Cyberpsychology, behavior and social networking最新文献

The vast majority of college-aged students use social networking sites (SNS) to foster connectedness and enable networking. In addition, SNS allow individuals to control their online self-presentation. This may lead to incongruence between students' actual selves and their curated online selves, thereby damaging one's self-perception by increasing social comparison orientation. The goal of this article was to investigate the relationship between SNS use and self-concept that has not yet been explored in depth among the postsecondary population. Utilizing Arksey and O'Malley's methodological framework, a scoping review of the published literature was conducted. A total of 41 articles were included in the review. Three overarching themes were extracted from the findings. The first theme found that consistent exposure to the thin ideal and fitspiration posts across various SNS were linked to increased body dissatisfaction. The second theme found that engaging in online academic or ability-based comparisons resulted in a worsened mental state among postsecondary students. The third theme found that one's SNS followers or the number of "likes" received have mixed effects on student self-concept. Through gaining an improved understanding of the SNS stressors that contribute to students' mental health from this review, postsecondary institutions can implement more targeted interventions to bolster student wellbeing.

Social media have transformed peer relationships among adolescents, providing new avenues to attain online status indicators such as likes and followers. This study aimed to explore the associations between various dispositional and social factors and digital status-seeking behaviors among a sample of adolescents (N = 731; M_age = 14.69, 48.7 percent female), as well as explore potential gender differences in the examined associations. Sociometric nominations for digital status-seeking, likeability, and popularity were collected, and participants self-reported their social media use frequency, awareness of social media positivity bias, reward sensitivity, and gender. The findings revealed a positive relationship between sociometric popularity and digital status-seeking, whereas likeability displayed a negative association with digital status-seeking. These results emphasize the importance of distinguishing between different social status indicators in understanding online behaviors. Reward sensitivity did not show a significant link to digital status-seeking, and awareness of social media positivity bias heightened the likelihood of being nominated as a digital status-seeker. These findings underscore the need for further research, especially focusing on girls who appear to be more vulnerable to engaging in digital status-seeking behaviors.

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.

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.

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.

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.