Cyber-Psychopathy Trait as Predictor of Cybersex Addiction among University Students [Scholarly Article - Pakistan Journal of Humanities & Social Sciences, 2022]

Title: 

Cyber-Psychopathy Trait as Predictor of Cybersex Addiction among University Students  

 

Authors: 

Ahmad Bilal, The Islamia University of Bahawalpur, Pakistan

Arif Nadeem, Government College University, Faisalabad, Pakistan 

& 

Muhammad Saleem, The Islamia University of Bahawalpur, Pakistan

 

Published: 

Pakistan Journal of Humanities & Social Sciences, Volume 10, Number 1, 18 January 2022 

https://journals.internationalrasd.org/index.php/pjhss/article/view/478  

 

Abstract: 

The previous studies have established a link between dark triad personality traits and cybersex addiction. However, there is a scarcity of studies on the link between psychopathy and cybersex addiction. Therefore, the present study was conducted to find an association and to predict cybersex addiction from psychopathy. 160 undergraduate students from the Baghdad campus of Islamia University of Bahawalpur were recruited randomly to participate in the study. All the participating students signed the informed consent form before taking part in the study. The locally standardized versions of The Internet Addiction Test – Sex (IAT-Sex) and Cyber-Psychopathy Scale (CPS) were used to collect the data. The data was analyzed through the Statistical Package for Social Sciences (SPSS, v 25) and expressed in the form of correlation, regression analysis, and t-test. The study found a significant positive correlation between psychopathy and cybersex addiction. Psychopathy significantly predicted cybersex addiction. Moreover, the male students showed more psychopathy and cybersex addiction than female students. The students of 21-22 years were found to show more psychopathy and cybersex addiction as compared to students of other age groups. The study proposed that future studies be conducted with a broader sample from other universities and by including other demographic variables to make the results generalizable to a larger population. 

 

University of Bath, United Kingdom - How picking up your smartphone could reveal your identity

Title:

How picking up your smartphone could reveal your identity

 

Published:

University of Bath, 17 February 2022

https://www.bath.ac.uk/announcements/how-picking-up-your-smartphone-could-reveal-your-identity/

 

From the article:

The time a person spends on different smartphone apps is enough to identify them from a larger group in more than one in three cases say researchers, who warn of the implications for security and privacy.

 

ALSO SEE

 

Title:

Behavioral Consistency in the Digital Age

 

Authors:

Heather Shaw, Paul J. Taylor, David A. Ellis [et al]

 

Published:

Psychological Science, 17 February 2022

https://journals.sagepub.com/doi/10.1177/09567976211040491

 

Abstract:

Efforts to infer personality from digital footprints have focused on behavioral stability at the trait level without considering situational dependency. We repeated a classic study of intraindividual consistency with secondary data (five data sets) containing 28,692 days of smartphone usage from 780 people. Using per-app measures of pickup frequency and usage duration, we found that profiles of daily smartphone usage were significantly more consistent when taken from the same user than from different users (d > 1.46). Random-forest models trained on 6 days of behavior identified each of the 780 users in test data with 35.8% accuracy for pickup frequency and 38.5% accuracy for duration frequency. This increased to 73.5% and 75.3%, respectively, when success was taken as the user appearing in the top 10 predictions (i.e., top 1%). Thus, situation-dependent stability in behavior is present in our digital lives, and its uniqueness provides both opportunities and risks to privacy.

Individual Differences in Autism Traits, Personality, and Emotional Responsiveness to Music in the General Population [Scholarly Article - Musicae Scientiae, 2021]

Title:

Individual Differences in Autism Traits, Personality, and Emotional Responsiveness to Music in the General Population

 

Authors:

Shalini Sivathasan, Gwenaëlle Philibert-Lignières & Eve-Marie Quintin

 

Published:

Musicae Scientiae, 30 January 2021

https://journals.sagepub.com/doi/full/10.1177/1029864920988160

 

Abstract:

Little is known about the relationship between the personality and the emotional experiences of people with broader autism phenotype (BAP) or autistic traits. Given that music is a powerful vehicle for conveying emotions and that several studies show that people with and without autism spectrum disorder (ASD) typically respond to music in similar ways, the present study examines the relationship between personality, autistic traits, and emotional experiences evoked by music. A total of 110 participants (n = 74 females) aged 18 to 35 years (M = 21.25, SD = 3.36) completed the NEO-Five Factor Inventory-3-S, Social Responsiveness Scale-2, Autism-Spectrum Quotient, and Goldsmiths Musical Sophistication Index self-report questionnaires. Path analyses revealed that the relationship between autistic traits and emotional responsiveness to music was fully mediated by extraversion, and to a lesser extent openness to experience. These results suggest that people in the general population who have fewer autistic traits and who tend to be extraverted and open to experience report greater emotional responsiveness to music than those who are less extraverted and less open to experience. These findings suggest that it is important to consider personality characteristics when considering the relationship between autistic traits and emotional experiences.