Mechanism of risk perception diffusion in public health emergencies: Based on the dual perspectives of cross‐evolution and emotional difference DOI
Yueqian Zhang, X. Li, Quanlong Liu

и другие.

Applied Psychology Health and Well-Being, Год журнала: 2024, Номер 17(1)

Опубликована: Дек. 16, 2024

Abstract The high‐level risk perception diffusion caused by public health emergencies seriously threatens mental and social stability. Much scholarly attention focused on the traditional epidemic models or simply combined content attributes, overlooking differences in individual characteristics. This paper proposes an S 1 2 EI pos I neu neg R model of innovatively subdividing susceptible people infectious people. Then, taking Xi'an as example ( N = 105,417), this employs sentiment analysis Word2Vec Bi‐LSTM to calculate emotional value microblog text quantify perception. Finally, numerical experiments are conducted explore effects cross‐evolution difference under different scenarios. Findings reveal that a larger initial density accelerates diffusion, with negative emotions playing dominant role. In addition, higher level lower heterogeneity, greater maximum impact final scale diffusion. When emergency deteriorates, tends shift high‐risk Otherwise, it tilt low‐risk These findings provide critical insights for developing precise guidance strategies enhancing governance capabilities.

Язык: Английский

Mechanism of risk perception diffusion in public health emergencies: Based on the dual perspectives of cross‐evolution and emotional difference DOI
Yueqian Zhang, X. Li, Quanlong Liu

и другие.

Applied Psychology Health and Well-Being, Год журнала: 2024, Номер 17(1)

Опубликована: Дек. 16, 2024

Abstract The high‐level risk perception diffusion caused by public health emergencies seriously threatens mental and social stability. Much scholarly attention focused on the traditional epidemic models or simply combined content attributes, overlooking differences in individual characteristics. This paper proposes an S 1 2 EI pos I neu neg R model of innovatively subdividing susceptible people infectious people. Then, taking Xi'an as example ( N = 105,417), this employs sentiment analysis Word2Vec Bi‐LSTM to calculate emotional value microblog text quantify perception. Finally, numerical experiments are conducted explore effects cross‐evolution difference under different scenarios. Findings reveal that a larger initial density accelerates diffusion, with negative emotions playing dominant role. In addition, higher level lower heterogeneity, greater maximum impact final scale diffusion. When emergency deteriorates, tends shift high‐risk Otherwise, it tilt low‐risk These findings provide critical insights for developing precise guidance strategies enhancing governance capabilities.

Язык: Английский

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