Paper Key : IRJ************898
Author: Md Khalid Alam ,Mohd Azkar
Date Published: 03 Apr 2025
Abstract
The increase in the flow of false information in the digital age poses a serious threat tothe integrity of data. The purpose of this study is to explore whether machine literacy algorithms can be used to detect fakenews to improve decision-making and strengthen information integrity. The exploration identifies the most advancedalgorithm by wholly assessing colorful machine- literacy models to classify papers as real or fake news. Thestudy consists of a detailed literature survey, a dataset selection, a data preparation, a vectorization technique, choice of a model followed by model training and optimization as well the evaluation process. By using values such as accuracy and delicacy, the analysis also transcends algorithmic efficience to strengthen and sustain trust in media and popularprocesses by icing the authenticity of the content provided. Stakeholders like news associations, social media platforms, and government are reaping benefits of the visit, which has a broader approach that not only helps to enhance information credibility but also generates a great defense line against thedreaded problem ofmisinformation.
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