Detection of Inauthentic Accounts on Twitter
DOI:
https://doi.org/10.5281/zenodo.8026926Keywords:
Inauthentic accounts, social media, machine learning, sentiment analysis, spam detectionAbstract
The proposed system is to identify and detect ‘bots’, ‘spam’ or ‘fake accounts’, referred to as inauthentic accounts that mimic how people use Twitter. While some spam accounts are automated, others are run by real people, making their detection challenging. Among other things, bots can follow and be followed by other users, tweet at people, and share tweets. On Twitter, scamming spam bots are routinely observed enticing users to transmit cryptocurrency, or digital currency, to online wallets in exchange for fictitious prizesReferences
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Copyright (c) 2023 Syed Thouheed Ahmed, Adarsha V S, B Vikas, Prommoth V M, Punithan P
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