Predicting the Dependency of Mobile Social Networks Through the Goals of Using the Networks (research among Students of the 9th Regional Universities)
Since the use of mobile social networks is prevalent among the students, the present study is aimed to predict the degree of dependence on social networks through the goals of using these networks among students of the 9th regional universities. The research method is descriptive-correlational. The...
| Main Authors: | , , |
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| Format: | Article |
| Language: | fas |
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Allameh Tabataba'i University Press
2020-03-01
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| Series: | مطالعات رسانههای نوین |
| Subjects: | |
| Online Access: | https://nms.atu.ac.ir/article_11872_f6fd3dee489a7a566680cdf8f58bac44.pdf |
| _version_ | 1797392759188881408 |
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| author | azra Mirkazemi Samaneh Rastgoo Fereshteh Ahmad Abadi |
| author_facet | azra Mirkazemi Samaneh Rastgoo Fereshteh Ahmad Abadi |
| author_sort | azra Mirkazemi |
| collection | DOAJ |
| description | Since the use of mobile social networks is prevalent among the students, the present study is aimed to predict the degree of dependence on social networks through the goals of using these networks among students of the 9th regional universities. The research method is descriptive-correlational. The research instrument was a researcher-made questionnaire with questions about research variables and its validity and reliability were confirmed. The statistical population consisted of all universities in 9 countries (11 universities), among which 6 universities were distributed and collected in a Stratified random manner through a researcher-made questionnaire. Data were analyzed by SPSS software. Descriptive and inferential statistics were used for data analysis (one sample t-test, Pearson correlation, simple linear regression and multiple regression). The results showed that social network dependency was higher than average and positive correlation was found between leisure time goals, communication with relatives, diversity in service use, and record sharing in the likes. There is a score of 0.37 and these goals predict 14.3% of students' affiliation to mobile social networks. therefore, suggested that by using extremist social networks, responsible agencies design and run programs to raise awareness of the diverse services of these networks to fill students' leisure time usefully. |
| first_indexed | 2024-03-08T23:53:10Z |
| format | Article |
| id | doaj.art-cf25663704604a909b65128bbf70c225 |
| institution | Directory Open Access Journal |
| issn | 2538-2209 2476-6550 |
| language | fas |
| last_indexed | 2024-03-08T23:53:10Z |
| publishDate | 2020-03-01 |
| publisher | Allameh Tabataba'i University Press |
| record_format | Article |
| series | مطالعات رسانههای نوین |
| spelling | doaj.art-cf25663704604a909b65128bbf70c2252023-12-13T10:28:09ZfasAllameh Tabataba'i University Pressمطالعات رسانههای نوین2538-22092476-65502020-03-01621578410.22054/nms.2020.45930.81511872Predicting the Dependency of Mobile Social Networks Through the Goals of Using the Networks (research among Students of the 9th Regional Universities)azra Mirkazemi0Samaneh Rastgoo1Fereshteh Ahmad Abadi2Faculty/ birjand Univercitybirjand UniversityBirjan UniversitySince the use of mobile social networks is prevalent among the students, the present study is aimed to predict the degree of dependence on social networks through the goals of using these networks among students of the 9th regional universities. The research method is descriptive-correlational. The research instrument was a researcher-made questionnaire with questions about research variables and its validity and reliability were confirmed. The statistical population consisted of all universities in 9 countries (11 universities), among which 6 universities were distributed and collected in a Stratified random manner through a researcher-made questionnaire. Data were analyzed by SPSS software. Descriptive and inferential statistics were used for data analysis (one sample t-test, Pearson correlation, simple linear regression and multiple regression). The results showed that social network dependency was higher than average and positive correlation was found between leisure time goals, communication with relatives, diversity in service use, and record sharing in the likes. There is a score of 0.37 and these goals predict 14.3% of students' affiliation to mobile social networks. therefore, suggested that by using extremist social networks, responsible agencies design and run programs to raise awareness of the diverse services of these networks to fill students' leisure time usefully.https://nms.atu.ac.ir/article_11872_f6fd3dee489a7a566680cdf8f58bac44.pdfconsumption of social network goalsmobilestudentsdistrict 9dependency |
| spellingShingle | azra Mirkazemi Samaneh Rastgoo Fereshteh Ahmad Abadi Predicting the Dependency of Mobile Social Networks Through the Goals of Using the Networks (research among Students of the 9th Regional Universities) مطالعات رسانههای نوین consumption of social network goals mobile students district 9 dependency |
| title | Predicting the Dependency of Mobile Social Networks Through the Goals of Using the Networks (research among Students of the 9th Regional Universities) |
| title_full | Predicting the Dependency of Mobile Social Networks Through the Goals of Using the Networks (research among Students of the 9th Regional Universities) |
| title_fullStr | Predicting the Dependency of Mobile Social Networks Through the Goals of Using the Networks (research among Students of the 9th Regional Universities) |
| title_full_unstemmed | Predicting the Dependency of Mobile Social Networks Through the Goals of Using the Networks (research among Students of the 9th Regional Universities) |
| title_short | Predicting the Dependency of Mobile Social Networks Through the Goals of Using the Networks (research among Students of the 9th Regional Universities) |
| title_sort | predicting the dependency of mobile social networks through the goals of using the networks research among students of the 9th regional universities |
| topic | consumption of social network goals mobile students district 9 dependency |
| url | https://nms.atu.ac.ir/article_11872_f6fd3dee489a7a566680cdf8f58bac44.pdf |
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