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