Abstract:
The world is in an extremely precarious situation, with coronavirus posing a serious
threat. To be safe, staying at home is the best option right now. People nowadays spend
the significant amount of their time on social media platforms. Just as social media has
stood by people during this pandemic, it has also caused trouble in some cases. Excessive
use of social media has an adverse effect on mental and physical wellbeing. Besides, the
over usage of social media leads to negative impact on once social life, moreover it can
also lead people to make various dangerous crimes. In this research study, the use of
social media by Bangladeshi people throughout the year 2021 was examined in order to
anticipate their level of addiction to this COVID-19 circumstance. The data was gathered
from people of various occupations, and the levels of addiction has been analyzed with
the help of professionals and several internet sites. Using some methods and machine
learning classifiers, their addiction to social media has been predicted in which the levels
are categorized into four class labels. Several data mining techniques, methods and
machine learning classifiers have been applied and found the maximum accuracy,
94.05% in logistic regression.
