Ranking, recommendation, and retrieval systems are widely used in online platforms and
other societal systems, including e-commerce, media-streaming, admissions, gig platforms …

Online Social Networks (OSNs) are becoming a popular method of meeting people and
kee** in touch with friends. OSNs resort to trust evaluation models and algorithms to …

Given a bipartite graph of users and the products that they review, or followers and
followees, how can we detect fake reviews or follows? Existing fraud detection methods …

Malicious crowdsourcing forums are gaining traction as sources of spreading misinformation
online, but are limited by the costs of hiring and managing human workers. In this paper, we …

Users increasingly rely on crowdsourced information, such as reviews on Yelp and Amazon,
and liked posts and ads on Facebook. This has led to a market for blackhat promotion …

Credit networks model transitive trust (or credit) between users in a distributed environment
and have recently seen a rapid increase of popularity due to their flexible design and …

Given a bipartite graph of users and the products that they review, or followers and
followees, how can we detect fake reviews or follows? Existing fraud detection methods …

People have long been aware of malicious users that impersonate celebrities or launch
identity theft attacks in social networks. However, beyond anecdotal evidence, there have …

Nowadays, a large number of customers purchase products and services online. Customers
can write their opinions in reviews to express the value and quality of purchased goods and …

A credit network models trust between agents in a distributed environment and enables
payments between arbitrary pairs of agents. With their flexible design and robustness …