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Classification of Ethical and Unethical Social Media Activities Using Data Analytics

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dc.contributor.author Yesmin, Farzana
dc.contributor.author Hossain, Shoaib
dc.date.accessioned 2023-05-03T04:46:05Z
dc.date.available 2023-05-03T04:46:05Z
dc.date.issued 23-02-18
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/10288
dc.description.abstract In a society and era when they are prevalent, such as Instagram, Twitter, and Facebook, it could be challenging to identify the shortcomings of each program or website. In 2022, almost every person uses social media to get connected and relate to each other through these platforms. As it is a modern age and a technological revolution has happened already, people need to get connected to social media by their own privileges. Merely, everyone must continue their study and official work. Therefore, it has been found that many people become addicted to using social media in all cases and in all circumstances. It is necessary to find out the exact reasons why people become addicted to social media and maintain social media activities during working or studying time. Researchers all over the world found out that a huge quantity of people become addicted to social media, however they are not their workplace or not. By using machine learning technologies and data analytics, it can be found out the reason to use social media in that environment where it is not allowed. As everyone is concerned about their own workplaces, they must have known it is unethical. In this research, these questions are answered with proper explanation with the help of data analytics and machine learning. Soon, it will be great to understand and find out the reasons for natural language processing or human activities. en_US
dc.language.iso en_US en_US
dc.publisher Daffodil International University en_US
dc.subject Technology en_US
dc.subject Classification en_US
dc.subject Social media en_US
dc.subject Machine learning en_US
dc.title Classification of Ethical and Unethical Social Media Activities Using Data Analytics en_US
dc.type Other en_US


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