In this paper, we introduce a framework for modeling the trustworthiness of peers in the
setting of online social networks. In these contexts, it may be important to be filtering the …

PHelpS was a system that helped Correctional Service Canada (CSC) workers to find
appropriate helpers among their peers when they were encountering problems while …

In this paper, we present an approach for predicting trust links between peers in social
media, one that is grounded in the artificial intelligence area of multiagent trust modeling. In …

In this paper, we discuss the prevalence of misleading information in health-oriented online
social networks and discussion boards. With increasing numbers of patients and caregivers …

In order to validate a particular approach to trust modeling, researchers have typically
designed simulations in which various multliagent conditions are modeled and tested …

This paper presents a framework for multiagent systems trust modeling that reasons about
both user credibility and user similarity. Through simulation, we are able to show that our …

In this article, we introduce a framework for selecting web objects (texts, videos, simulations)
from a large online repository to present to patients and caregivers, in order to assist in their …

Recommending learning materials for e-learning systems often encounters two issues: how
to classify and organize learning materials and how to make effective recommendations. In …

This paper presents a validation of CredTrust, a multiagent trust model aimed at addressing
the problem of folklore in online social networks: strong similarity among mis-guided peers …

In this thesis, we address the challenge of information overload in online participatory
messaging environments using an artificial intelligence approach drawn from research in …