Identification of Fake profiles using Artificial Neural Networks
Author(s):
Kompally Rekha, Malgi Aadarsh Reddy, Maggidi Srikar, D. Sandhya Rani
Keywords:
Abstract
In day today life Social media became a part of everyone’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 Id’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.
Article Details
Unique Paper ID: 159164

Publication Volume & Issue: Volume 9, Issue 11

Page(s): 605 - 610
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