Dr Marc Cheong
Senior Lecturer - Information Systems
School of Computing and Information Systems
76 Scholarly works
6 Projects
HIGHLIGHTS
2026
Journal article
Decentralized Social Media
DOI: 10.1007/s12599-025-00952-42026
Research grants (other domestic)
Virtue Signaling Through AI Influencers – Ethical Challenges and a Cross-Cultural Comparison Between Germany and Australia
2026
Book
Transition to Digital Ethics: A Primer from Philosophy to Practice
DOI: 10.1201/97810033935112026
Journal article
‘Will there be parmesan?’ – Understanding migrants’ information needs and sources for transition to new country
DOI: 10.47989/ir31iConf641622025
Research grants (international)
Institutional Support
2025
Journal article
Bias and Discrimination Against Women and Parents in Semi-Automated Hiring Systems
DOI: 10.1111/ntwe.123212022
Research Contracts
Social Virtue Epistemology: What Does It Take to Be an Intellectually Humble Socratic Gadfly?
RECENT SCHOLARLY WORKS
2025
Journal article
Same Same, But Different: An Examination of Different Student Groups' Information Behaviors
DOI: 10.1002/pra2.12352025
Journal article
Everyone, everyday, everywhere: Designing a quantitative measure of information behaviors
DOI: 10.1016/j.teler.2025.1002382025
Journal article
“Lost in the crowd”: ethical concerns in crowdsourced evaluations of LLMs
DOI: 10.1007/s43681-025-00671-22025
Journal article
Driving Dynamic Capabilities With Human-AI Interactions
DOI: 10.5465/amproc.2025.23714abstract2025
Conference Proceedings
A Whole New World: Migrant Journeys Through Digital Information Landscapes
DOI: 10.1145/3698204.37164602025
Journal article
The phantom information booth: migrant and sedentary tertiary students’ tactics in the face of suspect information on social media
DOI: 10.1108/JD-06-2024-0153
RECENT PROJECTS
2022
Research Contracts
Finding and Reducing Biases in the Use of Natural Language Processing Models Based on Victorian Hospital Emergency Department Triage Text
2022
Research Contracts
Finding and Reducing Biases in the Use of Natural Language Processing Models Based on Victorian Hospital Emergency Department Triage Text