Drawing on the Misinformation Recognition and Response Model (MRRM), this study investigates how AI emotional tone and thinking dispositions influence hallucination detection in health communication. A Wizard-of-Oz experiment (N = 476) examined the role of authoritative and sympathetic tones as independently manipulated tone in AI-generated health responses containing embedded hallucinations. The results showed that authoritative tone significantly reduced participants' hallucination detection sensitivity. While sympathetic tone did not show a significant effect. The analysis also indicated that thinking dispositions did not significantly moderate the influence of tone on hallucination detection sensitivity.
The migration of U.S. TikTok users to RedNote following a nationwide ban has created a unique context for examining digital resistance within the framework of algorithmic governance. Drawing on critical cultural theory and de Certeau's concept of the tactics of the weak, this study explores how displaced U.S. users on RedNote engage in various resistance tactics, shaped by the platform's technological infrastructure. Through an analysis of 426 videos produced by TikTok refugees, three primary tactics are summarized: emotional mobilization that builds solidarity but faces algorithmic co-optation, carnivalesque performances that sustain engagement at the cost of political dilution, and infrastructural resistance that redirects followers while remaining platform-dependent.
