This paper is published in Volume-5, Issue-2, 2019
Area
Social
Author
Sajid Shaikh, Chaitali Jagdale, Mrunali Ghate, Sharad Babar
Org/Univ
MIT Polytechnic, Pune, Maharashtra, India
Pub. Date
23 March, 2019
Paper ID
V5I2-1395
Publisher
Keywords
Facebook, Spam Detection, Caption, Spam, Secure Post

Citationsacebook

IEEE
Sajid Shaikh, Chaitali Jagdale, Mrunali Ghate, Sharad Babar. Facebook spam detection, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Sajid Shaikh, Chaitali Jagdale, Mrunali Ghate, Sharad Babar (2019). Facebook spam detection. International Journal of Advance Research, Ideas and Innovations in Technology, 5(2) www.IJARIIT.com.

MLA
Sajid Shaikh, Chaitali Jagdale, Mrunali Ghate, Sharad Babar. "Facebook spam detection." International Journal of Advance Research, Ideas and Innovations in Technology 5.2 (2019). www.IJARIIT.com.

Abstract

SPAM is any unwanted message or material in any form posted by so many fake peoples. Social networking sites play an important role because near about all peoples are spending more time on social sites just like Facebook, Instagram, We-chat, WhatsApp. The main thing is that all spammers know they can easily spread spam or fakes news through social sites. This project also provides the reason how user become victim to spam attack. A technique is proposed in the end discusses how to handle different types of spam or fake news.