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Fig. 3 | BMC Digital Health

Fig. 3

From: Bridging online and offline dynamics of the face mask infodemic

Fig. 3

Mediation models of online-offline dynamics in relation to the face mask infodemic. The effect of state politics and mask mandates on future mask-wearing (14-day lag) and COVID-19 cases (21-day lag) is partially mediated by low-credibility information and bot activity, which in turn shape online anti-mask and pro-mask stance. All coefficients are standardized, with statistical significance reported as: \(^{+}p< .10, ^{*}p< .05, ^{**}p< .01, ^{***}p < .001\). Top: Model 1 includes the full data corpus (\(N = 11266\)) without mask-wearing data. Bottom: Model 2 uses a subset of the data (\(N = 4010\)) coinciding with mask-wearing data

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