Research Papers

 
Misinformation, Disinformation, and Fake News? Proposing a New Typology Framework of False Information
Tsang, S. (forthcoming). Journalism.
An Experimental Study of the Effectiveness of Fact Checks: Interplay of Evidence Type, Veracity, and News Agreement
Tsang, S., Zheng, J., Li, W., & Salaudeen, M. (2023). Online Information Review, 47(4), 1415-1429.
Biased, not lazy: Assessing the effect of COVID-19 misinformation tactics on perceptions of inaccuracy and fakeness
Tsang, S. (2022). Online Media and Global Communication, 1(3), 469-496.
Issue stance and perceived journalistic motives explain divergent audience perceptions of fake news
Tsang, S. (2022). Journalism, 23(4), 823-840.
Assessing mechanisms underlying the sharing of official and unofficial information during a pandemic
Tsang, S., Zhao, X., & Chen, Y. R. (2021). International Journal of Environmental Research and Public Health, 18(24), 13298.
Motivated fake news perception: The impact of news sources and policy support on audiences’ assessment of news fakeness
Tsang, S. (2021). Journalism & Mass Communication Quarterly, 98(4),1059-1077.
Theorizing an Information Diagnosis System: The hybrid uses of manual fact-checking, crowdsourcing and artificial intelligence
Tsang, S., Huang, Y., Zhang, Y., Song, Y., & Zhou, L. (2021). 全球傳媒學刊, 8(1), 66-93.
Understanding perceived fakeness of online health news in Hong Kong
Tsang, S. (2020). International Journal of Digital Literacy and Digital Competence, 11(2), 1-11.
The popularity of contradictory information about COVID-19 vaccine on social media in China
Wang, D., & Zhou, Y. (2022). Computers in Human Behavior, 134, 107320.
The echo chamber effect of rumor rebuttal behavior of users in the early stage of COVID-19 epidemic in China
Wang, D., Zhou, Y., Qian, Y., & Liu, Y. (2022). Computers in Human Behavior, 128, 107088.
Opinion leaders and structural hole spanners influencing echo chambers in discussions about COVID-19 vaccines on social media in China: network analysis
Wang, D., Zhou, Y., & Ma, F. (2022). Journal of Medical Internet Research, 24(11), e40701.
Echo chamber effect in rumor rebuttal discussions about COVID-19 in China: social media content and network analysis study
Wang, D., & Qian, Y. (2021). Journal of Medical Internet Research, 23(3), e27009.
Study on the classification of user standpoints for the rumors of public health emergencies from the perspective of sfl theory—take the covid19 epidemic as an example
Dandan Wang*, Yanni Yang, and Rui Zhang. Journal of Modern Information in China, volume 41, pages 19–29, Feb 2021.

Book

 
Everything about Fact-checking
Tsang, S., Zhou, L., & Huang, Y. (eds.) (2024). The Commercial Press (HK).

Analytical Reports