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 |