Research on the Similarity of Microblog Rumors Based on Bayesian Network

DOI

10.2991/csece-18.2018.107How to use a DOI?

Keywords

microblog rumors; similarity; bayesian network

Abstract

The research of text similarity, especially for rumors texts, which constructed the calculation model on the basis of known rumors and calculated its similarity. From which, people can recognize the rumors in advance, and improve their vigilance to effectively block and control rumors dissemination. Based on Bayesian network, the similarity calculation model of microblog rumors texts was built. At the same time, taking into account not only the rumors texts have similar characters, but also the rumors producers have similar characters, and therefore the similarity calculation model of rumors texts makers was constructed. Then, the similarity between the text and the user was integrated, and the microblog similarity calculation model was established. Finally, also experimentally studied the performance of the proposed model on the microblog rumors text and the user data set. The experimental results indicated that the similarity algorithm proposed in this paper can be used to identify the rumors of texts and predict the characters of users more accurately and effectively.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Chengcheng Li
AU  - Fengming Liu
AU  - Pu Li
PY  - 2018/02
DA  - 2018/02
TI  - Research on the Similarity of Microblog Rumors Based on Bayesian Network
BT  - Proceedings of the 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)
PB  - Atlantis Press
SP  - 491
EP  - 494
SN  - 2352-538X
UR  - https://doi.org/10.2991/csece-18.2018.107
DO  - 10.2991/csece-18.2018.107
ID  - Li2018/02
ER  -