A rumor detection model combining propagation structure and content features

Xiaoyu Xu; Junfang Song; Shuyu Wang; Haili Zhao; Yuanyuan Pu; Wenzhe Wu

doi:10.1117/12.3005822

10 October 2023 A rumor detection model combining propagation structure and content features

Xiaoyu Xu, Junfang Song, Shuyu Wang, Haili Zhao, Yuanyuan Pu, Wenzhe Wu

Proceedings Volume 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023); 127994Y (2023) https://doi.org/10.1117/12.3005822
Event: 3rd International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 2023, Kuala Lumpur, Malaysia

Abstract

Rumor detection has been the focus of public opinion analysis and a topical area of in natural language processing research. Rumor detection which uses the deep learning method mainly extracts features such as rumor text, users information and communication structure, and determines rumors by inputting a suitable rumor detection model and using trained classifiers. In this work, a rumor detection model called BGLA is proposed, it merges the propagation structure and content features, the extracted feature vectors and adjacency matrix are passed through the BiGCN model to obtain the causal characteristics of rumor propagation along the relational chain from top to bottom, and the structural features obtained by bottom-up aggregation, the characteristics of the propagation and dispersion of rumors are simulated respectively. Then the BiLSTM model with an attention mechanism is added to obtain the temporal characteristics of the text, while allowing the model to focus more on the part of the input sequence that is relevant to the current prediction, and finally the event labels are calculated after the fully connected and softmax layers. Experiments on Twitter15 and Twitter16 show that the accuracy of the proposed method is improved by 1.2% and 1.9%, respectively, compared to the best baseline method.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xiaoyu Xu, Junfang Song, Shuyu Wang, Haili Zhao, Yuanyuan Pu, and Wenzhe Wu "A rumor detection model combining propagation structure and content features", Proc. SPIE 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 127994Y (10 October 2023); https://doi.org/10.1117/12.3005822

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
8 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Machine learning

Deep learning

Feature extraction

Semantics

Neural networks

Classification systems

Internet

Keywords/Phrases

Search In:

Publication Years