Early Prediction of Psychological Risk Factors of Addiction to Social Media Among Older Generation Users in Bangladesh

Abstract

The Internet made the whole world a village. We are very much dependent on the Internet. Bangladesh is moving towards becoming a digital country and the use of the Internet is becoming very much important. Most of our older generation is being introduced to the Internet a few years ago. Right now, social media is a sensation among them. They are using social media on daily basis and as we observe they are becoming addicted to social media. Though there are many studies on social media addiction in various groups of age there have been almost no studies conducted on the older generation’s social media addiction. This problem is emerging in this short period of time. This social media sensation is increased in the pandemic of COVID-19 lockdown. In this thesis, we tried to make an early prediction of their addiction to social media. Firstly our intention is to collect some data from older people who use the internet then analyze the data that we have from them. Then after analyzing those data we take the help of some machine learning algorithms to predict their addiction level. Finally, we get the algorithm that gives the best accuracy for our result.