A topic-focused trust model for Twitter

被引：45

作者：

Zhao, Liang ^{[1
]}

Hua, Ting ^{[1
]}

Lu, Chang-Tien ^{[1
]}

Chen, Ing-Ray ^{[1
]}

机构：

[1] Virginia Tech, Dept Comp Sci, Blacksburg, VA 24061 USA

来源：

COMPUTER COMMUNICATIONS | 2016年 / 76卷

关键词：

Trust management; Social networks; Twitter; Trustworthiness; Credibility; PROPAGATION;

D O I：

10.1016/j.comcom.2015.08.001

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Twitter is a crucial platform to get access to breaking news and timely information. However, due to questionable provenance, uncontrollable broadcasting, and unstructured languages in tweets, Twitter is hardly a trustworthy source of breaking news. In this paper, we propose a novel topic-focused trust model to assess trustworthiness of users and tweets in Twitter. Unlike traditional graph-based trust ranking approaches in the literature, our method is scalable and can consider heterogeneous contextual properties to rate topic focused tweets and users. We demonstrate the effectiveness of our topic-focused trustworthiness estimation method with extensive experiments using real Twitter data in Latin America. (C) 2015 Elsevier B.V. All rights reserved.

引用

页码：1 / 11

页数：11

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