Identification of Fake profiles using Artificial Neural Networks

Kompally Rekha; Malgi Aadarsh Reddy; Maggidi Srikar; D. Sandhya Rani

Identification of Fake profiles using Artificial Neural Networks

Authors: Kompally Rekha, Malgi Aadarsh Reddy, Maggidi Srikar, D. Sandhya Rani

Unique Paper ID: 159164
Volume: 9
Issue: 11
PageNo: 605-610

Keywords: No Keywords Found

Abstract:
In day today life Social media became a part of everyoneâ€™s life. Twitter and Facebook become the major platform for using social media. Nowadays social media is used for spreading real time information, and we have to make sure that the information published is real. But some people who tend to spread the fake news of a person or a product uses the fake Idâ€™s called as bots. So it is difficult for a common user to know which news is genuine and which is false news. These fake ID's if used in large scale can create a huge damage to the society. The main objective of our project is to identify these fake ID's. In this project to find the fake twitter account we presented a classification method. The paper determines the minimized set of attributes that influence for finding the fake Twitter account, and then the determined factors are applied using different classification techniques. The most accurate algorithm has been determined by comparing the techniques results. By using minimum set of attributes the amount of data to be analyzed is reduced and we can get faster results.

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ISSN: 2349-6002
Volume: 9
Issue: 11
PageNo: 605-610

Identification of Fake profiles using Artificial Neural Networks

Available:https://ijirt.org/Article?manuscript=159164

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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