Abstract
Online health information is critical during pandemics. Previous research has focused on examining antecedents or consequences of particular information behaviors (e.g., seeking, sharing), but the process by which one information behavior influences or transforms into other information behaviors remains poorly understood. Guided by theories of information behavior and the literature on online misinformation, this study proposes an interaction model of online information behaviors that theorizes relationships among online information scanning, misinformation exposure, misinformation elaboration, information sharing, and information avoidance. Conducting a two-wave representative panel survey in Hong Kong during the COVID-19 pandemic (N = 1501), we found that online information scanning at Wave 1 had a direct, positive impact on misinformation exposure and information sharing at Wave 2, while it did not have an impact on information avoidance at Wave 2. Additionally, misinformation exposure was positively related to both information sharing and information avoidance at Wave 2. Importantly, we underlined that evaluations of crisis-related misinformation are aided by misinformation elaboration, which plays a moderating role in catalyzing appropriate information behaviors. Results of this study could help scholars and practitioners propose evidence-based interventions for enhancing the public's ability to manage crisis information on the Internet in times of heightened uncertainty. © 2023 Elsevier Ltd
| Original language | English |
|---|---|
| Article number | 107790 |
| Journal | Computers in Human Behavior |
| Volume | 146 |
| Online published | 20 Apr 2023 |
| DOIs | |
| Publication status | Published - Sept 2023 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Research Keywords
- Human information behaviors
- Longitudinal survey
- Misinformation elaboration
- Misinformation exposure
- Online information scanning
Publisher's Copyright Statement
- COPYRIGHT TERMS OF DEPOSITED POSTPRINT FILE: © 2023. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/.
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