The advent of social media platforms has revolutionized the process of information creation, dissemination and consumption. Although highly debated, pornography consumption on social media is a reality. Building on an acquisition, activation, and application model, this study investigates student’s (n = 379) gratification in romantic relationships as an outcome of their pornography consumption on social media, through the mediating effect of sexual confidence and sexual compulsivity. PROCESS macro was used to analyze the data. Results indicate that the effect of pornography consumption on a viewer’s gratification in a romantic relationship is partially mediated by sexual confidence (β = .0461, p < .001) and sexual compulsivity (β = .420, p < .001). These findings hold important contributions to current literature. Findings also indicate that pornography consumption positively and significantly aids a viewer’s sexual gratification in romantic relationships.

Anger is defined as a psychobiological emotional state that consists of feelings varying in intensity from mild irritation or annoyance to intense fury and rage. Dysfunction in anger regulation is marker of most psychiatric disorders. The most important point about anger regulation by the individuals is how to express anger and control it. The purpose of the present study is to predict the anger expression from the anger experience in individuals with psychiatric disorder for assessment of how to express and control the anger. To this end, the number of 3,000 subjects of individuals with clinical disorders had filled in the State-Trait Anger Expression Inventory–II (STAXI–II). After removing the uncertain diagnoses (900 subjects), the number of 2,100 data was considered in the analysis. Then, the computational codes based on three soft computing algorithms, including Radial Basis Function (RBF), Adaptive Neuro-Fuzzy Inference System (ANFIS) and Decision Tree (DT) were developed to predict the scales of anger expression of the individuals with psychiatric disorders. The scales of anger experience were used as input data of the developed computational codes. Comparison between the results obtained from the DT, RBF and ANFIS algorithms show that all the developed soft computing algorithms forecast the anger expression scales with an acceptable accuracy. However, the accuracy of the DT algorithm is better than the other algorithms.

Worry is a common phenomenon with people who anticipate and want to be prepared for future events. Pathological worry, however, is not limited to anticipating potentially dangerous events, but it is applied to small daily events, too. This kind of worry is perceived as uncontrollable, and it is strongly associated with catastrophism. The Penn State Worry Questionnaire (PSWQ) was developed to assess pathological worry. Despite its excellent psychometric characteristics, its internal structure is still controversial. The combination of regular and reversed items and certain methodological considerations may account for the discrepancies in the results of previous investigations. With the aim to analyze worry in Portugal and the psychometric properties of the PSWQ, for the present study, methodological options were considered in order to minimize previous problems. A sample of 558 Portuguese community participants took part in this study. Exploratory and Confirmatory Factor Analysis were performed with two independent random subsamples. The results showed the unidimensionality of PSWQ and the psychometric adequacy of both the full, 16-item version and a reduced, 11-item version (without reversed scored items). Normative data are presented, the suitability of both versions is discussed, and the authors conclude by encouraging the use of the reduced, 11-item version of the PSWQ in applied settings.