Inconsistent Matters: A Knowledge-Guided Dual-Consistency Network for Multi-Modal Rumor Detection-Reference-Cited by-同舟云学术

Inconsistent Matters: A Knowledge-Guided Dual-Consistency Network for Multi-Modal Rumor Detection

Published:2023-12-01 Issue:12 Volume:35 Page:12736-12749
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Sun Mengzhu¹^ORCID,Zhang Xi¹^ORCID,Ma Jianqiang²^ORCID,Xie Sihong³^ORCID,Liu Yazheng¹^ORCID,Yu Philip S.⁴^ORCID

Affiliation:

1. Beijing University of Posts and Telecommunications, Beijing, China

2. Platform and Content Group, Tencent, Beijing, China

3. Lehigh University, Bethlehem, PA, USA

4. University of Illinois Chicago, Chicago, IL, USA

Funder

National Science Foundation

National Natural Science Foundation of China

Higher Education Discipline Innovation Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

https://ieeexplore.ieee.org/ielam/69/10311056/10123962-aam.pdf

Reference55 articles.

1. Multi-modal Knowledge-aware Event Memory Network for Social Media Rumor Detection

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5. BERT: Pre-training of deep bidirectional transformers for language understanding;devlin;Proc Conf North Amer Chapter Assoc Comput Linguistics Hum Lang Technol,2019

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