Journal
IEEE MULTIMEDIA
Volume 28, Issue 1, Pages 48-55Publisher
IEEE COMPUTER SOC
DOI: 10.1109/MMUL.2020.3024182
Keywords
Synthetic aperture sonar; Social network services; Mathematical model; Employment; Multimedia communication; Vocational training; Social networking (online); Instagram; social multimedia; smart devices addiction; social network services; self-esteem; mobile device behavior
Categories
Funding
- Ministry of Education, Culture and Sport of the Government of Spain [FPU16/01762]
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The study revealed significant differences in the intensive use of Instagram and smartphone addiction based on employment status and level of education, while age and time spent on the social network were identified as predictors for intensive use of Instagram and smartphone addiction.
This study aims to analyze and determine the factors that have an impact on the intensive use of Instagram and its relationship with smartphone addiction and self-esteem. A total of 389 Instagram users aged between 18 and 57 (M = 23.98; SD = 5.37) completed an online survey based on three standardized scales. The findings of the study suggest that there are statistically significant differences in the intensive use of Instagram and smartphone addiction, according to the individual's employment status and the level of studies completed. Furthermore, the multiple linear regression analysis established age and time spent on the social network as predictors of the intensive use of Instagram and smartphone addiction. Finally, the structural equation model showed a positive correlation between making an intensive use of Instagram and smartphone addiction, and a negative correlation between smartphone addiction and self-esteem.
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