CoTrRank

Trust evaluation of users and tweets

Peiyao Li, Weiliang Zhao, Jian Yang*, Jia Wu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Abstract

Trust evaluation of people and information on Twitter is critical for maintaining a healthy online social environment. How to evaluate the trustworthiness of users and tweets becomes a challenging question. In this demo, we show how our proposed CoTrRank approach deal with this problem. This approach models users and tweets in two coupled networks and calculate their trust values in different trust spaces. In particular, our solution provides a configurable way when mapping the calculated raw evidences to the trust values. The CoTrRank demo system has an interactive interface to show how our proposed approach produces more effective and adaptive trust evaluation results comparing with baseline methods.

Original languageEnglish
Title of host publicationProceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019
EditorsSarit Kraus
Place of PublicationCalifornia
PublisherInternational Joint Conferences on Artificial Intelligence
Pages6542-6544
Number of pages3
Volume2019-August
ISBN (Electronic)9780999241141
DOIs
Publication statusPublished - Aug 2019
Event28th International Joint Conference on Artificial Intelligence, IJCAI 2019 - Macao, China
Duration: 10 Aug 201916 Aug 2019

Conference

Conference28th International Joint Conference on Artificial Intelligence, IJCAI 2019
CountryChina
CityMacao
Period10/08/1916/08/19

Cite this

Li, P., Zhao, W., Yang, J., & Wu, J. (2019). CoTrRank: Trust evaluation of users and tweets. In S. Kraus (Ed.), Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019 (Vol. 2019-August, pp. 6542-6544). California: International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2019/950