Dynamic Multi-view Group Preference Learning for group behavior prediction in social networks

Li, Weimin; Cai, Zhipeng; Zhou, Xiaokang; Jin, Qun

doi:10.1016/j.eswa.2023.120553

Cited by 7 publications

(1 citation statement)

References 23 publications

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“…Multi-Group Analysis (MGA) is a statistical method used in structural equation modeling (SEM) when research involves comparison between two or more groups ( Li et al, 2023 ). This approach facilitates the examination on whether construct relationships, as theorized in our model, hold uniformly across various groups.…”

Section: Resultsmentioning

confidence: 99%

The impact of the intensity of media use on potential tourists’ risk perception and travel protective behavioral intentions in COVID-19

Sun,

Ye,

Tang

et al. 2023

Front. Psychol.

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IntroductionIn light of the COVID-19 pandemic, there is an increased need for potential travelers to gather information about their trips to mitigate perceived risks. This study aims to understand the relationship between the intensity of media use (both new and traditional), epidemic risk perception, and tourism protection behavior intention among potential tourists.MethodsA total of 491 valid questionnaires were collected in Shanghai, China. Factor analysis, path analysis, and effect analysis were conducted using SPSS and AMOS to examine the impact of different media types on epidemic risk perception and tourism protection behavior.ResultsThe findings indicate a positive association between new media use intensity and epidemic risk perception, as well as an intention to adopt safety-conscious tourism behaviors. In contrast, traditional media usage is inversely associated with risk perception but has no significant influence on protective behavior. The results also highlight the role of demographic factors, such as age, education level, occupation, and income, in modulating the relationship between media usage and risk perception.DiscussionThe contrasting effects of new and traditional media suggest the need for a tailored approach in epidemic communication strategies. Public health officials should leverage new media to enhance risk perception and safety-oriented behaviors, while recognizing the role of traditional media in managing lower risk perceptions and assuaging panic. The study emphasizes the importance of personalized messaging based on demographic disparities in media usage and perception. The mediating role of risk perception in shaping protective behaviors offers insights for promoting adherence to safety protocols.ConclusionThis study contributes to a comprehensive understanding of media influences during health crises, emphasizing the responsibility of media platforms in transmitting accurate information. The findings call for a nuanced approach to epidemic communication, considering the strengths and weaknesses of different media types. Segmented and personalized messaging strategies can cater to demographic variations in media usage and perception. Enhancing risk perception through tailored messaging can promote protective behaviors and effectively manage public sentiment during health crises.

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Section: Resultsmentioning

confidence: 99%