Social Networking Sites Habits and Addiction Among Adolescents in Klang Valley
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2018, Vol 9, Issue 11
Abstract
Social networking sites (SNS) is a very popular application in today’s world society. SNS, to certain extent has change the way people communicate with each other. This kind of technology has become a trend among the users regardless the impact of the technology to the users either positive or negative. The level of SNS usage among the adolescents has started to raise concern among the parents and also the society. SNS addictions are becoming problematic in certain countries especially in United States and lately this issue has started to spread all over the world. Malaysia is also one of the country affected with SNS addiction. SNS addiction is not an isolated phenomenon as it is started from high engagement on the SNS usage and it originates from habitual behavior. Therefore, it is important to seek and understand habit and addiction of SNS among adolescents in Malaysia. The purpose of this study is to analyze and explore the usage of SNS among the adolescents in Malaysia, specifically in Klang Valley. It examines the SNS usage behavioral, which is habit and addiction. The data was collected from a sample of 60 respondents using an online survey. The data were analyzed using SPSS for descriptive analysis. From the analysis, it was found that most of the adolescents used SNS in daily basis and majority of them use it for more than two hours per day. Patterns on habits and addiction on the SNS usage shows that some adolescents experienced certain habit and addiction behavior.
Authors and Affiliations
Yazriwati Yahya, Nor Zairah Ab. Rahim, Roslina Ibrahim, Nurazean Maarop, Haslina Md Sarkan, Suriayati Chuprat
An Immunity-based Error Containment Algorithm for Database Intrusion Response Systems
The immune system has received a special attention as a potential source of inspiration for innovative approaches to solve database security issues and build artificial immune systems. Database security issues need to be...
Regression-Based Feature Selection on Large Scale Human Activity Recognition
In this paper, we present an approach for regression-based feature selection in human activity recognition. Due to high dimensional features in human activity recognition, the model may have over-fitting and can’t learn...
Web Service for Incremental and Automatic Data Warehouses Fragmentation
The data warehouses (DW) are proposed to collect and store heterogeneous and bulky data. They represent a collection of thematic, integrated, non-volatile and histories data. They are fed from different data sources thro...
Text Summarization of Multi-Aspect Comments in Social Networks in Persian Language
Now-a-days, there are increasingly huge amount of user generated comments on the web. The user generated comments usually contains useful and essential information reflecting public’s or customers’ opinions. Since the in...
Study of Chaos in the Traffic of Computer Networks
Development of telecommunications technology currently determines the growth of research with an aim to find new solutions and innovative approaches to the mathematical description of the processes. One of the directions...