IMCCRT 2023 4165 Title- A Review Paper on Fake News Detection Methods on Social Media
Title- A Review Paper on Fake News Detection Methods on Social Media
Author's Name- Shailja Kumari
Abstract-The internet is an important invention. Many people use it for different purposes. Social media platforms are available to anyone, without verification or confirmation. This enables some users to spread false information via these websites, hurting a specific person, group of people, institution, or political party. Some social media sites, including Facebook, Instagram, and Twitter, were impacted by false information spread by their users. Unfortunately, some individuals propagate bogus news in the form of words, photographs, and videos to increase their links and reputation. Both humans and machines are incapable of identifying all of this bogus news. Therefore, machine learning classifiers are required to automatically identify this bogus news. For this reason, it is necessary to recognize this information as fraudulent using machine learning methods. This article offered a thorough literature review on the application of machine learning classifiers for identifying false news. This makes identifying this information false using machine learning techniques.The central point of the study is to review various machine learning and deep learning algorithms used to detect fake news on social media. Most of the articles proposed machine learning techniques for detection of the fake news. Machine learning algorithm has been widely used in the detection of fake news and the performance of these algorithm has been evaluated using parameter-Accuracy, precision, and recall. In this work, we looked at several papers and compared all the