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Experimental Result Paper | Computer Science and Information Technology | India | Volume 12 Issue 2, February 2023 | Popularity: 5.1 / 10

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A Study of Different Methodologies to Detect Fake Account on Social Media using Machine Learning

Dr. Suchita Amey Bhovar

Abstract: The Internet is one of the most significant inventions, and many people utilize it. These people employ it for various functions. These users have access to a variety of social networking channels. Through these internet platforms, every user can submit something or share a story. The individuals or their posts are not verified on these platforms. Internet users are increasingly using social media websites. Websites like Twitter, Facebook, and Instagram spend a lot more time online with users. People make new contacts and share ideas, opinions, and information on social media. Social networking platforms offer their users a wealth of informative content. The vast amount of social media data makes it easy for hackers to misuse information. These cybercriminals create false profiles for real people and disseminate meaningless information. The content on spam could contain advertisements and malicious URLs that obstruct regular users. Social Networking sites have a serious problem with this spam content. The process of identifying spam on social media networking sites is crucial. This paper surveys the different methodologies suggested for fake account detection. (keywords:- social media, machine learning, methodologies, information).

Keywords: social media, machine learning, methodologies, information

Edition: Volume 12 Issue 2, February 2023

Pages: 53 - 57

DOI: https://www.doi.org/10.21275/SR23109103538

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