Citation
Abstract
Social media is used by the masses not only to seek health information but also to express feelings on an array of issues, including those related to health. However, there has been little investigation on the influence of expressing and receiving information in terms of health-related engagement on social media. Moreover, little is known of the cognitive mechanisms underlying the expression and reception of health information on information overload (IO) during an infectious disease outbreak. Guided by the Cognitive Mediation Model (CMM), this study proposes a conceptual model to understand the effects of receiving and expressing COVID-19 information on social media on IO. Using an online survey conducted in Malaysia, our results indicated that risk perception positively predicted the reception and expression of information which, in turn, was positively associated with perceived stress and IO. Additionally, perceived stress triggered IO, indicating that the greater the perceived stress from health information engagement, the higher the likelihood of one experiencing IO during the pandemic. We conclude that the CMM can be extended to study IO as an outcome variable. More studies in diverse health contexts need to be conducted to enhance the conceptualization and operationalization of IO in health information processing.
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Official URL or Download Paper: https://www.mdpi.com/1660-4601/19/13/7991
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Additional Metadata
Item Type: | Article |
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Divisions: | Faculty of Modern Language and Communication |
DOI Number: | https://doi.org/10.3390/ijerph19137991 |
Publisher: | Multidisciplinary Digital Publishing Institute |
Keywords: | Health information overload; Cognitive Mediation Model; Information engagement; Information processing; COVID-19 |
Depositing User: | Ms. Nuraida Ibrahim |
Date Deposited: | 24 May 2023 02:02 |
Last Modified: | 24 May 2023 02:02 |
Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.3390/ijerph19137991 |
URI: | http://psasir.upm.edu.my/id/eprint/103540 |
Statistic Details: | View Download Statistic |
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