The effect of using mobile-based social networks and its relationship with people's level of religiosity

Number of pages: 158 File Format: word File Code: 30084
Year: 2016 University Degree: Master's degree Category: Social Sciences - Sociology
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    Academic Thesis in Master Degree in Advertising and Cultural Communication

    Abstract

    With the introduction and expansion of mobile social networks, the field of communication of more people in different parts of the world has been created, since accurate information about the use of these networks by users is not known. This research was conducted with the aim of the effect of the use of mobile-based social networks and its relationship with the level of religiosity from the perspective of the employees of the Environmental Protection Organization of the country, and it is trying to answer the question of whether mobile social networks as an ultra-modern media play a role in relation to the level of religiosity of people due to the change of the platform of formation and different applications. The statistical population consists of the employees of the Environmental Protection Organization of the country in 2013. Systematic sampling method with survey method and questionnaire technique has been carried out among 250 people. The theories of Castells' network society, Giddens' construction, Kartz's use and enjoyment have been used in this research. The results of this research show the confirmation of the hypotheses. There is a relationship between the use of mobile social networks on the level of religiosity of employees. In this sense, the views of people and mobile social networks are moderately influential in their level of religiosity. According to the beta value of the indicators of the duration of the users' daily presence in the network, the amount of network usage and the authenticity of the users' profiles are significant. These three indicators can predict the level of influence on religiosity, the coefficient of determination of the model, which is equal to 0.11, means that 0.11 of the changes in the level of religiosity is explained by the indicators of the duration of presence on the network, the amount of network usage and the authenticity of the users' profiles. And the variable of the amount of use of networks with a beta of 42% affects people's religiosity more than other independent variables. The direction of its influence is also negative. Keywords: social networks, mobile social networks, religiosity. Religious identity

    Abstract

    By introducing and expanding cellphone oriented social networks, the basis for a larger scale communication between individuals around the globe has been set, although no accurate information about the users of these networks are available. This research aims to evaluate Department of Environment (DOE) employees' viewpoints about the effects of usage of these cellphone oriented social networks and its relationship to religiosity, and find the answer to the question, whether cellphone oriented social networks as a New Media - regarding their transformation of context and their varying functions - play a role in religiosity of individuals, and if so, how much? The statistical population consists of EPA employees in 1393 SH (2014 AD). Sampling method employed is systematic sampling, with surveying method and questionnaire technique. 250 samples had been surveyed. Also, Manuel Castells' Network Society theory, Antoni Gidens' Construction theory, and Elihu Katz's Uses and Gratification theory, had been utilized in this research.

    The findings support the original hypothesis: there exists a relationship between usage of cellphone oriented social networks and the employees' level of religiosity. In other words, individual views and cellphone oriented social networks are effective in a medium range on their religiosity. According to the Beta value of duration of time spent online index, network usage rate and reality of users' identities are meaningful. These three indexes can estimate the effect on religiosity. Model's determining coefficient equals to 0.11, which means that 0.11 of the changes in religiosity level can be explained simultaneously by duration of time spent online, network usage rate, and reality of users' identities indexes. Furthermore, network usage rate variable, with 42% Beta value, effects religiosity and religious identity more than other independent variables. Also, the direction of its effect is negative.

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    Table of Contents

    1. Introduction..2

    1.1 Statement of the issue and necessity of the research. 10

    1.2 research objectives 11

    1.3 definition of research concepts and variables. 14

    1.3.1 Social networks (independent variable) 14

    1.3.2 The amount of use of social networks. 10

    1.3.3 Mobile phone 14

    1.3.4 Mobile networks 14

    1.3.5 Religion and religiosity (dependent variable) 15

    1.3.6 Religiosity 15

    2. Research literature ..17

    2.1 Theoretical foundations of research. 17

    2.2 Background of the research. 23

    2.3 Conclusion of the theoretical foundations section. 25

    2.4 The theoretical charge of the research. 26

    2.5 Giddens construction theory. 26

    2.5.1 Castells' network society theory. 27

    2.5.2 Theory of use and satisfaction. 28

    3. The method of doing the work.. 31

    3.1 The scope of the research. 31

    3.2 Hypotheses 32

    3.3 Research method. 32

    3.4 validity and reliability of research. 32

    3.5 Statistical population. 33

    3.6 sampling units. 33

    3.7 statistical units. 33

    3.8 sampling method. 33

    3.9 Information collection procedure. . . 30

    4. Analysis and description of research findings..36

    4.1 Introduction. . 36

    4.1.1 Description of findings 36

    4.1.2 Descriptive statistics.  37

    4.1.3 Examining the demographic characteristics of the subjects 37

    4.1.4 Examining the research variables and its dimensions. 34

    4.1.5 The relationship of contextual variables with religiosity and presence in mobile social networks. 38

    4.1.6 Table of frequency description and inference of questionnaire questions.   43

    4.1.7 Checking for normality. 116

    4.1.8 Test of research hypotheses. 117

    4.1.9 The relationship of contextual variables with religiosity and presence in mobile social networks. 123

    4.1.10 Linear regression of hypotheses 124

    4.1.11 Summary and conclusion. 126

    4.1.12 Summary of descriptions 127

    4.1.13 Summary of findings analysis 130

    5. Conclusion and sources..137

    5.1 General conclusion. 137

    5.2 Offers. 140

    5.3 Sources and sources. 141

    5.4 Appendices 148

    5.4.1 Questionnaire. 148

    5.4.2 Cochran's sample size estimation formula. 148

     

     

    4.1 Introduction. 36

    4.1.1 Description of findings. 36

    4.1.2 Descriptive statistics. 37. 4.1.3 Studying the demographic characteristics of the subjects. 37. Table (4-1-1) frequency distribution of respondents according to gender. 37

    Table (4-1-2) frequency distribution of respondents according to educational level. 38

    Table (4-1-3) frequency distribution of respondents according to place of residence. 39

    Table (4-1-4) frequency distribution of respondents according to average age. 40

    Table (4-1-5) frequency distribution of respondents according to work experience. 41

    Table (4-1-6) frequency distribution of respondents according to income status. 42

    4.1.4 Findings description table. 43

    Table (4-1-8) frequency distribution of respondents according to the level of trust in God 43

    Table (4-1-9) frequency distribution of respondents according to the level of interest in Islam. 44

    Table (4-1-10) frequency distribution of respondents according to their pride in being Muslim. 44

    Table (4-1-11) frequency distribution of the respondents according to the level of enjoyment of performing religious duties. 45

    Table (4-1-12) frequency distribution of respondents according to the amount of participation in congregational prayers. 45

    Table (4-1-13) frequency distribution of respondents according to interest in choosing Islamic names. 46

    Table (4-1-14) frequency distribution according to the amount of participation in religious ceremonies. 46

    Table (4-1-15) frequency distribution of respondents according to fasting in Ramadan. 47

    Table (4-1-16) frequency distribution of respondents according to the influence of religious and religious images on satellite and internet. 47

    Table (4-1-17) frequency distribution of respondents according to the amount of participation in Friday prayers. 48

    Table (4-1-18) frequency distribution of respondents according to performing religious acts through mobile social networks. 48

    Table (4-1-19) frequency distribution of respondents according to the level of heart peace after praying to God 49

    Table (4-1-20) frequency distribution of respondents according to membership in mobile social networks. 49

    Table (4-1-21) frequency distribution of respondents according to the amount of daily use of mobile social networks. 50

    Table (4-1-22) frequency distribution of respondents. 50

    Table (4-1-22) frequency distribution of respondents according to the presence guide in mobile social networks. 50

    Table (4-1-23) frequency distribution of respondents according to presence with real characteristics in mobile social networks. 51

    Table (4-1-24) frequency distribution of respondents according to their knowledge of news in social networks. 51

    Table (4-1-25) frequency distribution of respondents according to the relationship of close friends in social networks. 52

    Table (4-1-26) frequency distribution of respondents according to finding new friends in social networks. 52

    Table (4-1-27) frequency distribution of respondents according to entertainment in social networks. 53

    Table (4-1-30) frequency distribution of respondents according to the beliefs of friends in social networks. 54

    Table (4-1-31) frequency distribution of respondents according to the level of trust in information in technology in mobile social networks. 55

    Table (4-1-33) frequency distribution of respondents according to the influence of technology in changing the identity of spiritual values. 56

    Table (4-1-34) frequency distribution of respondents according to the degree of authenticity of the content of social networks. 56

    Table (4-1-35) frequency distribution of respondents according to the cheapness and accessibility of mobile social networks. 57

    Table (4-1-36) frequency distribution according to the influence of social networks on users' religiosity. 57

    Table (4-2-37) the relationship between the amount of religious beliefs and the evaluation of the respondents in the use of mobile social networks. 58

    2.4 Analysis of findings 58

    Chi score test. 58

    Table (4-2-38) the relationship between the level of trust in God and the respondents' assessment of the use of mobile social networks in the level of religiosity. 60

    Chi score test. 60

    Table (4-2-41) the relationship between the level of enjoyment of performing religious duties and the respondents' assessment of the role of mobile social networks in the level of religiosity. 66.

    Table (4-2-43) the relationship between the rate of choosing Islamic names for children and the respondents' assessment of the role of mobile social networks in the rate of religiosity. 70

    Table (4-2-44) the relationship between the amount of participation in religious ceremonies and the use of mobile social networks in. 72

    Chi score test. 72

    Table (4-2-45) the relationship between the amount of fasting and the use of mobile social networks in the level of religiosity. 74

    Kai score test. 74

    Table (4-2-46) the relationship between the effect of satellite and internet images and the evaluation of respondents on the use of mobile social networks in the level of religiosity. 76

    Chi score test. 76

    Table (47-2-4) the relationship between the level of heart relaxation after praying to God and the respondents' assessment of the use of mobile networks in the level of religiosity. 78

    Chi score test. 78

    Table (48-2-4) the relationship between the level of participation in Friday prayers and the respondents' evaluation of the use of mobile networks in the level of religiosity. 80

    Chi score test. 80

    Table (49-2-4) the relationship between the amount of performing religious acts and the respondents' evaluation of the use of mobile networks in the level of religiosity. 82

    Chi score test. 82

    Table (4-2-50) the relationship between membership in mobile social networks and the respondents' assessment of the role of the network. 84

    Chi score test. 84

    Table (4-2-51) the relationship between the user presence guide in the network and the evaluation of the respondents from the users of mobile social networks in the level of religiosity 86

    Chi score test. 86

    Table (4-2-52) the relationship between the real characteristics and the evaluation of the respondents in the use of mobile social networks in the level of religiosity. 88

    Chi score test. 88

    Table (4-2-54) the relationship between communication with friends in the network and the evaluation of respondents in the use of mobile social networks in the level of religiosity 90

    Kai Score test. 90

    Table (4-2-55) the relationship between knowing the news of the day through social networks and the respondents' assessment of religiosity. .92

    Chi score test. 92.

    Table (57-2-4) the relationship between familiarity with the opinions of others through social networks and the level of religiosity. .96

    Chi score test. 96

    Table (58-2-4) the relationship between fun and entertainment in social networks and the level of religiosity. .98

    Chi score test. 98.

    Table (4-2-59) the relationship between the amount of changes in a person's behavior by social networks and the amount of religiosity. 100

    Qi score test.

The effect of using mobile-based social networks and its relationship with people's level of religiosity