A review of fake news detection approaches: A critical analysis of relevant studies and highlighting key challenges associated with the dataset, feature representation, and data fusion-Reference-Cited by-同舟云学术

A review of fake news detection approaches: A critical analysis of relevant studies and highlighting key challenges associated with the dataset, feature representation, and data fusion

Published:2023-10 Issue:10 Volume:9 Page:e20382
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Hamed Suhaib Kh^ORCID,Ab Aziz Mohd Juzaiddin,Yaakub Mohd Ridzwan^ORCID

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference132 articles.

1. Lies kill, facts save: detecting COVID-19 misinformation in twitter;Al-Rakhami;IEEE Access,2020

2. A Smart Contract Logic to Reduce Hoax Propagation across Social Media;Tchakounté,2020

3. False information detection in online content and its role in decision making;Habib;a systematic literature review,2019

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Classifying deceptive reviews for the cultural heritage domain: A lexicon-based approach for the Italian language;Expert Systems with Applications;2024-10

2. OLTW-TEC: online learning with sliding windows for text classifier ensembles;Frontiers in Artificial Intelligence;2024-09-11

3. Fake video detection among secondary school students: The impact of sociocultural, media literacy and media use factors;Telematics and Informatics Reports;2024-09

4. BERTGuard: Two-Tiered Multi-Domain Fake News Detection with Class Imbalance Mitigation;Big Data and Cognitive Computing;2024-08-16

5. Deep Learning and Fusion Mechanism-based Multimodal Fake News Detection Methodologies: A Review;Engineering, Technology & Applied Science Research;2024-08-02