جستجوی مقالات مرتبط با کلیدواژه « social media » در نشریات گروه « روانشناسی »

The proliferation of social media, especially Instagram, has affected all aspects of life, and it is natural for the elderly to be sensitive to the use of these media. In recent years, various researches have been done in this regard, some of which show the improvement or weakening of the social welfare of the elderly if they use these media. It seems that other side factors should be considered in this regard. In this research, using a survey method, these factors are extracted by examining the existing background in this field and a conceptual model is designed. In this model, factors such as gender, age, field of study, rate of use, etc. can affect the social well-being of the elderly. In the research, theories of highlighting, framing, warner and representation have been used. The statistical population of this study is all elderly people in the age group of 65 to 80 years and sampling is by snowball. Regression statistical test was used to analyze the data. Research shows that Instagram has a strong and direct impact on social welfare. The elderly are 65 to 80 years old.

The aim of the present study was to investigate the relationship between corona anxiety and social media addiction, depression and death anxiety in students of Shahid Chamran University of Ahvaz. the current research was of applied type and in terms of method it was a descriptive-correlational study. the statistical population of this research consisted of all male and female undergraduate students of shahid chamran university of ahvaz who were studying in 2021-2022, and among them, 240 people were selected through cluster sampling. they responded to the questionnaires about Corona anxiety by Ailpour et al. (2018), social media addiction by Khaje Ahmadi et al. (2015), depression of students by Kawaja and Bryden (2006) and Templer's death anxiety (1970). Data was analyzed by Pearson correlation test and multiple regression using SPSS version 26 software. the findings showed that social media addiction (r = 0.541), depression (r = 0.473) and death anxiety (r = 0.310) have a significant relationship with corona anxiety. also, the results of multiple regression showed that the variables of social media addiction and depression have the ability to predict Corona anxiety by 37% and 24%, respectively, but death anxiety was not able to predict Corona anxiety. the results of the findings showed that social media addiction and depression have the ability to predict the Corona anxiety, so it seems that in the conditions of the Corona epidemic, it is possible to reduce the anxiety of Corona by reducing the social media addiction and intervening to improve depression.

The present research was conducted with the aim of analyzing the role of advertisements, social media and social capital on students' lifestyles and attitudes.

The type of research is applied in terms of purpose and descriptive-correlation in terms of the nature of the method of doing the work. The statistical population of the research was male and female high school students of Ardabil city. Data analysis was done by structural equation modeling method using SPSS and Lisrel software.

Based on the findings of this research, advertisements, social media and social capital have a positive and meaningful effect on lifestyle and attitude. Therefore, school administrators are advised to consider advertising, social media, and social capital as important in schools, and have detailed plans for using social media to create positive changes in the lifestyle and attitude of students in accordance with Adopt religious and cultural teachings for academic progress.

to improve lifestyle and attitude, it is recommended to use social media, advertising and social capital for the target community.

This research aimed to analyze adolescents` motivational factors for using virtual social media. This research was conducted using the qualitative approach of phenomenology type. For this purpose, 17 female adolescents aged 14 to 16 who were dysfunctional in the use of social media were selected using a purposeful sampling method based on criteria. The research was conducted through semi-structured interviews. Finally, the data were coded and categorized and the results were expressed using the method of narrative reporting. The analysis of experiences led to the identification of 7 main themes, including the symbiotic relationship with peers, omnipresence, emotion regulation, idealization versus normalization, social comparison, function, and response to existential-humanistic issues. each of them included 5, 7, 8, 4, 5, 15, and 3 sub-themes respectively. The results show that adolescents' problematic use of social networks is not motivated by newness or fashion, but purposefully and motivated by the fulfillment of basic needs (autonomy, competence, and communication). Therefore, in addition to recognizing the needs and motivations of adolescents, the authorities must use the technological opportunities of social networks to respond to their neglected needs in the real world. Also, counselors can take preventive measures or design targeted technological content for them by considering the motivations of adolescents.

This study aimed at analyzing the effect of exercise on psychological well-being and social health of first grade high school students in Tehran with the mediating role of attachment to school and the use of social media. This applied research had a correlational design. The statistical population of the study comprised all first grade male junior high school students in Tehran. The sample was drawn through random cluster sampling method and the sample size was equal to 384 students. The research instruments included Social Media Use Questionnaire (Kim et al., 2017), Psychological Well-Being Scale (Diener et al., 2009), School Belonging Scale (Hurtado & Carter, 1997), Social Health Scale (Keyes & Shapiro, 2004), and Habitual Physical Activity Questionnaire (Baecke et al., 1982). Pearson correlation and structural equation modeling were used to analyze the data. Results indicated that moderator variable of the use of social media mediates the effect of exercise on psychological well-being and social health with effect coefficients of 0.17 and 0.17. In addition, moderator variable of attachment to school mediates the effect of exercise on psychological well-being and social health with effect coefficients of 0.22 and 0.23, respectively. Therefore, if schools use social media to engage students in school and out-of-school sports, this can enhance students’ engagement in school activities.

The purpose of this study was to investigate the role of Iranian women influencers concerning betrayals, coolness and the aims of commercial brands on social medias. The statistical population of the study included all Iranian female influencers in the social medias. The sample subsumed all Iranian female influencers who were active in Instagram. The research was designed as descriptive- analytical. To collect data library method was implemented. After reviewing the data, the results indicated that the female influencers on social medias had positive impact on their web-pages audiences specially the young women. They were recognized as favorite and professional individuals. The betrayals and coolness of the female influencers had also effects on the trans-social relationships, attitude and confidence to the brands. The betrayals of the female influencers caused negative attitude towards the brands. Therefore, they consider the necessity of being present in different social medias, knowing the culture and literatures of every social media user to produce contents with respect to that and to establish friendly relation with the audiences. The cool female influencers with their attractive appearances were also able to have more effects on the consumers’ perceptions and caused positive attitude in their followers toward the brands. The female influencers tried to improve their knowledge so they could be able to imply the related reliable techniques to advertise their brands. And ultimately to build a mentality in their followers so to be knowns as noble, alive, attractive, extraordinary, with high position and desirable.

The present research was conducted aiming to determine the mediating role of positive feelings toward spouse on the relationship between self-control and internet addiction among women active on social media. This study was a correlational one. The study population consisted of all married women active on the social networking site Instagram who were members of available pages from July to August of 2019.For this purpose, using purposive sampling method, 299 married women members of these pages were selected and were asked to complete the Internet addiction test, Positive Feelings and Self-Control Questionnaires.The Data were analyzed using SPSS software version 22 and Pearson correlation coefficient and multiple regression. The results showed that each of the self-control dimensions including primary self-control(P < 0.05 and β = -0.454) and the inhibitory self-control(P < 0.05 and β = -0.317) can be predict the internet addiction in women. also The coefficients of standard and non-standard multivariate regression coefficients showed that positive feelings toward spouse(P <0.05 and β = -0.399) can predict internet addiction in women too. In addition, results showed that self-control through positive feelings toward spouse is indirectly related to internet addictio .nTherefore, it can be concluded that the reinforcement of positive feelings toward spouse can increase the level of self-control and thus indirectly reduce the rate of internet addiction in women.

The aim of this study was to develop a valid and reliable tool for measuring the level of peoplechr('39')s participation in social network sites (SNS).

This research is in the R&D field in terms of purpose and is descriptive-survey type in terms of data collection method (research design). 979 students were selected out of all students studying in the University of Guilan in 2017-2018 using multi-stage random cluster sampling. A set of questions, after confirming their face validity, was given to the participants and all collected data was analyzed through heuristic method (based on data from 400 precipitants) and then by confirmatory method (using data from 579 participants) to determine the construct validity of the developing test.

A scale containing 34 items was developed and the items were distributed among the three factors of "emotion / cognition exchange" (20 items), "engagement intensity" (7 items) and "culture exchange" (7 items). Taken together, these three factors accounted for 46.73% of the total variance of the questionnaire. Based on the results of the reliability analysis (internal consistency), the coefficients obtained for the factors were between 0.81 and 0.90, among which emotion / cognition exchange had the highest coefficient of internal consistency index, followed by cultural exchange and engagement intensity, respectively.; The overall internal consistency of the questionnaire was 0.92.

The Social Network Sites Engagement Scale (SNSES) has acceptable validity and reliability for measuring the level of participation in social network sites.

Social networks are tools by the use of which people virtually communicate with each other. Perceived social support and the fear of body image variables that are in relation to individuals' communications and impressionability are rooted in the extent to which people use social networks. The purpose of the present study was to compare the relationship between using social networks with body image fear and perceived social support. The present research was a descriptive correlational study. The statistical universe consisted of people living in the south of Ghiamdasht city, 89 of whom (33women and 56 men) were selected by convenient sampling method in 2019 and They responded to the Littleton (2005) body image fear questionnaire, Zimet et al. (1988) Perceived Social Support Questionnaire, and Rasool Abadi (2016) social media use questionnaire. The results were analyzed by Pearson correlation. The result of this study indicated a significant and positive relationship between using social networks and body image fear (r=0.43, p<0.01) which is more significant in women than men. Also, the perceived social support variable was significantly and negatively correlated with using social networks (r=-0.35, p<0.01) which was higher in men than in women. Therefore, it can be concluded that with an increase in using social networks, perceived social support decreases, and fear of body image increases.

Cyberspace depicts world that have emerged from fiction; however, for many people, cyberspace has become a part of their daily lives, affecting their psychological wellbeing and family functioning. The aim of this study was to predict family performance based on psychological well-being and readiness for social media addiction among student users.

The research method was descriptive-correlational type and the statistical population of this study included all students of Islamic Azad University, Karaj Branch in the academic year 2016-2017, from which 200 people were selected by multi-stage cluster sampling. Research tools include the Affective Family Climate Scale; Ryff Psychological Well-Being Scale-Short Form and Social Media Addiction Questionnaire. Pearson correlation and simultaneous regression analysis were used to analyze the data.

The results of the present study showed that the dimensions of family functioning have been associated with psychological well-being. Dimensions of family functioning have been associated with readiness social media addiction.

It is suggested that by educating families and parents for families with children and adolescents, in addition to prevention, the level of family performance and consequently the well-being of children, adolescents and young adults can be increased.

Recently, research has been conducted on the use of social networks as a new platform for identifying people with mental disorders. In addition, because of the complexity of diagnosing psychological diseases using conventional methods, the use of machine learning for identifying theses psychological diseases is increasing. The goal of this article was to systematically review the research conducted using social media data for predicting and diagnosing psychological disorders with the help of machine learning. Based on systematic review on the Prisma method, the aim of this article was achieved through searching the main keywords of diagnosis and the prediction of mental disorders combined with machine learning and social media data without considering the dates of their publications. Depression had the highest frequency among the final 20 selected articles with a predictive power of 42% and 87%, the lowest and the highest respectively. On the other hand, only 30% of studies used questionnaires for gathering data on social media and the most common approach for data collection was public posts on social media by the use of regular expressions. Twitter has also been used as the largest source of data collection in these sorts of studies. It seems that computational psychology based on machine learning methods could help to identify disorders at an appropriate time and select more effective treatments for mental disorders among the users of social media.