Titlebook: Databases Theory and Applications; 28th Australasian Da Zi Huang,Xiaokui Xiao,Xin Cao Conference proceedings 2017 Springer International Pu

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Provenance-Based Rumor Detectionrent neural network to combine the provenance information and the text of the post itself to improve the accuracy of rumor detection. Experimental results on a real-world dataset show that our technique is able to outperform state-of-the-art approaches in rumor detection.

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Conference proceedings 2017identify new issues and directions for future research and development work. The topics of the presented papers are related to all practical and theoretical aspects of advanced database theory and applications, as well as case studies and implementation experiences..

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