XPath Practice Lab — HKBU Comm

Showing 7 results

#1FEATUREDPUBLISHED2024
Algorithmic Bias in Social Media News Curation: A Hong Kong Case Study
Chan, W.M.; Lee, S.F.; Wong, K.Y.
Journalism & Mass Communication Quarterly · 101(2) · pp. 234–258 · DOI: 10.1177/10776990241234567
This study examines how algorithmic curation systems on major social media platforms systematically under-represent local Hong Kong news content.
Cited by 47
algorithmic biassocial medianews curation
#2PUBLISHED2024
Digital Literacy Among Elderly Populations in Urban China
Zhang, L.; Li, H.
New Media & Society · 26(4) · pp. 891–912 · DOI: 10.1177/14614448241098765
A survey-based investigation into digital media competencies among adults aged 65 and above in four major Chinese cities.
Cited by 23
digital literacyelderlyChina
#3FEATUREDPUBLISHED2023
Framing Climate Change in Cantonese-Language Media
Lam, H.T.; Ng, C.W.; Chan, W.M.
Environmental Communication · 17(6) · pp. 712–731 · DOI: 10.1080/17524032.2023.2187654
Content analysis of 1,200 news articles from six Cantonese-language outlets over a five-year period reveals distinct framing patterns.
Cited by 61
climate changeframingCantonese media
#4PUBLISHED2023
Misinformation Spread During Public Health Crises on WhatsApp
Cheung, M.L.; Ho, P.K.
Health Communication · 38(9) · pp. 1102–1118 · DOI: 10.1080/10410236.2023.2234567
Tracing the diffusion of health misinformation through closed messaging groups during the 2022–2023 respiratory illness outbreak.
Cited by 89
misinformationWhatsApppublic health
#5PUBLISHED2022
Investigative Journalism in the Post-Print Era: Newsroom Practices
Wong, K.Y.; Yip, S.L.
Journalism Practice · 16(3) · pp. 445–463 · DOI: 10.1080/17512786.2022.2056789
Ethnographic study of three Hong Kong newsrooms undergoing digital transformation, focusing on investigative reporting workflows.
Cited by 34
investigative journalismnewsroomdigital transition
#6RETRACTED2022
Social Capital and Online Civic Engagement Among Youth
Fung, A.K.
Journal of Communication · 72(1) · pp. 88–107 · DOI: 10.1093/joc/jqab045
RETRACTED: This article has been retracted due to data integrity concerns identified during post-publication review.
Cited by 0
social capitalcivic engagementyouth
#7FEATUREDPUBLISHED2024
AI-Generated News and Audience Trust: An Experimental Study
Lee, S.F.; Chan, W.M.; Tam, R.
Digital Journalism · 12(1) · pp. 1–22 · DOI: 10.1080/21670811.2024.2312345
A 2×2 factorial experiment testing whether disclosure of AI authorship affects reader trust and perceived credibility of news articles.
Cited by 12
AI journalismaudience trustexperiment

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Algorithmic Bias in Social Media News Curation: A Hong Kong Case Study

Digital Literacy Among Elderly Populations in Urban China

Framing Climate Change in Cantonese-Language Media

Misinformation Spread During Public Health Crises on WhatsApp

Investigative Journalism in the Post-Print Era: Newsroom Practices

Social Capital and Online Civic Engagement Among Youth

AI-Generated News and Audience Trust: An Experimental Study