A Comprehensive Survey on Machine Learning Techniques for Fake News Detection and Analysis

Saurabh Jaiswal; Vivek Rai

A Comprehensive Survey on Machine Learning Techniques for Fake News Detection and Analysis

Authors: Saurabh Jaiswal, Vivek Rai

Unique Paper ID: 166347
Volume: 11
Issue: 2
PageNo: 411-418

Keywords: Fake News media public opinion machine learning (ML) deep learning

Abstract:
The proliferation of fake news poses significant challenges to society, undermining trust in media and impacting public opinion and behavior. As the digital landscape expands, the need for effective detection and analysis of fake news becomes increasingly critical. This comprehensive survey examines the state-of-the-art machine learning techniques employed in the identification and analysis of fake news. We systematically categorize various approaches, including supervised, unsupervised, and semi-supervised learning methods, and evaluate their performance in different contexts. Key features and data sets used in these studies are discussed, alongside an analysis of the strengths and limitations of each technique. Furthermore, we explore the challenges faced in the fake news detection landscape, such as the dynamic nature of fake news, data scarcity, and the need for real-time processing. Future research directions are proposed to address these challenges, emphasizing the integration of multi-modal data, advanced natural language processing techniques, and the potential of deep learning models. This survey aims to provide researchers and practitioners with a detailed understanding of current methodologies and inspire innovative solutions to enhance the effectiveness of fake news detection systems.

Download article

email to a friend

Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 2
PageNo: 411-418

A Comprehensive Survey on Machine Learning Techniques for Fake News Detection and Analysis

Available:https://ijirt.org/Article?manuscript=166347

05 Jul, 2024

A Review on Grinding Technology: Enhancing Precision and Efficiency in Modern Manufacturing

04 Jul, 2024

A Review on Sentiment Analysis Based Top Organizations Rating Using Machine Learning

20 Jun, 2024

Review of An Energy Efficient Task Scheduling Algorithm In Cloud

20 Jun, 2024

A Comprehensive Review of Secure Dynamic Ownership Techniques for Robust Data Deduplication in Cloud Environments

19 Jun, 2024

Innovative Approaches in Air Quality Analysis with Deep Air Learning

19 Jun, 2024

Impact Analysis of Accident Using Image Processing

19 Jun, 2024

Skin Disease Detection System Technologies Using Image Processing

26 May, 2022

Monitoring Social Distancing and Detecting COVID Patients at Public Places Using a Beacon-Based Application

07 Oct, 2021

High Efficiency MIMO OFDM Telecommunication Using Precoding Scheme

30 Sep, 2021

CONTRAST ENHANCEMENT WITH SALIENCY PRESERVATION

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now

Latest Publication

Recent Conferences

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024

Submit inquiry