Work

A Machine Learning-Based Approach for Fake News Detection Using NLP and Web Technologies

Year: 2025

Type: article

Abstract: The rapid expansion of digital communication hasprovided immense opportunities for the spread of informationbut has also posed a significant threat in the form of fake news.Fake news refers to false or misleading information presented asnews, which can have serious implications on public opinion,political stability, and societal trust. This research addressesthis challenge by developing a Fake News Detection Systemthat uses Natural Language Processing (NLP) and machinelearning. The system is deployed through a web-based platform,combining a React.js frontend with a Flask backend, andutilizes Logistic Regression for classification. With TF-IDF asa feature extraction method, our model achieves an accuracyof 92.5

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15597857

Author: Sonar, Mayur

Language: English

Topic: Misinformation and Its Impacts

Subfield: Sociology and Political Science

Field: Social Sciences

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W6949503133

FWCI:

Cites:

Cited by:

Related to: