Abstract
International Journal of Advance Research in Multidisciplinary, 2023;1(1):55-59
An approach for detecting false news using machine-learning techniques
Author : Vijay P, Vishal Surya AM, Revathy S
Abstract
The world is indeed changing rapidly, with the increasing use of digital technologies having both advantages and disadvantages. One major issue in this digital world is the spread of false news, which can easily be disseminated through various online platforms. To address this problem, machine learning has emerged as a powerful tool for detecting false news. Machine learning refers to the utilization of algorithms to learn patterns automatically, without requiring explicit programming. There exist different types of learning algorithms.
Out of these Algorithms Passive Aggressive Classifier and Decision Tree have obtained higher accuracy of 100%, which is verified by confusion Matrix.
Keywords
Machine learning, supervised learning, logistic regression, support vector classifier, passive aggressive classifier, random forest, decision tree, k nearest neighbour. out of these algorithms passive aggressive classifier, decision tree, accuracy, confusion matrix, vectorizer
