AI Demo Social Media Platform that Prevents Fake Content

Read full text
Authors: Prof.Jagadamba A
Cited by: 1
References: 10

Abstract

There has been a growing need for efficient and accurate technologies that have the capability of assisting towards the protection of online sites from harmful contents, as well as protection from fake images and videos, audio fraud, and harmful texts. This type of damaging content is spread quickly because the content moderation process involves the analysis of content following the posting of the content. We propose AI-Demo as one of the technologies that can aid towards the protection of our social media platform because it is a social media platform that has the capability to analyze and remove damaging contents automatically. Automatically, they are able to analyze texts, audios, videos, and image contents upon the posting of the contents. It has the capability of detecting image manipulation using advanced artificial intelligence. The video is processed frame by frame to ascertain whether the video has been fraudulently processed. The texts are searched for damaging and offending words and are searched for fake and edited audio recordings as well. It has the capability of using block chain technology to ensure that it is clear and cannot be modified because every procedure involved is traceable and cannot be modified or altered by any one at all. The administrators and moderators are able to access all levels of procedures involved using an accessible dashboard and automatically remove damaging contents to stop the spread of damaging content as well. The testing was done to accurately as certain the ability of AI-Demo to efficiently and accurately handle a massive quantity of contents and achieve a high accuracy rate for all forms of contents as well. Effectively, this will enable a proactive and efficient approach towards the protection of our social media platform as well.

Fields of Study & Subjects

Intravenous Infusion Technology and Safety Hate Speech and Cyberbullying Detection Internet of Things and AI

Publication details

Journal / source
International Journal of Innovative Research in Information Security
Publisher
AM Publications
Volume
12
Issue
01
Pages
06–06
Publication date
20 January 2026
Language
EN