Currently accepted at: JMIR Medical Informatics
Date Submitted: Sep 7, 2025
Date Accepted: Feb 17, 2026
This paper has been accepted and is currently in production.
It will appear shortly on 10.2196/83674
The final accepted version (not copyedited yet) is in this tab.
Emotion Expression in Breast Cancer Support Seeking: An Empirical Study of an Online Community
ABSTRACT
Background:
Breast cancer affects millions of women and presents not only medical challenges but also emotional, financial, and social burdens. Beyond clinical treatment, patients increasingly turn to online cancer communities (OCCs) for informational support, emotional support, and shared coping strategies. OCCs help patients manage daily life and reduce psychological distress through shared experiences and empathetic engagement.
Objective:
This study explores how emotions expressed in patients’ initial posts affect community engagement in OCCs. Using Plutchik’s emotional framework, it investigates whether different emotions lead to distinct patterns of member response, which offers insights into the emotional dynamics of peer support in digital health environments.
Methods:
This study leverages Plutchik’s Wheel of Emotions to explore how the eight primary emotions expressed in an initial post - surprise, anticipation, joy, sadness, trust, disgust, fear, and anger -distinctively influence responses of members in OCCs. We collect data from a breast cancer community, extract emotion scores from initial posts with Bidirectional Encoder Representations from Transformers (BERT), gauge the community responses in four categories, and empirically analyze the effects of different emotions on user response behavior.
Results:
The analysis results show that some emotions, e.g., joy, sadness, anticipation, and anger, consistently elicit stronger responses across all measured categories, and for most pairs of opposite emotions (e.g., surprise versus anticipation, joy versus sadness, and anger versus fear), the impacts on the four types of community responses move in parallel directions rather than opposite ones.
Conclusions:
Our study is the first to analyze how different expressed emotions in initial posts impact community engagement. The findings of this study provide future researcher a new perspective of understanding emotions, enhance our understanding of community dynamics in OCCs, and offer valuable implications for researchers, OCC facilitators, and medical professionals in supporting patients within these digital platforms.
Citation
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.