Affiliation:
1. Department of Media and Communication, City University of Hong Kong, Hong Kong
2. Department of Communication Studies, Hong Kong Baptist University, Hong Kong
Abstract
Abstract
Online information seekers often do not actively post or engage in interactions with others, inviting research on how passive users of online communities benefit from the information they see. Based on the social identity model of deindividuation effects model (SIDE) and social identity theory, we proposed and tested the idea that observers of a supportive interaction online could relate to the observed support seeker based on their shared gender and, in turn, become vicariously influenced by the support provider’s message to the support seeker. An experiment using a sample of young adults (N = 326) in the United States provided support to the proposition. Furthermore, the outcomes of the vicarious interaction were qualified by the genders of the observed interactants and enhanced by the lack of profile photos. The findings advance the understandings of vicarious interaction in online context and guide the design of online communities to promote mental well-being.
Lay Summary
Ample evidence shows that people benefit tremendously from participating in online health support communities, but less is understood about how people who do not actively participate in interactions benefit from these communities. We conducted an online experiment using a sample of young adults in the United States. The results showed that females, compared with males, are more likely to be persuaded to seek professional counseling for mental health issues from observing a supportive conversation online. The persuasive effect of reading supportive interactions was enhanced when female participants shared the same gender with the observed support seeker and when the observed interactants had no profile photos.
Funder
Department of Media and Communication, City University of Hong Kong
City University of Hong Kong
Hong Kong Baptist University
Publisher
Oxford University Press (OUP)
Subject
Computer Networks and Communications,Computer Science Applications
Cited by
9 articles.
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