Fake news detection by Machine Learning in Latin America: A Systematic Review
Files
Date
2024-01-03
Contributor
Advisor
Department
Instructor
Depositor
Speaker
Researcher
Consultant
Interviewer
Narrator
Transcriber
Annotator
Journal Title
Journal ISSN
Volume Title
Publisher
Volume
Number/Issue
Starting Page
2526
Ending Page
Alternative Title
Abstract
The growing spread of fake news on social media is a major scourge in society. To combat this problem, many studies have focused on different aspects to automatically detect fake news on social networks using artificial intelligence, especially Machine Learning. In the present work, to understand the current state of existing proposals, we conducted a systematic literature review. We propose to organize this literature in the light of a taxonomy of approaches.
Description
Keywords
Data Analytics, Data Mining, and Machine Learning for Social Media, fake news, disinformation, misinformation, machine learning, detection, latin america, social network, social midia
Citation
Extent
10 pages
Format
Geographic Location
Time Period
Related To
Proceedings of the 57th Hawaii International Conference on System Sciences
Related To (URI)
Table of Contents
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International
Rights Holder
Local Contexts
Email libraryada-l@lists.hawaii.edu if you need this content in ADA-compliant format.