了解超级用户和常规用户在英国呼吸系统在线健康社区的参与和互动:基于深度学习的情绪分析
Xiancheng Li1, Emanuela Vaghi2, Gabriella Pasi2
1School of Business and Management, Queen Mary University of London, London, United Kingdom.
Journal of medical Internet research
|February 13, 2025
概括
在线健康社区 (OHCs) 中,高度活跃的用户或超级用户促进了对长期疾病 (LTCs) 患者的积极互动和支持. 他们的参与显著影响社区动态和用户情绪,促进更积极的自我管理环境.
科学领域:
- 计算机语言学和社交网络分析应用于在线健康社区.
- 在数字健康干预中对用户生成内容的情绪分析.
- 了解用户参与和支持慢性疾病自我管理中的动态.
背景情况:
- 在线健康社区 (OHCs) 对于患有长期疾病 (LTCs) 的人来说,是分享经验和获得同行支持的重要平台.
- 高度活跃的用户,称为"超级用户",对于保持社区凝聚力和促进有效的信息交换至关重要.
- 需要进一步的研究来了解常规用户与超级用户的互动以及对自我管理的影响.
研究的目的:
- 分析两个呼吸道OHC的帖子中的情绪分布和动态.
- 专注于这些社区中常规用户和超级用户之间的互动.
- 评估超级用户参与对整体情绪和支持交换的影响.
主要方法:
- 对来自英国喘英国 (AUK) 和英国肺部基金会 (BLF) OHC (2006-2016年和2012-2016年) 的匿名数据进行了情绪分析.
- 在COVID-19推特数据集上训练的微调的BioBERT模型被用于情绪分类 (积极:1,中立:0,负:1).
- 超级用户是通过发布活动 (前1%) 和VoteRank来识别的;情绪分析将这些定义和用户交互相关联.
主要成果:
- 生物BERT模型实现了0.96准确度;主要观察到积极的情绪 (60-65%),随着时间的推移而增加.
- 超级用户发布的短,更积极的信息 (63-67%);超级用户的定义活动和VoteRank在很大程度上重叠.
- 超级用户发起的线程和对常规用户的回复始终显示出比其他用户的互动更积极的情绪.
结论:
- 超级用户通过积极的情绪和参与,在维持呼吸道OHC方面发挥着关键作用.
- 网络和情绪分析揭示了超级用户在引发常规用户之间的积极互动方面的影响.
- 这些发现强调了超级用户动态对于在线健康环境中有效的同行支持的重要性.
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