Analysis of Fake Ranking on Social Media : Twitter

Authors

  • Nikhita Indurkar  Student, Department of Computer Science and Engineering, DBACER, RTMNU, Nagpur, Maharashtra, India
  • Pranali Lotkar  Student, Department of Computer Science and Engineering, DBACER, RTMNU, Nagpur, Maharashtra, India
  • Reshma Maske  Student, Department of Computer Science and Engineering, DBACER, RTMNU, Nagpur, Maharashtra, India
  • Omkar Amin  Student, Department of Computer Science and Engineering, DBACER, RTMNU, Nagpur, Maharashtra, India
  • Rohit Fukte  Student, Department of Computer Science and Engineering, DBACER, RTMNU, Nagpur, Maharashtra, India
  • Prof. Ashwin Shinde  Professor, Department of Computer Science and Engineering, DBACER, RTMNU, Nagpur, Maharashtra, India

Keywords:

Trustworthiness, Status, analysis, User-experience, Feature-ranking, Twitter.

Abstract

The main aim of this project is to study of fake ranking on social media. We use it for find credibility on any social media platform. Now-a-days, we can see that everyone shared information but every information is not real. Some fake information are also spread increasingly on social media. The spreading of this fake information should be stop by using our system. We semi-supervised rank on any social media post and find the score according their credibility. We have done survey on mechanism like analyzing the online data, data abstraction, data classification. Such techniques help to ensuring the integrity of the information. By using our system no fake information spread on social media.

References

  1. Majed Alrubaian, Student Member, Muhammad Al-Qurishi, Student Member, Mohammad Mehedi Hassan, Member and AtifAlamri, Member, IEEE.
  2. Real-time credibility assessment of content on twitter Aditi Gupta, Ponnurangamkumaranguru, Caros Castillo, Patrick Meier International Conference on social Informatics, 228-243, 2014.
  3. Rahul Bora BMSCE, Rahul Kumar, Utkarsh Dev, Satyam Shankar Prasad, ijarcsms.com, Bengaluru, India.

International Journal of Scientific Research in Science, Engineering and Technology

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Published

2019-03-16

Issue

Volume 5, Issue 6, March-2019

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Nikhita Indurkar, Pranali Lotkar, Reshma Maske, Omkar Amin, Rohit Fukte, Prof. Ashwin Shinde, " Analysis of Fake Ranking on Social Media : Twitter, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 5, Issue 6, pp.170-172, March-2019.