Fake News Detection for Hindi Language

Abstract

The understanding of the term “Fake news†varies from one individual to the other. If we look into the basic meaning of “Fake news†, it refers to inappropriate and made up news. In most cases, the news is made up of baseless sources and facts. These news generally mislead the reader and are generally published for one’s own benefit or to defame others. In recent years, a large population is active on various social media platforms and hence they have become the major medium through which fake news is circulated. A lot of fake news is been circulated in local languages as well. Also most of the existing work is based on the English language and only very little work is done using resource scare language for fake news identification like Indic Languages. So this paper focuses to define false news and suggest an effective method for detecting fake news in Hindi using standard machine learning algorithms like Multi-layer Perceptron and Naive Bayes and deep learning techniques like transforms - mainly mBERT. © 2021 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).