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      From information seeking to information avoidance: Understanding the health information behavior during a global health crisis

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          Highlights

          • The study examines the factors leading to information avoidance during COVID-19 pandemic.

          • Mass Media, Print Media and official websites are used for information seeking during the pandemic.

          • Only Social Media exposure results in information overload and information anxiety.

          • Information overload is strongly associated with information anxiety which gives rise to information avoidance.

          • We extend the applicability of S-O-R model to the information behavior domain, especially during the uncertain times.

          Abstract

          Individuals seek information for informed decision-making, and they consult a variety of information sources nowadays. However, studies show that information from multiple sources can lead to information overload, which then creates negative psychological and behavioral responses. Drawing on the Stimulus-Organism-Response (S-O-R) framework, we propose a model to understand the effect of information seeking, information sources, and information overload (Stimuli) on information anxiety (psychological organism), and consequent behavioral response, information avoidance during the global health crisis (COVID-19). The proposed model was tested using partial least square structural equation modeling (PLS-SEM) for which data were collected from 321 Finnish adults using an online survey. People found to seek information from traditional sources such as mass media, print media, and online sources such as official websites and websites of newspapers and forums. Social media and personal networks were not the preferred sources. On the other hand, among different information sources, social media exposure has a significant relationship with information overload as well as information anxiety. Besides, information overload also predicted information anxiety, which further resulted in information avoidance.

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          Most cited references90

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          A new criterion for assessing discriminant validity in variance-based structural equation modeling

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            Partial least squares structural equation modeling (PLS-SEM)

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              Isolation, quarantine, social distancing and community containment: pivotal role for old-style public health measures in the novel coronavirus (2019-nCoV) outbreak

              Public health measures were decisive in controlling the SARS epidemic in 2003. Isolation is the separation of ill persons from non-infected persons. Quarantine is movement restriction, often with fever surveillance, of contacts when it is not evident whether they have been infected but are not yet symptomatic or have not been infected. Community containment includes measures that range from increasing social distancing to community-wide quarantine. Whether these measures will be sufficient to control 2019-nCoV depends on addressing some unanswered questions.
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                Author and article information

                Journal
                Inf Process Manag
                Inf Process Manag
                Information Processing & Management
                The Author(s). Published by Elsevier Ltd.
                0306-4573
                0306-4573
                29 November 2020
                March 2021
                29 November 2020
                : 58
                : 2
                : 102440
                Affiliations
                [a ]Department of Information Management, University of the Punjab, Lahore, Pakistan
                [b ]Department of Future Technologies, Faculty of Science & Engineering, University of Turku. Finland
                Author notes
                [* ]Corresponding author.
                Article
                S0306-4573(20)30933-X 102440
                10.1016/j.ipm.2020.102440
                7700063
                33281273
                685cfe32-17c6-4dcc-93f5-fa498c8cb208
                © 2020 The Author(s)

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

                History
                : 14 July 2020
                : 9 November 2020
                : 14 November 2020
                Categories
                Article

                information seeking,information overload,information anxiety,information avoidance,covid-19

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