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

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          Abstract

          Introduction

          In 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.

          Methods

          A 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.

          Results

          The 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.

          Discussion

          The 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.

          Conclusion

          This 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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          Most cited references86

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          Risk perceptions of COVID-19 around the world

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            A Meta-Analysis of Research on Protection Motivation Theory

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              Demographic and attitudinal determinants of protective behaviours during a pandemic: A review

              Purpose. A new strain of H1N1 influenza, also known as swine flu was confirmed in the UK in May 2009 and has spread to over 100 countries around the world causing the World Health Organization to declare a global flu pandemic. The primary objectives of this review are to identify the key demographic and attitudinal determinants of three types of protective behaviour during a pandemic: preventive, avoidant, and management of illness behaviours, in order to describe conceptual frameworks in which to better understand these behaviours and to inform future communications and interventions in the current outbreak of swine flu and subsequent influenza pandemics. Methods. Web of Science and PubMed databases were searched for references to papers on severe acute respiratory syndrome, avian influenza/flu, H5N1, swine influenza/flu, H1N1, and pandemics. Forward searching of the identified references was also carried out. In addition, references were gleaned from an expert panel of the Behaviour and Communications sub‐group of the UK Scientific Pandemic Influenza Advisory Group. Papers were included if they reported associations between demographic factors, attitudes, and a behavioural measure (reported, intended, or actual behaviour). Results. Twenty‐six papers were identified that met the study inclusion criteria. The studies were of variable quality and most lacked an explicit theoretical framework. Most were cross‐sectional in design and therefore not predictive over time. The research shows that there are demographic differences in behaviour: being older, female and more educated, or non‐White, is associated with a higher chance of adopting the behaviours. There is evidence that greater levels of perceived susceptibility to and perceived severity of the diseases and greater belief in the effectiveness of recommended behaviours to protect against the disease are important predictors of behaviour. There is also evidence that greater levels of state anxiety and greater trust in authorities are associated with behaviour. Conclusions. The findings from this review can be broadly explained by theories of health behaviour. However, theoretically driven prospective studies are required to further clarify the relationship between demographic factors, attitudes, and behaviour. The findings suggest that intervention studies and communication strategies should focus on particular demographic groups and on raising levels of perceived threat of the pandemic disease and belief in the effectiveness of measures designed to protect against it.
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                Author and article information

                Contributors
                Journal
                Front Psychol
                Front Psychol
                Front. Psychol.
                Frontiers in Psychology
                Frontiers Media S.A.
                1664-1078
                29 August 2023
                2023
                29 August 2023
                : 14
                : 1201481
                Affiliations
                [1] 1Shanghai University of Engineering Sciences , Shanghai, China
                [2] 2Department of Psychology, Faculty of Arts, University of British Columbia , Vancouver, BC, Canada
                [3] 3Sustainability Research Centre, University of the Sunshine Coast , Sunshine Coast, QLD, Australia
                [4] 4Faculty of Business and Law, Edith Cowan University , Edith Cowan, WA, Australia
                Author notes

                Edited by: Lori Pennington-Gray, University of South Carolina, United States

                Reviewed by: Bingjie Liu-Lastres, Purdue University Indianapolis, United States; Ansar Abbas, Airlangga University, Indonesia; Shaohua Yang, Anhui University of Technology, China

                *Correspondence: Noel Scott, dr.noel.scott@ 123456gmail.com
                Article
                10.3389/fpsyg.2023.1201481
                10495595
                37705952
                adf12365-f3bf-4b20-a99f-3b22cd369d1f
                Copyright © 2023 Sun, Ye, Tang, Yang and Scott.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 06 April 2023
                : 14 August 2023
                Page count
                Figures: 2, Tables: 8, Equations: 0, References: 87, Pages: 14, Words: 10942
                Categories
                Psychology
                Original Research
                Custom metadata
                Environmental Psychology

                Clinical Psychology & Psychiatry
                new media,traditional media,media use intensity,epidemic risk perception,travel protective behavioral intention,covid-19 impact

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