Generational differences in health information behaviors during the Covid-19 crisis
A Hong Kong study
Bibliographic Data
| ID | 21215489 |
|---|---|
| Authors | Leanne Chang (0000-0001-9008-2166, Hong Kong Baptist University, corresponding author), Timothy K F Fung (0000-0003-2710-0282, Hong Kong Baptist University), Ho Man Leung (0009-0001-0221-6177, Hong Kong Baptist University), Po Yan Lai (0000-0002-8610-5836, Hong Kong Baptist University) |
| Year | 2024 |
| Volume | 9 |
| Issue | 3 |
| Pages | 303-324 |
| Publication date | 2024-09-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Global Media and China (JOURNAL) |
| Journal identifiers | ISSN: 2059-4364 • E-ISSN: 2059-4372 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/20594364241238635 |
| OpenAlex | W4392741442 |
| Language | EN |
| Citations received | 1 |
| References cited | 65 |
The literature has explored age differences in health information seeking during the COVID-19 pandemic. However, there is a noticeable gap in research regarding generational variations in the underlying factors of health information scanning and sharing, as well as generational differences in the interplay of health information seeking, scanning, and sharing. This study examined: (1) differences in risk- and channel-related motivators of online health information seeking, online health information scanning, and COVID-19 information sharing among three generational cohorts: Baby Boomers, Generation X, and Millennials; and (2) generational differences in the relationship between information seeking, scanning, and sharing. The focus on generational differences took into consideration both biological and social differences in age cohorts when comparing their information behaviors. The data came from an online survey of 1,004 Hong Kong residents. Results showed generational similarities in individuals’ more frequent information scanning than seeking and the positive relationship between information seeking and sharing. Generational differences emerged in several aspects, including the frequency of information seeking and scanning; the relationship between health status and information seeking; associations of income, health status, channel characteristics, and channel utility with information scanning; and associations of information seeking and scanning with information sharing. These findings offer insights into how risk- and channel-related factors may differ among generations or transcend generational differences in shaping individuals’ information behaviors in the historical and cultural context of COVID-19 in Hong Kong. Results of our study inform communication strategies for different generational groups in future public health crises
Geography · Information seeking · Information seeking behavior · Information sharing · Political science · Health Literacy and Information Accessibility · Mental Health via Writing · Misinformation and Its Impacts · Psychology
Essays on the sociology of knowledge.
Struggles with Survey Weighting and Regression Modeling
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eHealth Literacy and Web 2.0 Health Information Seeking Behaviors Among Baby Boomers and Older Adults
Examining the Dimensions of Cancer-Related Information Seeking and Scanning Behavior
Cancer Information Scanning and Seeking Behavior is Associated with Knowledge, Lifestyle Choices, and Screening
Constructing validity
Sharing health information online in South Korea
The effects of worry, risk perception, information-seeking experience, and trust in misinformation on Covid-19 fact-checking
Source Trust and Covid-19 Information Sharing
Predicting Information Behaviors in the Covid-19 Pandemic
Understanding Online Health Risk Information Seeking and Avoiding during the Covid-19 Pandemic
Sharing health information across online platforms
Connecting activities on Social Network Sites and life satisfaction
Machine learning techniques and older adults processing of online information and misinformation
Understanding the Facebook Users' Behavior towards Covid-19 Information Sharing by Integrating the Theory of Planned Behavior and Gratifications
Information seeking and information sharing during the Covid-19 pandemic
Social capital and health information seeking in China
Vulnerable populations and misinformation
Outbreak! Socio-cognitive motivators of risk information sharing during the 2018 South Korean Mers-CoV epidemic
Factors Associated with Use of Interactive Cancer Communication System
Digital Natives, Digital Immigrants Part 2
Changing Values among Western Publics from 1970 to 2006
A Comprehensive Model of Information Seeking
A Comprehensive Model of Cancer-Related Information Seeking Applied to Magazines
| Unique citing works | 1 |
|---|---|
| Citations per year | 0.5 |
| Citation span | 2024 - 2024 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |