Publication Type
Conference Poster
Version
publishedVersion
Publication Date
5-2021
Abstract
For immigrant families, instant messaging family groups are a common platform forsharing and discussing health-related information. Immigrants often maintain contact with their family abroad and trust information in shared IM family groups more than the information from local authorities and sources. In this study, we aimed to understand health-related information behaviors of immigrant families in their IM family groups. Based on the interviews with 6 participants from immigrant families to Canada, we found that immigrant families’ discourse on IM platforms is motivated by love and care for other family members. The families used local and international sources of information, judged information credibility by its alignment with their pre-existing knowledge, and mostly did not verify information further. The information shared by diferent users from diferent sources often contradicted one another. Yet, family members did not discuss the conficting information due to their desire to avoid tensions.
Keywords
Health-related information exchange, immigrant families, Information behaviors, Instant messaging platforms
Discipline
Health Information Technology | Software Engineering
Research Areas
Information Systems and Management
Publication
CHI EA '21: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems, Yokohama, Japan, May 8-13
First Page
1
Last Page
6
ISBN
9781450380959
Identifier
10.1145/3411763.3451751
Publisher
ACM
City or Country
Yokohama, Japan
Citation
PORETSKI, Lev; TAABASSUM, Taamannae; and TANG, Anthony.
Immigrant families' health-related information behavior on instant messaging platforms: Health-related information exchange in immigrant family groups on instant messaging platforms. (2021). CHI EA '21: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems, Yokohama, Japan, May 8-13. 1-6.
Available at: https://ink.library.smu.edu.sg/sis_research/7962
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1145/3411763.3451751