All projects seek to provide solutions to information credibility, fact checking, and reader experience in the interest of addressing digital disinformation.

Traditional Chinese Medicine (TCM) Project

This project seeks to examine how news audiences in Hong Kong process and evaluate Chinese medicine-related advertisement. In particular, we will explore factors which influence perceptions of news credibility on social media platforms such as Facebook. The ultimate goal is to shed light on whether and how various web and message elements interact to impact credibility ratings among news readers.

Fact Checking Project

According to the Extended Elaboration Likelihood model (Nieminen & Rapeli, 2018), individuals tend to scrutinize the message’s merits when they are highly involved in that specific issue. Borrowing that logic, this project seeks to test how the Elaboration Likelihood model as well as the Extended Elaboration Likelihood model works in corrective, partisan information processing. The findings are expected to contribute to the underlying mechanism of fake news processing, in particular among partisans. 

Political Website Project

The system justification theory suggests that when people encounter ideological conflicts, they tend to adjust and update their cognition in order to maintain the overall balance of social value. To test whether the voting behavior of contemporary Americans conforms to the system justification theory, participants with different political leanings will be asked to complete an online experiment. They will view a political candidate’s campaign webpage, varying in political ideology (Democratic vs. Republican) and issue attitude.