Cyberpsychology, behavior and social networking最新文献

Cyberbullying has become an international concern among youth with autistic traits in the digital age. It draws the attention of professionals in mental health and education due to its potentially severe psychosocial and academic impacts. However, there is limited knowledge about the mediators for these associations. This study investigated whether school dysfunction and comorbid psychopathologies mediated the link between autistic traits and cyberbullying. We used a nationally representative sample of 9,483 students (9-14 years of age). The instruments included the Social Responsiveness Scale for autistic traits; the Cyberbullying Experiences Questionnaire for cyberbullying victimization and perpetration; the Swanson, Nolan, and Pelham, version IV for inattention, hyperactivity/impulsivity, and oppositional behaviors; the Child Behavior Checklist for anxiety/depression; and the Social Adjustment Inventory for Children and Adolescents for impaired school functions. Multiple mediation models were used for statistical analyses. The results showed that the 1-year prevalence rates of pure victims, pure perpetrators, and bully-victims of cyberbullying were 7.9 percent, 2.4 percent, and 5.7 percent, respectively. Cyberbullying victimization and perpetration were positively associated with autistic traits, school dysfunction, and comorbid psychopathologies. The associations between autistic traits and cyberbullying victims and bully-victims were significantly mediated by school dysfunction and hyperactivity/impulsivity (only for bully-victims), independent of sex and age. Our results suggest that early identification and intervention of these difficulties may mitigate the risks of cyberbullying. ClinicalTrials.gov ID: NCT02707848.

Video gaming is a popular pastime for young males, having been shown to have both positive and negative effects on players' mental health. The aim of the current study was to ascertain the rate that male video gamers may seek mental health support for mental ill-health generally. The secondary aims were to (a) identify the most prolific barriers to seeking help; (b) determine how confident this group is to seek help; and (c) whether the variance in help-seeking efficacy be explained, in part, by age, hours gamed, self-esteem, and social capital. The survey included sections on demographic information, standardized measures of self-esteem (The Rosenberg Self-Esteem Scale), social capital (The Social Capital in Gaming Scale), help-seeking efficacy (Self-Efficacy to Seek Mental Health Care Scale), and non-standardized measures of help-seeking behavior and help-seeking barriers. The survey of 2,515 participants had a mean age of 21.37 years. The analysis identified that most participants had not sought mental health support for themselves. The most prolific barriers for this cohort to seek help were cost, confidentiality, and trust. Confidence to seek help was rated the lowest for overcoming embarrassment, understanding information, and coping with others' reactions. Help-seeking efficacy was found to be significantly predicted by age, hours spent gaming, self-esteem, and social capital. Low rates of seeking help, coupled with identifying the significant barriers of this group to seek help, may inform researchers aiming to develop targeted interventions for male youth interested in gaming and who are exhibiting mental ill-health to gain initial access, or engage more often, with mental health services when needed. Further research is recommended for investigating male gamers' insights in determining how to overcome the identified barriers for this cohort to improve mental health seeking behavior rather than avoidant behavior. From this, stigma reduction and ease of access to digital mental health services could be improved.

Despite the proven safety and clinical efficacy of the Measles vaccine, many countries are seeing new heights of vaccine hesitancy or refusal, and are experiencing a resurgence of measles infections as a consequence. With the use of novel machine learning tools, we investigated the prevailing negative sentiments related to Measles vaccination through an analysis of public Twitter posts over a 5-year period. We extracted original tweets using the search terms related to "measles" and "vaccine," and posted in English from January 1, 2017, to December 15, 2022. Of these, 155,363 tweets were identified to be negative sentiment tweets from unique individuals, through the use of Bidirectional Encoder Representations from Transformers (BERT) Named Entity Recognition and SieBERT, a pretrained sentiment in English analysis model. This was followed by topic modeling and qualitative thematic analysis performed inductively by the study investigators. A total of 11 topics were generated after applying BERTopic. To facilitate a global discussion of results, the topics were grouped into four different themes through iterative thematic analysis. These include (a) the rejection of "anti-vaxxers" or antivaccine sentiments, (b) misbeliefs and misinformation regarding Measles vaccination, (c) negative transference due to COVID-19 related policies, and (d) public reactions to contemporary Measles outbreaks. Theme 1 highlights that the current public discourse may further alienate those who are vaccine hesitant because of the disparaging language often used, while Themes 2 and 3 highlight the typology of misperceptions and misinformation underlying the negative sentiments related to Measles vaccination and the psychological tendency of disconfirmation bias. Nonetheless, the analysis was based solely on Twitter and only tweets in English were included; hence, the findings may not necessarily generalize to non-Western communities. It is important to further understand the thinking and feeling of those who are vaccine hesitant to address the issues at hand.

Through online social networks (OSNs), individuals establish and maintain social connections to satisfy their need to belong. Recent research suggests that taken too far, one's need to belong can increase envy and lead to maladaptive social media behavior aligned with obsessive-compulsive disorder (OCD). This study examines the role of two personality traits, one's intrinsic need to belong and trait reactance, on feelings of envy and the self-disclosure processes that lead to OCD on social networks. A sample of 354 U.S. adult users of Facebook completed a survey measuring individuals' need to belong, trait reactance, envy, self-disclosure, and OSN-OCD. Regression analyses reveal that need to belong and trait reactance both independently and interactively relate to envy, and that self-disclosure mediates the relationship between envy and OCD on social networks. Those with low trait reactance appear at the lowest risk of OSN-OCD no matter their need to belong. The highest risk profile for online OCD is found in those with both high trait reactance and high need to belong. Overall, our findings support further exploration of one's intrinsic need to belong and trait reactance as personality indicators of risk for OSN-OCD.

While an extensive scientific literature now exists on the use of online dating services, there are very few studies on user satisfaction with dating apps and with the resulting offline dates. This study aimed to assess the level of satisfaction with Tinder use (STU) and the level of satisfaction with Tinder offline dates (STOD) in a sample of adult users of the app. The study also aimed to examine, among 28 variables, those that are the most important in predicting STU and STOD. Overall, 1,387 Tinder users completed an online questionnaire. A machine learning model was used to rank order predictors from most to least important. On a 4-point scale, participants' mean STU score was 2.39, and, on a 5-point scale, mean STOD score was 3.05. The results indicate that satisfaction with dating apps and with resulting offline dates is strongly predicted by participants' age and by their motives for using Tinder (enhancement, emotional coping, socialization, finding "true love," or casual sexual partners), whereas the variables negatively associated with satisfaction were those related to psychopathology. Interestingly, 65.3 percent of app users were married or "in a relationship," and only 50.3 percent of app users were using it to meet someone offline. Generally, participants who engage with the app to cope with personal difficulties seem more likely to report higher levels of dissatisfaction, suggesting that dating apps are a poor coping mechanism and highlighting the need to address underlying problems or pathologies that may be driving their use.