WEB FORUM AND SOCIAL MEDIA: A MODEL FOR AUTOMATIC REMOVAL OF FAKE MEDIA USING MULTILAYERED NEURAL NETWORKS

Prof Nwankwo Wilson and UKHUREBOR, K.E.,   (Published 2020)

Prof Wilson
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Abstract

In the last decade, communication through traditional broadcast media has been severely influenced by the growing sophistication in information communication technologies. It is little wonder how mobile smart devices are rapidly emasculating the socioeconomic landscape of traditional broadcasting. In the work place, home, and leisure the trend is same. Social media has stolen the game and is quickly leading to another age, the “machine relationship” age where the usual intimate social relationships are replaced by mobile devices and social networks. Worrisome is the growing spate of fake media. Effects of such fake information propelled by miscreants and social media apologists are far-reaching as it has resulted to crisis in homes, families, relationships, organizations, and the society at large. This paper aims to contribute to the fight against fake media through the use of technology. In this paper we have proposed and developed a model that integrates multilayer neural networks to detecting and eliminating fake pictures and images uploaded to social media networks and web forums.


Item Type: Journal article(non-copyrighted)
Format: PDF document,   691.9 KB
Copyright: Creative Commons LicenseCreative Commons license
Keywords: Social media, Social networks, Neural networks, Web forum, Media authentication
Department: Physical Science
Field of Study: Computer Science
Uploaded By: Acheme David Ijegwa
Date Added: 15 Jan 2022 12:57pm
Last Modified: 15 Jan 2022
Journal URL: https://www.edouniversity.edu.ng/oer/journal/web_forum_and_social_media_a_model_for_automatic_removal_of_fake_media_using_multilayered_neural_networks


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