A New Early Rumor Detection Model Based on BiGRU Neural Network
With the progress of society and the rapid development of computer technology, rumors arise on social media, which seriously affects the social economy. How to detect rumors accurately and rapidly has become one hot research topic. In this paper, a new early rumor detection model is proposed. The ai...
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Format: | Article |
Language: | English |
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Wiley
2021-01-01
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Series: | Discrete Dynamics in Nature and Society |
Online Access: | http://dx.doi.org/10.1155/2021/2296605 |
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author | Xiangning Chen Caiyun Wang Dong Li Xuemei Sun |
author_facet | Xiangning Chen Caiyun Wang Dong Li Xuemei Sun |
author_sort | Xiangning Chen |
collection | DOAJ |
description | With the progress of society and the rapid development of computer technology, rumors arise on social media, which seriously affects the social economy. How to detect rumors accurately and rapidly has become one hot research topic. In this paper, a new early rumor detection model is proposed. The aim of this model is to increase the efficiency and the accuracy of rumor detection simultaneously. Specifically, in this model, the input data is firstly refined through account filtering and data standardization, then the BiGRU is used to consider the context relationship, and a reinforcement learning algorithm is applied to detection. Experimental results show that compared with other early rumor detection models (e.g., checkpoints), the accuracy of the proposed model is improved by 0.5% with the same speed, which testifies the effectiveness of this model. |
format | Article |
id | doaj-art-38e64e76cfda46d09fed8deec1a52fb6 |
institution | Kabale University |
issn | 1026-0226 1607-887X |
language | English |
publishDate | 2021-01-01 |
publisher | Wiley |
record_format | Article |
series | Discrete Dynamics in Nature and Society |
spelling | doaj-art-38e64e76cfda46d09fed8deec1a52fb62025-02-03T01:25:10ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2021-01-01202110.1155/2021/22966052296605A New Early Rumor Detection Model Based on BiGRU Neural NetworkXiangning Chen0Caiyun Wang1Dong Li2Xuemei Sun3School of Computer Science and Technology, Tiangong University, Tianjin 300387, ChinaSchool of Computer Science and Technology, Tiangong University, Tianjin 300387, ChinaSchool of Computer Science and Technology, Tiangong University, Tianjin 300387, ChinaSchool of Computer Science and Technology, Tiangong University, Tianjin 300387, ChinaWith the progress of society and the rapid development of computer technology, rumors arise on social media, which seriously affects the social economy. How to detect rumors accurately and rapidly has become one hot research topic. In this paper, a new early rumor detection model is proposed. The aim of this model is to increase the efficiency and the accuracy of rumor detection simultaneously. Specifically, in this model, the input data is firstly refined through account filtering and data standardization, then the BiGRU is used to consider the context relationship, and a reinforcement learning algorithm is applied to detection. Experimental results show that compared with other early rumor detection models (e.g., checkpoints), the accuracy of the proposed model is improved by 0.5% with the same speed, which testifies the effectiveness of this model.http://dx.doi.org/10.1155/2021/2296605 |
spellingShingle | Xiangning Chen Caiyun Wang Dong Li Xuemei Sun A New Early Rumor Detection Model Based on BiGRU Neural Network Discrete Dynamics in Nature and Society |
title | A New Early Rumor Detection Model Based on BiGRU Neural Network |
title_full | A New Early Rumor Detection Model Based on BiGRU Neural Network |
title_fullStr | A New Early Rumor Detection Model Based on BiGRU Neural Network |
title_full_unstemmed | A New Early Rumor Detection Model Based on BiGRU Neural Network |
title_short | A New Early Rumor Detection Model Based on BiGRU Neural Network |
title_sort | new early rumor detection model based on bigru neural network |
url | http://dx.doi.org/10.1155/2021/2296605 |
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