This paper addresses the problem of fake news detection. There are many works already in
this space; however, most of them are for social media and not using news content for the …

Purpose Because information technology (IT) can change the way we look at the world,
some benefits for human communities, such as trust, care, friendship and commitment can …

As Pre-trained language models (LMs) play an important role in various Natural Language
Processing (NLP) tasks, it is becoming increasingly important to make sure the knowledge …

The task of sequential model editing is to fix erroneous knowledge in Pre-trained Language
Models (PLMs) efficiently, precisely and continuously. Although existing methods can deal …

Logs record system events and status, which help developers and system administrators
diagnose run time errors, monitor running status and mine operation patterns [13, 23] …

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 …

Second-order Bayesian networks extend Bayesian networks by incorporating uncertainty in
the conditional probabilities. This paper develops a method for inference in a binary second …

Wikipedia infoboxes are a valuable source of structured knowledge for global knowledge
sharing. However, infobox information is very incomplete and imbalanced among the …

Computational trust mechanisms aim to produce trust ratings from both direct and indirect
information about agents' behaviour. Subjective Logic (SL) has been widely adopted as the …

Subjective Bayesian networks extend Bayesian networks by incorporating uncertainty in the
conditional probabilities. This paper develops subjective belief propagation (SBP) that …