A Review Paper on Analysis of Fake Ranking on Social Media

Authors(4) :-Rahul Natiye, Swapnil Kamble, Nishant Ramteke, Prof. Pranjali Ulhe

Information credibility on social media has been a theme of enthusiasm among explores in fields of the two PCs and social sciences, essentially in view of the ongoing development of this stage as a device for information dispersal. Social media has made it progressively conceivable to offer close continuous move of information in a very financially savvy way. It is currently being used as a wellspring of news among various clients around the world. Therefore, the improvement of strategies that can confirm information acquired from Social media has turned into a testing and essential undertaking.

Authors and Affiliations

Rahul Natiye
BE, Department of Information Technology, J D College of Engineering and Management, Nagpur, Maharashtra, India
Swapnil Kamble
BE, Department of Information Technology, J D College of Engineering and Management, Nagpur, Maharashtra, India
Nishant Ramteke
BE, Department of Information Technology, J D College of Engineering and Management, Nagpur, Maharashtra, India
Prof. Pranjali Ulhe
Assistant Professor, Department of Information Technology, J D College of Engineering and Management, Nagpur, Maharashtra, India

Credibility, Reputation, Classification, User-Experience, Feature-Ranking, Twitter

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Publication Details

Published in : Volume 5 | Issue 2 | March-April 2019
Date of Publication : 2019-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 516-520
Manuscript Number : CSEIT1952168
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Rahul Natiye, Swapnil Kamble, Nishant Ramteke, Prof. Pranjali Ulhe, "A Review Paper on Analysis of Fake Ranking on Social Media ", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 2, pp.516-520, March-April-2019. |          | BibTeX | RIS | CSV

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