Positive University Environment and Agreeableness as Protective Factors Against Antisocial Behavior in Mexican University Students

Prediction of self-efficacy in recognizing deepfakes based on personality traits

Background: While deepfake technology is still relatively new, concerns are increasing as they are getting harder to spot. The first question we need to ask is how good humans are at recognizing deepfakes - the realistic-looking videos or images that show people doing or saying things that they never actually did or said generated by an artificial intelligence-based technology. Research has shown that an individual's self-efficacy correlates with their ability to detect deepfakes. Previous studies suggest that one of the most fundamental predictors of self-efficacy are personality traits. In this study, we ask the question: how can people's personality traits influence their efficacy in recognizing deepfakes? Methods: Predictive correlational design with a multiple linear regression data analysis technique was used in this study. The participants of this study were 200 Indonesian young adults. Results: The results showed that only traits of Honesty-humility and Agreeableness were able to predict the efficacy, in the negative and positive directions, respectively. Meanwhile, traits of Emotionality, Extraversion, Conscientiousness, and Openness cannot predict it. Conclusion: Self-efficacy in spotting deepfakes can be predicted by certain personality traits.

Behavioral Activation System and Early Life Parental Abuse Are Associated with Antisocial Behaviors in Mexican Adolescents

Antisocial behavior (AB) is a complex phenomenon, predicted by a wide range of biological, environmental, and personality factors. These have high human and economic costs especially in adolescents, highlighting the importance of investigating factors that may be associated with these behaviors. Among the most potent predictors of AB are early life experiences and personality. To this end, the present study sought to investigate the association between early life parental abuse and behavioral activation system (BAS) personality traits assessed within the reinforcement sensitivity theory (RST) framework and antisocial behaviors in Mexican adolescents. Our sample consisted of 342 adolescents (Mage = 17, SD = 2.47) from northwestern Mexico. Participants, after parental consent and participant consent/assent (if minors), self-reported early life parental abuse, current BAS personality traits, and antisocial behaviors. Through structural equation models, our results suggest there is a positive association between early life parental abuse and antisocial behaviors, as well as a negative association with BAS personality traits (R2 = 37%). These results contribute to the current literature by suggesting that personality and environmental variables can predict adolescent antisocial behaviors. Future studies should explore the interplay between these variables longitudinally and investigate both risk and protective factors, as well as negative and positive outcomes.