Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Is Climate Change a Hoax: Fake News Detection for Sustainability News
Date
2024-03-20
Author
Özdemir, Serkan
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
20
views
0
downloads
Cite This
Fake news and misleading information have long been recognized as significant concerns throughout human history, perpetually challenging the integrity of information dissemination. With the pervasive rise of social media platforms, the velocity at which fake news spreads has escalated exponentially, intensifying the challenge of separating fact from fiction. Concurrently, the dimensions of fake news datasets have expanded in tandem with social media enhancements, facilitating the development of more sophisticated detection mechanisms. Of particular concern is the proliferation of deceptive climate-related news disseminated through various media channels, aimed at manipulating public perceptions and influencing behavioral patterns. This deceptive narrative underscores the urgency of implementing robust strategies to combat misinformation, especially in domains as crucial as climate science and sustainability. In this paper, a comprehensive analysis employing Support Vector Machine (SVM), Multi-Layer Perceptron (MLP), Long-Short Term Memory (LSTM), and Bidirectional Long-Short Term Memory (BiLSTM) algorithms is conducted to classify fake news effectively. The efficacy of these methodologies is assessed through a battery of evaluation metrics, including accuracy, F1-score, and Matthews Correlation Coefficient (MCC), providing insights into their respective strengths and limitations. The findings underscore the superior performance of the LSTM algorithm in detecting fake news, particularly within the context of sustainability-related articles. This discernment highlights the critical role of advanced machine learning techniques in fortifying information integrity and combating the pervasive dissemination of misinformation in contemporary discourse.
URI
https://as-proceeding.com/index.php/icada
https://hdl.handle.net/11511/111627
Conference Name
4th International Artificial Intelligence and Data Science Congress
Collections
Graduate School of Informatics, Conference / Seminar
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
S. Özdemir, “Is Climate Change a Hoax: Fake News Detection for Sustainability News,” presented at the 4th International Artificial Intelligence and Data Science Congress, İzmir, Türkiye, 2024, Accessed: 00, 2024. [Online]. Available: https://as-proceeding.com/index.php/icada.