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An Adaptive Deep Transfer Learning Model for Rumor Detection without Sufficient Identified Rumors
Joint Authors
Guo, Meicheng
Xu, Zhiwei
Liu, Limin
Guo, Mengjie
Zhang, Yujun
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-07-17
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
With the extensive usage of social media platforms, spam information, especially rumors, has become a serious problem of social network platforms.
The rumors make it difficult for people to get credible information from Internet and cause social panic.
Existing detection methods always rely on a large amount of training data.
However, the number of the identified rumors is always insufficient for developing a stable detection model.
To handle this problem, we proposed a deep transfer model to achieve accurate rumor detection in social media platforms.
In detail, an adaptive parameter tuning method is proposed to solve the negative transferring problem in the parameter transferring process.
Experiments based on real-world datasets demonstrate that the proposed model achieves more accurate rumor detection and significantly outperforms state-of-the-art rumor detection models.
American Psychological Association (APA)
Guo, Meicheng& Xu, Zhiwei& Liu, Limin& Guo, Mengjie& Zhang, Yujun. 2020. An Adaptive Deep Transfer Learning Model for Rumor Detection without Sufficient Identified Rumors. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1198082
Modern Language Association (MLA)
Guo, Meicheng…[et al.]. An Adaptive Deep Transfer Learning Model for Rumor Detection without Sufficient Identified Rumors. Mathematical Problems in Engineering No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1198082
American Medical Association (AMA)
Guo, Meicheng& Xu, Zhiwei& Liu, Limin& Guo, Mengjie& Zhang, Yujun. An Adaptive Deep Transfer Learning Model for Rumor Detection without Sufficient Identified Rumors. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1198082
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1198082