Cyberpsychology,Behavior,and Social Networking

Starting from the escalating global burden of mental health disorders, exacerbated by the COVID-19 pandemic, the article examines the potential of artificial intelligence (AI) to revolutionize mental health care. With nearly one in five adults facing mental health issues and suicide ranking as a leading cause of death among the young, the strained mental health system seeks innovative solutions. The text discusses the rapid evolution of AI, particularly in image analysis for early physical health diagnoses, and its promising applications in mental health, including predictive analytics for various disorders. AI's ability to analyze written language, speech characteristics, and physiological signals from wearables offers avenues for remote monitoring and early prognosis. Despite the need to address ethical considerations, particularly biases in data sets and concerns about potential patient detachment, the article advocates for AI as a complementary tool rather than a replacement for human involvement in mental health services. Overall, the article emphasizes the transformative potential of AI in enhancing diagnostics, monitoring, and treatment strategies for mental health disorders.

The objectives of this research were to examine the contextual factors that impact individual's interpretation of their responsibility in the context of Deepfake videos. Using a test/retest methodology, a total of 1,023 respondents participated in a Deepfake survey instrument which measured perceptions of individual responsibility with respect to Deepfakes, individual concern with Deepfakes, and humorous perception of Deepfakes. The results of the study found that individual responsibility is negatively related to individual concern, indicating the externalization of responsibility for difficult to detect fake online videos designed to be convincing. Further, humorous perception and age impact the participants perception of individual responsibility. Younger participants were more likely to find Deepfakes humorous and this increased their perception of their own responsibility, potentially exposing them to greater harm from malicious Deepfakes.

Sexting is a form of intimate communication available in today's digital society consisting of exchanging erotic-sexual content online. However, doing it without the consent of the person appearing in the content is becoming a normalized form of cyberviolence among adolescents. To advance our understanding of this phenomenon, further research is needed on its facilitating factors, which may include those related to its potential moral dimension and online disinhibition. This study aims to analyze, according to gender and age, the relationship between nonconsensual forwarding of erotic-sexual content, differentiating between the type of content and the gender of the person appearing in it, moral disengagement, and toxic online disinhibition. A total of 1,611 adolescents (47.9 percent girls) aged 12–15 years (M = 13.4; SD = 1.0) participated in the study. Moral disengagement and toxic disinhibition have been shown to facilitate nonconsensual forwarding of erotic-sexual content, but their relevance varies depending on the type of content, and whether girls or boys appear in it. Facilitating factors for nonconsensual forwarding of content featuring boys include age, the diffusion of the consequences, and toxic online disinhibition. For girls, identifying with the male gender and cognitive restructuring were the main facilitators. These findings represent an original advance in the field of study by discriminating between the type of content forwarded and the gender of the person who appears in it. The differences found contribute toward explaining the processes that lead to making immoral decisions when sexting and help lay the foundations for designing psychoeducational programs in the future.

Relationship Obsessive Compulsive Disorder (ROCD) is a form of obsessive–compulsive disorder that manifests in the relationship domain, such as romantic relationships. Within romantic relationship, ROCD symptoms could be focused on flaws perceived on the relationship itself (ROCD relationship-centered) or on the partners' quality (ROCD partner-focused). These symptoms are associated with negative relationship outcomes, such as low relationship satisfaction. However, no studies have yet addressed the role of relationship quality in the context of ROCD. Furthermore, previous studies have shown the detrimental role of social media use and maximization style in obsessive–compulsive symptoms and the romantic relational domain; however, the associations with ROCD symptoms have not yet been explored. Thus, this study aimed to close this gap examining the associations between ROCD symptoms (relationship-centered and partner-focused) and relationship quality, social media addiction, and maximization style. A total of 211 participants currently involved in a romantic relationship (71.1 percent female, mean age = 30.4 ± 11.54 years) participated in the study. Multiple hierarchical regression analyses revealed that relationship quality, social media addiction, and maximization style emerged as being significantly associated with relationship-centered and partner-focused ROCD symptoms. The results highlighted potential risk factors for ROCD symptoms in romantic relationships, namely relationship quality, social media addiction, and maximization style. These psychological dimensions could be identified as possible targets in the assessment and treatment of ROCD symptoms.

Virtual reality (VR) is an attractive technology for cognitive assessment, as it provides a more embodied experience compared with typical test situations, such as those using paper and pencil. In addition, VR can immerse individuals in complex situations similar to real-life ones, thereby improving the ecological validity (i.e., face validity) of the assessment. VR also offers improved scoring of tests as it facilitates the tracking of kinematic information and the temporal tracking of activities. This study assesses the correlation between scores on executive function assessments using standard neuropsychological tasks in paper-and-pencil format, on a tablet, and in three immersive VR environments, each designed to involve specific aspects of executive function. This study also aims to assess the correlation between these performance scores and a set of kinematic measures (speed, duration, and distance traveled by the hand) collected in VR. The outcomes, including performance scores and kinematic measures, correlate both with traditional assessment methods (such as paper and pencil, and computerized 2D tests) and with each other, suggesting their potential usefulness in clinical and research contexts. The discussion focuses on the advantages of embodied, situated, and spatialized tests for cognitive assessment and the benefits of kinematic tracking in VR tests for the quality of this assessment.

Autism Spectrum Disorder has seen a drastic increase in prevalence over the past two decades, along with discourse rife with debates and misinformation. This discourse has primarily taken place online, the main source of information for parents seeking information about autism. One potential tool for navigating information is ChatGPT-4, an artificial intelligence question and answer-style communication program. Although ChatGPT shows great promise, no empirical work has evaluated its viability as a tool for providing information about autism to caregivers. The current study evaluated answers provided by ChatGPT, including basic information about autism, myths/misconceptions, and resources. Our results suggested that ChatGPT was largely correct, concise, and clear, but did not provide much actionable advice, which was further limited by inaccurate references and hyperlinks. The authors conclude that ChatGPT-4 is a viable tool for parents seeking accurate information about autism, with opportunities for improvement in actionability and reference accuracy.

Content moderators (CMs) analyze and remove offensive or harmful user generated content that has been uploaded to the internet. Jobs which involve exposure to other people's suffering are associated with raised rates of secondary traumatic stress and mental health problems. However, research establishing psychological baseline symptoms in CMs is lacking. This study used an online survey to explore rates of psychological distress, secondary trauma, and well-being in a sample of CMs. Regression analysis explored how various features of the work affected mental health. There was a dose–response effect between frequency of exposure to distressing content and psychological distress and secondary trauma, but not well-being. The results suggested supportive colleagues and feedback about the importance of their role ameliorated this relationship. Implications for CM working conditions are discussed.

The exploration of underlying mechanisms leading to the development of smartphone addiction has been limited, with only a few studies incorporating theories to provide explanations. Drawing upon the Dual Systems Model, this study tested the hypothesis that the reflective system of self-regulation would mediate the relation between the reflexive system of impulsivity and narcissism, and smartphone addiction in a sample of 298 undergraduate students. Participants completed a self-administrated web-based questionnaire containing measures of impulsivity (the Barratt Impulsiveness Scale), narcissism (the Narcissistic Personality Inventory), self-regulation (the Self-Regulation Scale), and smartphone addiction (the Smartphone Addiction Inventory). The findings from structural equation modeling revealed that self-regulation served as a significant mediator between impulsivity and smartphone addiction, as well as between narcissism and smartphone addiction. These findings offer insights that can contribute to the development of interventions and strategies that target impulsivity and narcissism by enhancing self-regulation skills.