Abstract
There are many different debates regarding the time spent on Instagram by social media addiction and life satisfaction. In consequence, in this research, it is aimed to reveal the variables that predict the time spent on Instagram by university students. The research is done in accordance with the causal and correlation model by using a quantitative research method. The results of the research are predicted by the time spent on Instagram, gender, age and social media addiction. Time spent on Instagram differentiates in accordance with the level of social media addiction (Sig = 0.00, p < 0.05) but does not differentiate by life satisfaction (Sig = 0.06, p > 0.05). As social media addiction increases, life satisfaction decreases (r = −0.19). Women spent 0.42 times more time, and the women at the age of 21–22 years spent 0.38 times more time on Instagram.
 Keywords: Instagram, life satisfaction, social media, addiction.
Highlights
Social media is an Internet platform, where the persons sharing similar interests communicate with each other
The primary purpose of this research is to determine whether there is a correlation between social media addiction and life satisfaction
The second purpose is to reveal whether the university students’ social media addiction or level of life satisfaction differs by the time that they spend on Instagram
Summary
Social media is an Internet (online) platform, where the persons sharing similar interests communicate with each other. Through social media, may reach their friends, develop new friendships and convey their messages by sharing posts to large masses. Social media emerged as a modern fact in our life as a result of the increase in Internet usage (Boyd & Ellison, 2007). With the proliferation of the Internet and the advancement of mobile devices, the number of social media users increases gradually. Social media addiction is still not regarded as a medical diagnosis, it has become a field of an intensive study. The symptoms of social media addiction are examined with the symptoms of all kinds of dependencies
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