Rumor detection based on a Source-Replies conversation Tree Convolutional Neural Net-Reference-Cited by-同舟云学术

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Rumor detection based on a Source-Replies conversation Tree Convolutional Neural Net

Published:2022-01-13 Issue:5 Volume:104 Page:1155-1171
ISSN:0010-485X
Container-title:Computing
language:en
Short-container-title:Computing

Author:

Bai Na,Meng Fanrong,Rui Xiaobin,Wang Zhixiao

Funder

the Special Funds for Innovation of Graduate Students Double Top University Plain in China University of Mining and Technology

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Numerical Analysis,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00607-021-01034-5.pdf

Reference29 articles.

1. Wong L, Burkell J (2017) Motivations for sharing news on social media. Soc Media Soc 57:1–5

2. Fang B, Jia Y, Han Y et al (2014) A survey of social network and information dissemination analysis. Chin Sci Bull 59(32):4163–4172

3. Bondielli A, Marcelloni F (2019) A survey on fake news and rumour detection techniques. Inf Sci 497:38–55

4. Tolmie P, Procter R, Randall D et al (2017) Supporting the use of user generated content in journalistic practice. In: Proceedings of the 2017 CHI conference on human factors in computing systems, pp 3632–3644

5. Zhao Z, Resnick P, Mei Q (2015) Enquiring minds: early detection of rumors in social media from enquiry posts. In: Proceedings of the 24th international conference on world wide web, pp 1395–1405

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