Understanding public preference for misinformation interventions: support for digital platform monitoring, media literacy education and legislation
Tsang, S.J. and Zhou, L. (2025), Online Information Review, Vol. ahead-of-print No. ahead-of-print. |
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. |
| 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. |
| 王丹丹, 楊艷妮, & 張瑞. (2021). 現代情報, 19-29. |
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