An Effective Approach for Rumor Detection Based on ERNIE-BiGRU-Attention-Reference-Cited by-同舟云学术

An Effective Approach for Rumor Detection Based on ERNIE-BiGRU-Attention

Published:2022-01-14 Issue: Volume: Page:
ISSN:
Container-title:2022 2nd International Conference on Consumer Electronics and Computer Engineering (ICCECE)
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Author:

Lan Tian¹,Li Xiaoyong¹,Gao Yali¹,Yuan Jie¹

Affiliation:

1. Ministry of Education College of Cyberspace Security, Beijing University of Posts and Telecommunications,Key Laboratory of Trustworthy Distributed Computing and Service (BUPT),Beijing,China

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9712655/9712656/09712700.pdf?arnumber=9712700

Reference14 articles.

1. Fake News Detection Using Deep Learning Techniques

2. Rumor early detection model with multi-feature merged and portability;wangbin;Computer Era,2020

3. exBAKE: Automatic Fake News Detection Model Based on Bidirectional Encoder Representations from Transformers (BERT)

4. BERT: Pre-training of deep bidirectional transformers for language understanding;devlin;ArXiv,2018

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