Paper Contents
Abstract
ABSTRACTwith the advancement of technology, social media has become an integral part of most people's daily lives. Most people routinely post text, photos, and videos to social media platforms (e.g. Twitter, Snapchat, Facebook, and Instagram). Sharing images is one of the most popular activities on social media. So, it's important to keep an eye on the photos people post online. It is now relatively simple for individuals or small groups to create such images and spread them widely in a short amount of time, posing a threat to the veracity of the news and public trust in the means of social communication. The purpose of this study was to provide a method for automatically extracting and categorising picture information, checking the authenticity of digital photographs, and detecting modification. Instagram is a website and smartphone app that allows users to share and view photographs. This enables users to snap images, modify them with digital filters, and share them with the world. Instagram postings include a wide variety of undesirable material, including threats and faked photographs, which may have serious consequences for public safety and order.
Copyright
Copyright © 2023 S.Md.Riyaz Naik. This is an open access article distributed under the Creative Commons Attribution License.
