Fake Image Detection on Social Media usingCNN Algorithm

DOI

No DOI

Published In

Volume 3, Issue 6 (2022)

Published Online

November-December 2022

Pages

83-85

Article Type

Research Article

Check for updates

No DOI available for cross-reference

Abstract: In today's time, the common man is being fooled through fake pictures because they do not know whether the pictures are real or not. In this technological age, people have placed social media at a prominent level in their daily lives.Most of the people share their information or any important thing on social media through text message image and video like twitter, snap chat, face book, Whatsapp telegram and many more. It has become easy for the general public or for small groups to create these images and disseminate widely in a very shortperiod of time, threatening the world credibility of news and public confidence through social communication. The sole purpose of this research is to create a model that can be used to classify social media content to detect any threats and fake images. This model was made using Deep Learning which is Convolutional Neural Network (CNN). Networks in the model present more accurate detection of fake images than other techniques with around 97%. The results of this research will be helpful in monitoring and trucking of images in social media to detect unusual material counterfeit images and protect social media from threats and fraudsters.