Abstract

In today’s world, everything moves towards virtual from the real world especially business, meetings, shopping, and connections to people. As technology makes life easier, everyone is slowly moving towards it. A platform that allows people to connect with other people all over the world is known as social media. Social media has a wide variety of features that make people stay on that platform. The use of social media has many benefits but excessive use of social media can degrade mental health, and physical health and can affect daily-functional life. Also, human mental health is closely connected to self-esteem. In this research, we have identified the impact of social media addiction on self-esteem and the impact of different variables such as notification response, age, gender, etc. on self-esteem and social media addiction. After analyzing the impact, we have suggested methods to reduce social media addiction based on all groups of people and based on similar social media addiction level groups of people using a collaborative filtering algorithm. As a result, we have found that there is a significant difference in self-esteem based on notification response, and a significant difference in social media addiction based on social media daily usage but there is no significant difference in social media addiction and self-esteem based on gender. Recommending methods to reduce social media addiction based on a similar group of people perform a bit better than all groups of people.

Full Text
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