Emotional and Informational Dynamics in Question-Response Pairs in Online Health Communities: A Multimodal Deep Learning Approach

IF 6.9 3区管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Information Systems Frontiers Pub Date : 2025-01-03 DOI:10.1007/s10796-024-10566-y

Mohsen Jozani, Jason A Williams, Ahmed Aleroud, Sarbottam Bhagat

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引用次数: 0

Abstract

Online health communities (OHCs) offer emotional and informational support to their users. However, past research has primarily treated these supports as separate, but they coexist in messages, making it essential to consider the emotional valence of text to understand the support being provided. This study examines how aligning questions and responses in OHCs reduces information gaps, and enhances support quality and perceived helpfulness. We use a labeled data set of question-response pairs to develop multimodal machine learning models to predict support interactions. Using explainable AI, we reveal the emotions within support exchanges, underscoring how emotional valence in the text determines informational support in OHCs and provide insight into the interaction between emotional and informational support. This study refines social support theory and establishes a foundation for decision aids and emotion-sensitive AI systems to deliver personalized social support tailored to users’ informational and emotional needs.

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情感和信息动态在在线健康社区的问题-反应对：一个多模态深度学习方法

在线卫生社区（ohc）为其用户提供情感和信息支持。然而，过去的研究主要是将这些支持视为独立的，但它们共存于信息中，这使得考虑文本的情感价来理解所提供的支持至关重要。本研究探讨了OHCs如何调整问题和回答以减少信息差距，并提高支持质量和感知帮助。我们使用问题-响应对的标记数据集来开发多模态机器学习模型来预测支持交互。使用可解释的人工智能，我们揭示了支持交换中的情感，强调了文本中的情感价如何决定ohc中的信息支持，并提供了情感和信息支持之间相互作用的见解。本研究完善了社会支持理论，为决策辅助和情绪敏感人工智能系统提供个性化的社会支持奠定了基础，以满足用户的信息和情感需求。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Information Systems Frontiers 工程技术-计算机：理论方法

CiteScore

13.30

自引率

18.60%

发文量

127

审稿时长

9 months

期刊介绍： The interdisciplinary interfaces of Information Systems (IS) are fast emerging as defining areas of research and development in IS. These developments are largely due to the transformation of Information Technology (IT) towards networked worlds and its effects on global communications and economies. While these developments are shaping the way information is used in all forms of human enterprise, they are also setting the tone and pace of information systems of the future. The major advances in IT such as client/server systems, the Internet and the desktop/multimedia computing revolution, for example, have led to numerous important vistas of research and development with considerable practical impact and academic significance. While the industry seeks to develop high performance IS/IT solutions to a variety of contemporary information support needs, academia looks to extend the reach of IS technology into new application domains. Information Systems Frontiers (ISF) aims to provide a common forum of dissemination of frontline industrial developments of substantial academic value and pioneering academic research of significant practical impact.