Enhancing the Fake News Detection by Applying Effective Feature Selection Based on Semantic Sources-Reference-Cited by-同舟云学术

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Enhancing the Fake News Detection by Applying Effective Feature Selection Based on Semantic Sources

Published:2019-12 Issue: Volume: Page:
ISSN:
Container-title:2019 International Conference on Computational Science and Computational Intelligence (CSCI)
language:
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Author:

Sabeeh Vian,Zohdy Mohammed,Bashaireh Rasha Al

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9052554/9070327/09071056.pdf?arnumber=9071056

Cited by 11 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. Semantic similarity and mutual information-based model for fake news detection;Multimedia Tools and Applications;2024-08-10

2. Fake News Detection: A Brief Investigation Into the State-of-The-Art Approaches and A Mixed Language Dataset;2023 International Conference on Digital Applications, Transformation & Economy (ICDATE);2023-07-14

3. Generating Fake News Detection Model Using A Two-Stage Evolutionary Approach;IEEE Access;2023

4. Detecting fake news and disinformation using artificial intelligence and machine learning to avoid supply chain disruptions;Annals of Operations Research;2022-11-01

5. Uncovering Fake News by Means of Social Network Analysis;International Journal on AdHoc Networking Systems;2022-10-31

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