevalent among Chinese college students and has recently garnered extensive attention from researchers due to the substantial harm it causes to the victims and the damage it inflicts on the online environment. Most previous studies have focused on examining how personal traits related to malicious online trolling. Further comprehensive research is needed to explore the mechanisms linking external environmental factors (antisocial media exposure) and malicious online trolling. A total of 1259 Chinese college students completed questionnaires regarding malicious online trolling, antisocial media exposure, hostile attribution bias, and empathy. The results indicated a positive association between antisocial media exposure and malicious online trolling among Chinese college students, with hostile attribution bias serving as a mediating factor. Furthermore, the direct and mediated paths between antisocial media exposure and malicious online trolling were moderated by empathy. Specifically, as the level of empathy increased among college students, the relations between the variables all weakened. Excessive exposure to antisocial media content among college students may trigger hostile attribution bias and lead to more malicious online trolling behavior. However, the relation between antisocial media exposure and malicious online trolling, hostile attribution bias and malicious online trolling, was attenuated when college students' empathy levels were high.

Autistic Traits and Aggressive Behavior in Chinese College Students: A Serial Mediation Model and the Gender Difference.

Background: The existence of aggressive behavior in autism spectrum disorders (ASD) raises questions about whether cognitive and emotional factors in social information processing play a role between autistic traits (ATs) and aggressive behavior in the general population, especially in the context of Chinese culture. Moreover, given a possible gender difference in these variables, the study aimed to examine the effect of ATs on aggressive behavior, and the potential mediating role of hostile attribution bias and alexithymia on this association, as well as gender difference. Methods: 850 Chinese college students participated in the assessment, including their ATs, hostile attribution bias, alexithymia, and aggressive behavior. Pearson correlation, mediation effects analyses, and multiple-group comparison were conducted. Results: The results indicated that ATs indirectly predicted increased aggressive behavior through attribution bias and alexithymia. Gender difference in mediating effects was revealed: ATs indirectly predicted increased aggressive behavior through the serial mediating effect only in males. Conclusion: Hostile attribution bias and alexithymia completely mediated the association between ATs and aggressive behavior, which contained the separate mediating effects of (a) hostile attribution bias and (b) alexithymia and the serial mediating effect of (c) hostile attribution bias and alexithymia. Gender differences in mediating effects were found only in the serial mediating effect, which was significant in males but not in females. The findings revealed the internal mechanism of ATs affecting aggressive behavior and gender difference, which have implications for the intervention of aggressive behavior of individuals with autism and those with high levels of ATs.

Hostile Attribution Bias Shapes Neural Synchrony in the Left Ventromedial Prefrontal Cortex during Ambiguous Social Narratives.

Hostile attribution bias refers to the tendency to interpret social situations as intentionally hostile. While previous research has focused on its developmental origins and behavioral consequences, the underlying neural mechanisms remain underexplored. Here, we employed functional near-infrared spectroscopy (fNIRS) to investigate the neural correlates of hostile attribution bias. While undergoing fNIRS, male and female participants listened to and provided attribution ratings for 21 hypothetical scenarios where a character's actions resulted in a negative outcome for the listener. Ratings of hostile intentions were averaged to measure hostile attribution bias. Using intersubject representational similarity analysis, we found that participants with similar levels of hostile attribution bias exhibited higher levels of neural synchrony during narrative listening, suggesting shared interpretations of the scenarios. This effect was localized to the left ventromedial prefrontal cortex (VMPFC) and was particularly prominent in scenarios where the character's intentions were highly ambiguous. We then grouped participants into high and low bias groups based on a median split of their hostile attribution bias scores. A similarity-based classifier trained on the neural data classified participants as having high or low bias with 75% accuracy, indicating that the neural time courses during narrative listening was systematically different between the two groups. Furthermore, hostile attribution bias correlated negatively with attributional complexity, a measure of one's tendency to consider multifaceted causes when explaining behavior. Our study sheds light on the neural mechanisms underlying hostile attribution bias and highlights the potential of using fNIRS to develop nonintrusive and cost-effective neural markers of this sociocognitive bias.

Validation of a new assessment of hostile attribution bias in romantic relationships: The Hostile Attributions in Romantic Relationships Test.

While hostile attributional bias (a tendency to interpret others' behaviors as intentionally hostile) is associated with negative outcomes in romantic relationships, no measure has been developed specifically for this context. Here, we describe the development and validation of a self-report questionnaire across three studies, named Hostile Attribution in Romantic Relationships Test. Study 1 introduces the development and preliminary validation (N = 152). Study 2 tests the validity and test-retest stability of the modified version revised based on findings in Study 1 (N = 151). Study 3 reports the translation and validation of a Chinese version (N = 630). The final 9-vignette scale is the first to specifically measure hostile attribution bias in romantic relationships, with good internal reliability, test-retest stability, and convergent validity. Factor analysis reveals a three-factor structure reflecting direct hostile attribution, indirect hostile attribution, and benign attribution to partners' behaviors. Implications regarding couple dynamics and clinical therapeutic interventions are discussed.

The impact of patients' hostile attribution bias on aggression in doctor-patient interactions.

Background: Doctor-patient conflict is trending in social attention research. However, the existing literature rarely explores whether a patient's hostile attribution bias (HAB) in the doctor-patient interaction affects the aggression level against doctors. Objective: This study aimed to explore the relationship and mechanism between different types of HAB and aggression in patients. Method: In Study 1, 80 patients completed the word sentence association paradigm for hostility (WSAP-Hostility), and their explicit and implicit aggression levels were measured using the hot sauce paradigm and the single-category implicit association test (SC-IAT), respectively. In Study 2, 63 patients were randomly divided into an experimental (rejection) and a control group. Their state hostile attribution bias (SHAB) was activated through social rejection materials. They completed the SHAB questionnaire and anger expression inventory, and their explicit and implicit aggression levels were measured as in Study 1. Results: In both studies, results indicated that patients' trait and state HAB were significantly related to explicit aggression but not implicit aggression. Hostile interpretation positively predicted explicit aggression, whereas benign interpretation had a negative predictive effect on explicit aggression. Patients' anger played a mediating role between SHAB and explicit aggression. Conclusions: These findings suggest that patients' HAB affects explicit aggression toward doctors and anger plays a mediating role.

Unraveling the Complex Interactions of Psychological Factors Contributing to Cyber Reactive Aggression Among College Students: Network and Mediation Analyses.

Cyber reactive aggression (CRA) among college students is a prevalent and harmful phenomenon. Psychological characteristics, such as trait anger (TA), hostile attribution bias (HAB), and revenge motivation (RM), are known to contribute to reactive aggression. However, the interactions between these factors in the context of cyberspace and their contribution to CRA among college students have not been extensively studied. This cross-sectional study aimed to identify the associations among psychological characteristics, demographic factors, and CRA among Chinese college students through Mixed Graphical Model (MGM) network and mediation effect analyses. A total of 926 participants completed questionnaires assessing TA, HAB, RM, and CRA. The study found both direct and indirect relationships between TA and CRA, with HAB and RM serving as mediating factors. Comparisons indicated that HAB had a more significant impact on the three indirect effects than RM. Furthermore, gender was found to be associated with TA and CRA, while the left-behind experience strongly influenced HAB but had no association with other variables. This study highlights the importance of considering psychological characteristics and demographic factors in understanding CRA among college students, suggesting that effective psychological interventions, such as anger management, and promoting positive attribution training, may help reduce CRA among college students and inform the development of targeted interventions to reduce cyber aggression.

Hostile attribution bias's role in perceived stress among college freshman students: A latent growth modelling approach.

This study's objective was to examine the growth trajectories of freshman students' perceived stress and whether hostile attribution bias predicts the pattern of perceived stress change using latent growth analyses. A longitudinal dataset with fourth measurement points was gathered from a total of 1109 college students enrolled at a university in Guizhou Province in the first 3 months after college freshmen enrollment. The freshman students' levels of perceived stress tend to show a piecewise linear decline during the transition period, which manifests as a faster decline in the first stage (within the first month) than in the second stage (after the first month). Moreover, hostile attribution bias not only positively predicted the initial level of perceived stress but also positively predicted the slope of perceived stress in the first and second stages. In addition, there was a significant sex difference in the initial level of perceived stress where the initial level of perceived stress was higher in females than in males, but there was no significant sex difference in the rate of perceived stress decline. These results highlight the longitudinal relationship between hostile attribution bias and perceived stress and have implications for improving freshmen' college adaptation.

Longitudinal Associations Between Interpersonal Distrust and Social Aggression During College: Disentangling the Within-Person Process from Stable Between-Person Differences.

There is a dearth of information on the relationship between interpersonal distrust and social aggression in the youth, although both may lead to negative interpersonal relationships. Furthermore, scholars have not explored whether interpersonal distrust influences later social aggression over time at the within-person level. This study used five wave longitudinal data to investigate the longitudinal association between interpersonal distrust and social aggression and the role of hostile attribution bias in this relationship; notably, it used a relatively rigorous approach-the random intercept cross-lagged panel model-to disentangle within-person processes from stable between-person differences. The final number of participants included 1053 undergraduate students (677 female students and 376 male students), and 64.3% were female students, with a mean age of 18.45 years (SD = 0.95) at first measurement. Participants completed assessments for interpersonal distrust, hostile attribution bias, and social aggression at five time points across 6-month intervals. At the within-person level, the results revealed that interpersonal distrust was a predictor of later social aggression and that hostile attribution bias acted as a longitudinal mediator in this relationship. This result indicates that to enhance interpersonal harmony and reduce individual hostility and aggression toward others, intervention programs should aim to reduce interpersonal distrust.

Effects of relative deprivation on change in displaced aggression and the underlying motivation mechanism: A three-wave cross-lagged analysis.

Displaced aggression refers to pernicious acts against innocent people. To date, little is known about mechanisms underlying dynamic changes in displaced aggression. The present study constructed a cross-lagged model to examine the dynamic effects of relative deprivation on displaced aggression and the mediation mechanisms underlying these effects. A total of 1130 undergraduate students participated in this three-wave longitudinal study. The results showed that relative deprivation predicted changes in displaced aggression through concurrent changes in levels of hostile attribution bias and moral disengagement. Hostile attribution bias and moral disengagement could predict each other longitudinally. The relationships between relative deprivation and displaced aggression, and relative deprivation and hostile attribution bias were mutual. This multiple mediation model with two mutually predicting mediators was explained from the aggressive motivation perspective. The findings help inform aggression theories and have implications for the prevention of and interventions against displaced aggression.

The Role of Parent-Child Attachment, Hostile Attribution Bias in Aggression: A Meta-Analytic Review.

Parent-Child Attachment (PCA) and Hostile Attribution Bias (HAB) are closely related to aggression, but findings regarding their relationships are inconsistent. There is a lack of understanding of the underlying mechanism between PCA and aggression. This review employed meta-analysis approaches to investigate the associations between PCA and aggression, as well as between HAB and aggression, and the mechanism for the PCA-aggression association. An article search was conducted in CNKI, PubMed, PsycINFO, Web of Science, ProQuest, and Google Scholar. Totally, 118 studies involving general populations and those at high risk for aggression were included. Results revealed negative associations between Parent-Child Attachment Security (PCAS) and aggression (ρ = -.267, p < .001) and positive associations between Parent-Child Attachment Insecurity (PCAI) and aggression (ρ = .240, p < .05). HAB and aggression were found to be positively associated (ρ = .303, p < .001). As for the PCAS-aggression association, a larger effect size was found in females than in males. The HAB-reactive aggression association was stronger than the HAB-proactive aggression association. In Eastern culture, the association between HAB and aggression was stronger than in Western culture. HAB mediated the association between PCAS and aggression. Our findings contribute to the understanding of the occurrence and development of aggression by establishing an association between attachment theory and the social information processing model. The practical implications include interventions targeting cultivating PCAS and alleviating HAB, which might serve as effective ways to reduce aggression, yet aggression type, gender, and cultural background should be taken into consideration.

Variants of Callous-unemotional traits in childhood: investigation of attachment profile and hostile attribution bias.

There is increasing evidence of interest in describing two variants of CallousUnemotional (CU) traits based on high (secondary variant) or low (primary variant) levels of anxiety. However, studies are limited in childhood. The present study aimed to further the understanding of the variants, specifically in association with hostile attribution bias (HAB) and attachment. In a community sample of children aged 4 to 9 (N = 70), the study examined whether anxiety moderated the association of CU traits with HAB, secure and disorganized attachment representations. Hierarchical regression analyses revealed that CU traits were positively associated with disorganized attachment, regardless of the anxiety level. In contrast, CU traits were not associated with secure attachment. A significant interaction revealed that CU traits were positively associated with HAB only at high levels of anxiety. Implications for understanding the variants of CU traits and hypotheses regarding their developmental trajectories are discussed.

[The influencing factors of functional somatic discomfort in clinical nurses].

Objective: To investigate the functional somatic discomfort status, and to analyze the effect of job stress, hostile attribution bias and ego depletion on functional somatic discomfort in clinical nurses. Methods: In May 2019, 10 cities in Henan Province and Fujian Province were randomly selected as sampling cities. Using the stratified cluster sampling method, nurses of clinical nursing posts in 22 third class hospitals and 23 second class hospitals were selected as the research objects. The general information, job stress, hostile attribution bias, ego depletion and functional somatic discomfort of clinical nurses were investigated by self-designed general information questionnaire, Perceived Stress Scale, Social Information Processing-attribution Bias Questionnaire, Self-regulatory Fatigue Scale, Patient Health Questionnaire-15. 1200 clinical nurses included, and a total of 1159 valid questionnaires were collected, the effective rate of questionnaire collection was 96.6%. The t test was used to compare the difference of the functional somatic discomfort scores of clinical nurses with different demographic characteristicst. The influence of job stress, hostile attribution bias and ego depletion on functional somatic discomfort of clinical nurses were analyzed with Bootstrap. Results: The functional somatic discomfort score of clinical nurses was (8.95±4.38), of which 859 (74.12%) had functional somatic discomfort symptom. The functional somatic discomfort score of clinical nurses aged 36-50 years old was higher than that of 19-35 years old, the functional somatic discomfort score of clinical nurses with service age ≥5 years was higher than that of <5 years, the functional somatic discomfort score of non-permanent clinical nurses was higher than that of permanent clinical nurses, the functional somatic discomfort score of clinical nurses in tertiary hospitals was higher than that of secondary hospitals, the functional somatic discomfort score of clinical nurses in surgical departments were higher than those in non-surgical departments, and the differences were statistically significant (P<0.05). Job stress affected functional somatic discomfort through the single mediating role of hostile attribution bias, the single mediating role of ego depletion, and the chain mediating role of hostile attribution bias and ego depletion (ß=0.17, 95%CI: 0.10-0.20; ß=0.16, 95%CI: 0.10-0.20; ß=0.07, 95%CI: 0.03-0.10; P<0.05) . Conclusion: The functional somatic discomfort symptoms of clinical nurses are significant and varied among different age, working age, employment form, hospital grade and department groups. They are affected by work stress directly and through the separate mediating effect of hostile attribution bias and ego depletion, and the chain mediating effect of hostile attribution bias and ego depletion.

Relationship between Harsh Parenting and Aggressive Behaviors in Male Juvenile Delinquents: Potential Mediating Roles of Peer Victimization and Hostile Attribution Bias.

Harsh parenting can be regarded as a harsh behaviors, feelings, and attitudes toward children in the process of parenting. According to the theory of intergenerational transmission of violence, harsh parenting is an important factor affecting children's aggressive behavior, but the theory does not clarify the specific action path between harsh parenting and aggressive behavior. In order to reveal the relationship between harsh parenting and the aggressive behavior of juvenile delinquents, 604 male juvenile delinquents (N = 604; Mage = 16.57 years; SD = 0.612 years) were investigated using the Harsh Parenting Questionnaire, the Buss-Perry Aggression Questionnaire, the Multidimensional Peer Victimization Scale, and the Word Sentence Association Paradigm for Hostility in Chinese. Analysis using structural equation modeling procedures showed that (a) all variables were positively associated with each other; (b) the partial indirect effect of harsh parenting on aggressive behaviors was determined through the mediators of peer victimization and hostile attribution bias independently; and (c) the partial indirect effect was determined through the mediators of peer victimization and hostile attribution bias sequentially. The results suggest that harsh parenting can explain the highly aggressive behavior of male juvenile delinquents. Moreover, harsh parenting may also predict the risk of peer victimization and hostile attribution bias, thereby predicting the development of highly aggressive behaviors.

The Effects of Covert Narcissism on Chinese College Students Cyberbullying: The Mediation of Hostile Attribution Bias and the Moderation of Self-Control.

Purpose: The prevalence of cyberbullying has increased along with the growth of social media, which has brought about many adverse effects on individual development. The current study aimed to explore the connection between covert narcissism and cyberbullying and to test the roles of hostile attribution bias and self-control in the relationship between covert narcissism and cyberbullying. Materials and Methods: A total of 672 Chinese college students filled up questionnaires measuring covert narcissism, cyberbullying, hostile attribution bias, and self-control. Results: The results indicated that covert narcissism positively and significantly predicted cyberbullying. Hostile attribution bias partially mediated the relationship between covert narcissism and cyberbullying. Additionally, self-control moderated the relationship between covert narcissism and cyberbullying. Specifically, the positive predictive effect of covert narcissism on cyberbullying gradually weakened as self-control improved. Conclusion: This study explored the underlying mechanism of cyberbullying and found that covert narcissism could affect cyberbullying through hostile attribution bias. Self-control moderated the relationship between covert narcissism and cyberbullying. The results have significant implications for the intervention and prevention of cyberbullying and additional evidence for the relationship between covert narcissism and cyberbullying.

Effects of interpretation bias modification on hostile attribution bias and reactive cyber-aggression in Chinese adolescents: a randomized controlled trial.

Highly aggressive individuals tend to interpret others' motives and intentions as hostile in both offline and online social situations. The current study examined whether hostile interpretation bias can be modified to influence cyber-aggression in Chinese middle school students using an interpretation bias modification program. Gender differences and the heterogeneity of cyber-aggression were also investigated since previous studies suggest that they play important roles in determining the intervention effect. One hundred and twenty-one middle school students were randomized to receive either an eight-session interpretation bias modification task (CBM-I; n = 61) or an eight-session placebo control task (PCT; n = 60) over four weeks. Measures of hostile attribution bias and cyber-aggression were administered at baseline, post-training, and at one week follow-up. Results showed that compared to PCT, participants in CBM-I showed a significant reduction in reactive cyber-aggression. However, contrary to our expectation, there was no significant difference between the two groups in the reduction of hostile attribution bias after training. The moderated mediation analysis revealed that the effect of CBM-I on hostile attribution bias and the mediating role of hostile attribution bias in the relationship between CBM-I condition and reactive cyber-aggression was only observed among females, but not among males. These findings provide initial evidence for the potential of CBM-I in reducing hostile attribution bias and cyber-aggression. However, for male students, CBM-I might not be effective enough as expected. Supplementary Information: The online version contains supplementary material available at 10.1007/s12144-023-04433-3.

Why narcissists are more likely to be aggressive? The role of hostile attribution bias.

Narcissism is commonly associated with aggressiveness, but the underlying mechanisms of this relationship are still not yet fully understood. Based on previous research showing that narcissists are suspicious, the present research investigated whether hostile attribution of intent could explain the relationship between narcissism and aggression. In Study 1, participants (N = 347) completed a self-report measure of grandiose narcissism (Narcissistic Personality Inventory) and a measure of hostile attribution bias (Social Information Processing-Attribution Emotion Questionnaire). Analyses revealed that narcissism was a strong predictor of hostile attribution bias, angry feelings, and aggressive reactions. Moreover, hostile attribution bias appeared to mediate the relation between narcissism and aggressive reactions. Study 2 (N = 130) replicated the findings of Study 1 using a measure of vulnerable narcissism (Hypersensitive narcissism scale). In addition, perspective taking was manipulated in Study 2 and the results showed that participants in the high perspective-taking condition (vs. low perspective taking) were less likely to make hostile attributions. These findings suggest that hostile attribution of intent is particularly relevant to understand narcissistic aggression. (170 words).