Detecting fake news by RNN-based gatekeeping behavior model on social networks-Reference-Cited by-同舟云学术

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Detecting fake news by RNN-based gatekeeping behavior model on social networks

Published:2023-11 Issue: Volume:231 Page:120716
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Xie Bailin^ORCID,Li Qi

Funder

Guangzhou Municipal Science and Technology Program key projects

Basic and Applied Basic Research Foundation of Guangdong Province

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference58 articles.

1. An experimental system for measuring the credibility of news content in Twitter;Al-Khalifa;International Journal of Web Information Systems,2011

2. Social media and fake news in the 2016 election;Allcott;Journal of Economic Perspectives,2017

3. Rumor detection on social media with bi-directional graph convolutional networks;Bian;Proceedings of the AAAI Conference on Artificial Intelligence,2020

4. A novel unsupervised ensemble framework using concept-based linguistic methods and machine learning for twitter sentiment analysis;Bibi;Pattern Recognition Letters,2022

5. The theater of fake news spreading, who plays which role? A study on real graphs of spreading on Twitter;Bodaghi;Expert Systems with Applications,2022

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2. An adaptive cyclical learning rate based hybrid model for Dravidian fake news detection;Expert Systems with Applications;2024-05

3. Rumors detection on X using pre-trained language models;2024 8th International Conference on Image and Signal Processing and their Applications (ISPA);2024-04-21

4. Automatic Fake News Detection on Social Networks using Multimodal Approach of BERT and ResNet110;2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT);2023-10-20

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