چكيده فارسي :
پژوهش حاضر با هدف شناسايي راهكارهايي براي ارتقاي امنيت اجتماعي در شبكه‌هاي اجتماعي مجازي انجام پذيرفت. زيرا امنيت اجتماعي يكي از نيازهاي اوليه هر جامعه بشري است و ايجاد آن باعث استمرار ارزش ها و نظام فرهنگي و اجتماعي جامعه و تداوم آن باعث كاهش انحرافات و تهديدهاي فرهنگي و اجتماعي است. اين مطالعه با هدف تحليل عوامل مؤثر بر امنيت در قالب يك سيستم، با روش آميخته به ارزيابي عوامل تأثيرگذار، تأثير‌پذير، كليدي و استراتژيك بر سيستم و پايداري يا ناپايداري آن پرداخته است. پس از مرور متون و شناسايي مؤلفه هاي تأثيرگذار بر امنيت اجتماعي، سؤالاتي در اختيار خبرگان و صاحب نظران قرار گرفت كه پس از بررسي پاسخ ها تعدادي گويه به دست آمد. اين گويه ها براي پيمايش نظرات جامعۀ پژوهش در اختيار آنها قرار گرفت. براي بررسي روابط ميان عوامل، از ماتريسي دو بعدي موسوم به ماتريس اثرات متقابل استفاده شد. براي تحليل داده‌ها از روش تحليل اثرات متقابل و نرم افزار ميك‌مك استفاده شد كه در ادامۀ تحليل، نتايج نشان داد 37 عامل به عنوان عوامل كليدي در چهار دسته عوامل تأثير‌پذير، تنظيمي، مستقل و دو وجهي شناسايي شدند. نتايج پژوهش حاكي از آن است كه پنج بعد فرهنگ، آموزش، تقويت باورهاي ديني، نقش رسانه و بومي سازي قوانين در ارتقاي امنيت در شبكه‌هاي اجتماعي مجازي نقش محوري دارند.
چكيده لاتين :
Background and Aim: The purpose of this research is to identify the effects of self-disclosure in virtual social networks on the enhancement of Societal Security and Intent to identify Consequences of self- disclosure on social networks and Acting to enhance Societal security With discovery Threats and Opportunities and investigate The role of mediating social identity among them.
Methodology: Considering the nature and aim of the study, a quantitatively-qualitatively method is used. This means that in the first step (qualitative study), firstly, based on the available sampling method, Related documents and studies were studied. An interview was compiled by using a snowball sampling method With 10 faculty members, Academic experts and Media management professionals which had the highest level of bio-experience in the field of cyberspace. After categorization self-disclosure, Societal security and social identity indicators, based on research, In the quantitative research stage, after converting the categories identified to the items and formulating the questionnaire tool, based on Morgan table 768 users are chosen and we increase the number of sample to 800 to increase the credibility of data. We used classification sampling method. The main assumptions were tested based on the second-order structural equations and confirmation path analysis applying the Lisrel and Phoenix software.
Discussion and evaluation: The results of path analysis and implementation of the structural model were determined Self- disclosure is more than 70 percent related to social security. The results of hypothesis test show that pictures (photos) sharing, personal characteristics and expression of beliefs explains the self-disclosure 95, 78, and 76 percent respectively. When social security is dependent variable, and culture, identity and police are explanatory variables, the R-square is 54, 44, and 31 percent. Moreover, when social identity is the dependent variable, R-square is 87 considering national identity as independent variable. However, in this case, both religion and ethnic identities have almost the equal effects as much as 60 percent and modern identity does not have any meaningful relation. Considering the social identity variable, was measured the relationship between self- disclosure and Societal security in a direct and indirect way and based on the results, the role of social identity was confirmed in the increase of social security.
