Social Psychology Research

Abstract Introduction: The dangers of using social networks have led to various research in this field in recent decades. The aim of this study was to investigate the mediating role of jealousy and the moderating role of spouse support perception in the relationship between upward social comparison and depression in virtual social networks.
Method: The research method was correlation-structural equation model. The study population consisted of married people in Kerman and a sample of 320 men and women in this city who were selected using the convenience sampling method and through a link sent to them answered to a researcher-made questionnaire of upward social comparison in social networks, Radloff (1991) Depression questionnaire, Tandoc, Ferrucci, and Duffy (2015) Jealousy in social media Questionnaire, and the Revised Support in Intimate Relationships Scale of Dehle, Larsen and Landers (2001). Then the data were analyzed using Pearson correlation coefficient and structural equations.
Findings: The findings of the study showed that jealousy can play a mediating role in the relationship between upward social comparison in virtual social networks and depression. Also, the perception of spouse support was able to moderate the relationship between jealousy in virtual social networks and depression.
Conclusion: According to the findings, it can be said that upward comparison with others, in addition to the effect on jealousy in virtual social networks, can also increase depression in married people. Meanwhile, the perception of spouse support can be effective in reducing the consequences of jealousy in these networks.     
  

Abstract Introduction: Media as a provider creates empirical frameworks for audiences, general cultural attitudes for people to interpret information, and ultimately can affect their identity. The present study was designed and conducted to investigate the relationship between the amount and type of use of virtual social networks with the social identity of women in Tehran. Method: The present research is applied and its method is descriptive-correlation which has been done with survey technique and questionnaire measurement tool. The statistical population includes all women living in Tehran in 1399, and the statistical sample according to Morgan table is 300 people.To measure the research variables, a questionnaire related to the amount and type of use of virtual social networks that the researcher has made and the standard questionnaire of social identity Saffarinia and Roshan (2011) have been used. Finding: Findings from the test of research hypotheses by calculating the correlation coefficient of Spearman rankings and significance test showed that there is a significant negative relationship between the use of virtual social networks during the day and night with the collective dimension of women's identity (Sig <0.05). There is a negative relationship between the use of virtual social networks during the day and night with the individual dimension of women's social identity in Tehran, but it is not significant (Sig> 0.05). Findings also showed that there is a significant relationship between the type of use of virtual social networks and the social identity of women in Tehran. Conclusion: According to the research findings, the necessary training for women in the field of optimal use of these networks in order to reduce the harms in the field of social identity seems necessary.

Abstract Introduction: The purpose of this study was to investigate the role of virtual social networks in predicting academic procrastination, loneliness and mental health in students. Method: The statistical population consisted of all high school students of Qom that 334 people were selected by simple random sampling method. To gathering data, researcher made questionnaire of virtual social networks using, Sevari educational procrastination questionnaire, loneliness questionnaire (UCLA) and general health questionnaire were used. Regression analysis and Pearson correlation coefficient was performed for data analysis. Results: The results showed that the use of virtual social networks can predict academic procrastination, loneliness and mental health in students. Also academic procrastination, loneliness and mental health have a significant positive relationship with using time of virtual social network. Conclusion: Virtual social networks could be make some lives and psychological problems because of engaging its users.