Development of Classification Model based on Arabic Textual Analysis to Detect Fake News: Case Studies-Reference-Cited by-同舟云学术

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Development of Classification Model based on Arabic Textual Analysis to Detect Fake News: Case Studies

Published:2023-01-23 Issue: Volume: Page:
ISSN:
Container-title:2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC)
language:
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Author:

Himdi Hanen Tarik¹,Assiri Fatmah Yousef²

Affiliation:

1. University of Jeddah,College of Computer Science and Engineering,Computer Science and Artificial Intelligence Department,Jeddah,Saudi Arabia

2. University of Jeddah,College of Computer Science and Engineering,Software Engineering Department,Jeddah,Saudi Arabia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10084917/10084937/10085350.pdf?arnumber=10085350

Reference37 articles.

1. Deception detection in arabic tweets and news;penuela;FIRE (Working Notes),2019

2. Detecting Misleading Information on COVID-19

3. Analyzing Textual (Mis)Information Shared in WhatsApp Groups

4. Semantic And Sentiment Analysis For Arabic Texts Using Intelligent Model

5. SOUKHRIA: Towards an Irony Detection System for Arabic in Social Media

Cited by 1 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. Improving Arabic Fake News Detection Using Optimized Feature Selection;2023 International Conference on Information Technology (ICIT);2023-08-09

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