Evaluating the Effectiveness of Hybrid Features in Fake News Detection on Social Media-Reference-Cited by-同舟云学术

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Evaluating the Effectiveness of Hybrid Features in Fake News Detection on Social Media

Published:2023-10-26 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Information and Communication Technology for Development for Africa (ICT4DA)
language:
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Author:

Yigezu Mesay Gemeda¹,Mehamed Moges Ahmed²,Kolesnikova Olga¹,Guge Tadesse Kebede³,Gelbukh Alexander¹,Sidorov Grigori¹

Affiliation:

1. Centro de Investigación en Computación, Instituto Politécnico Nacional,NLP lab.,Dept. Computer Science,Mexico

2. School of Computer Science and AI, Wuhan University of Technology,China

3. Haramaya University,Dept. Computer Science,Ethiopia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10302181/10302182/10302243.pdf?arnumber=10302243

Reference25 articles.

1. Lexicon-Stance Based Amharic Fake News Detection;ibrahim;Addis Ababa University,2022

2. Building a Dataset for Detecting fake news in Amharic language building a dataset for detecting fake news in Amharic Lan-guage;tt;International Journal of Advanced Research in Science and Technology,2021

3. Social Media Fake Account Detection for Amharic Language by using Machine Learning;kedir;Global Scientific Journals,2020

4. Stance-Based Fake News Detection for Amharic news Using Dense Neural Network;tefera;Journal of University,2019

5. Amharic Fake News Detection on Social Media Using Feature Fusion. In Advances of Science and Technology: 9th EAI International Conference;worku;ICAST 2021 Hybrid Event,2022

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