research-article

Deep reinforcement learning based ensemble model for rumor tracking

Authors:

Bolong ZhengAuthors Info & Claims

Volume 103, Issue C

https://doi.org/10.1016/j.is.2021.101772

Published: 01 January 2022 Publication History

Abstract

Fully automated rumor defeating is meaningful for reducing hazards of misinformation in social networks. As one of the automated approaches, content-based rumor defeating is a pipeline that could be divided into four sequential sub-tasks: detection, tracking, sentence classification, and veracity. Specifically, rumor tracking gathers relevant posts and filters unrelated posts for a potential rumor news, which is significant for rumor defeating and has not been studied extensively. However, the existing proposals only consider rumor tracking as an auxiliary task in multi-task learning without special optimization, therefore restraining the accuracy of tracking performance. To this end, we propose a deep reinforcement learning based ensemble model for rumor tracking (RL-ERT), which aggregates multiple components by a weight-tuning policy network, and utilizes specific social features to improve the performance. Finally, we conduct experiments on public datasets and the experimental results show the superiority of RL-ERT on efficiency and effectiveness.

Highlights

•

By exploring plenty of basic models, we proposed an aggregated model named RL-ERT to solve the rumor tracking task.

•

We propose a reinforcement learning based bagging algorithm to aggregate basic models into a macrocosm.

•

We conduct experiments on public benchmark datasets, and the experimental results show the rationality and superiority of RL-ERT.

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Cited By

Song YSuganthan PPedrycz WOu JHe YChen YWu Y(2023)Ensemble reinforcement learningApplied Soft Computing10.1016/j.asoc.2023.110975149:PAOnline publication date: 1-Dec-2023
https://dl.acm.org/doi/10.1016/j.asoc.2023.110975
Yang SLiu XTan TZhang LSu CZhou HXie X(2023)Realization of superhuman intelligence in microstrip filter design based on clustering-reinforcement learningApplied Intelligence10.1007/s10489-023-04638-w53:19(22938-22951)Online publication date: 4-Jul-2023
https://dl.acm.org/doi/10.1007/s10489-023-04638-w
Pattanaik BMandal STripathy R(2023)A survey on rumor detection and prevention in social media using deep learningKnowledge and Information Systems10.1007/s10115-023-01902-w65:10(3839-3880)Online publication date: 29-May-2023
https://dl.acm.org/doi/10.1007/s10115-023-01902-w
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Index Terms

Deep reinforcement learning based ensemble model for rumor tracking
1. Computing methodologies
  1. Artificial intelligence
  2. Machine learning
2. Information systems
  1. Information systems applications
  2. World Wide Web

Index terms have been assigned to the content through auto-classification.

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Published In

cover image Information Systems

Information Systems Volume 103, Issue C

Jan 2022

247 pages

ISSN:0306-4379

Issue’s Table of Contents

Elsevier Ltd.

Publisher

Elsevier Science Ltd.

United Kingdom

Publication History

Published: 01 January 2022

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Cited By

Song YSuganthan PPedrycz WOu JHe YChen YWu Y(2023)Ensemble reinforcement learningApplied Soft Computing10.1016/j.asoc.2023.110975149:PAOnline publication date: 1-Dec-2023
https://dl.acm.org/doi/10.1016/j.asoc.2023.110975
Yang SLiu XTan TZhang LSu CZhou HXie X(2023)Realization of superhuman intelligence in microstrip filter design based on clustering-reinforcement learningApplied Intelligence10.1007/s10489-023-04638-w53:19(22938-22951)Online publication date: 4-Jul-2023
https://dl.acm.org/doi/10.1007/s10489-023-04638-w
Pattanaik BMandal STripathy R(2023)A survey on rumor detection and prevention in social media using deep learningKnowledge and Information Systems10.1007/s10115-023-01902-w65:10(3839-3880)Online publication date: 29-May-2023
https://dl.acm.org/doi/10.1007/s10115-023-01902-w
Wu YSong CLu ZJing CZhan PXu ZWang L(2023)Unsupervised Clustering with Contrastive Learning for Rumor Tracking on Social MediaNatural Language Processing and Chinese Computing10.1007/978-3-031-44696-2_44(562-574)Online publication date: 12-Oct-2023
https://dl.acm.org/doi/10.1007/978-3-031-44696-2_44
Cen JLi Y(2022)A Rumor Detection Method from Social Network Based on Deep Learning in Big Data EnvironmentComputational Intelligence and Neuroscience10.1155/2022/13542332022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/1354233
Zhao QZhang YFeng X(2022)Predicting information diffusion via deep temporal convolutional networksInformation Systems10.1016/j.is.2022.102045108:COnline publication date: 1-Sep-2022
https://dl.acm.org/doi/10.1016/j.is.2022.102045

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