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@article{180783,
        author = {T. Amulya Reddy and M. Sandhya and P. Sai Kiran Reddy and R. Sandeep Naik and Mr. S.T. Saravanan},
        title = {Spammer Detection and Fake User Identification},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {2437-2440},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=180783},
        abstract = {Social Networking sites engage millions of 
users around the world. The user’s interactions with 
these social sites, such as twitter and Facebook have a 
tremendous impact and occasionally Undesirable 
repercussions for daily life. The prominent social 
networking sites have turned into a target platform for 
the spammers to disperse a huge amount of irrelevant 
and deleterious information. Twitter, for example, has 
become one of the most extravagantly used platforms 
of all times therefore allows an unreasonable amount 
of spam fake users send undesired tweets to users to 
promote services or websites but not only effect 
legitimate users but also disrupt resource assumption. 
Moreover, the possibility of expanding invalid 
information to users through fake identities has 
increased the results in the unrolling of harmful 
content. Recently, the detection of spammers and 
identification of fake users and twitter and face book 
has become a common area of research in 
contemporary online social networks (OSNs).},
        keywords = {},
        month = {June},
        }