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A MACHINE LEARNING APPROACH FOR EARLY DETECTION OF SOCIAL MEDIA RUMORS
Social Media Platforms Have Become An Integral Aspect Of Our Lives In The Modern Day. Social Media Platforms Such As Facebook, Instagram, Twitter, SnapChat, And YouTube Are Used To Connect People And Promote Companies. Twitter Is A Massive...
AN EFFICIENT FRAMEWORK FOR SPAMMER DETECTION AND FAKE USER IDENTIFICATION ON SOCIAL NETWORKS
Open Social Network (OSN)connects Millions Of Users Worldwide In Which Twitter And Facebook, Have A Tremendous Impact On The Daily Life And Sometimes Negative Consequences. Online Social Network Sites Have Become A Popular Platform For Spam...
DETECTING SUSPICIOUS ACCOUNTS RESPONSIBLE FOR POSTING FORGERY MULTIMEDIA CONTENTS USING TRUST MODEL
Internet Activities Have Various Communication Ways And Social Networking Is One Of The Most Popular Way, With Millions Of Users From Around The World. And Now A Days People Spent Lots Of Time On Social Sites Like Twitter, Facebook Or Li...
A SURVEY OF SEMANTIC APPROACH TO DETECT SECURITY ISSUES IN ONLINE SOCIAL NETWORKS
Now Days, Net Or Social Websites Is Normally Used Inside The International And Every Other Use Identity One Of The Maximum Efficient And Powerful Ways To Speak And Sharing The Information The Usage Of The Social Networking Websites Like Twi...
DETECTION OF MALICIOUS USER IN FACEBOOK APP USING PUBLIC POSTS
Nowadays Among Online Social Networks (OSN), Facebook Is The Widespread One And It Is Used By 1.5 Billion People Across The World. Hackers Are Finding Many New Ways To Propagate Spam And Malware On These Platforms, Which We Refer To As Soci...
Detecting Malicious Activity in Facebook Application
The Aim Of This System Is Mainly To Provide Users A Filtering Mechanism To Avoid Their Walls Overwhelmed By Useless Data. Due To The Fact That In FACEBOOKs There Is The Possibility Of Posting Or Commenting Other Posts On Particular Publ...