Shah Hurmat Ali, Househ Mowafa
Hamad Bin Khalifa University College of Science and Engineering, Doha, Qatar
Hamad Bin Khalifa University College of Science and Engineering, Doha, Qatar.
BMJ Health Care Inform. 2025 Jan 19;32(1):e101116. doi: 10.1136/bmjhci-2024-101116.
Loneliness and insomnia are mutually occurring conditions. This paper investigates whether keywords depicting loneliness and insomnia are expressed together on social media. Understanding loneliness through data fills the gaps or validates the literature on loneliness from sociological and psychological perspectives. Loneliness is associated with various physical and mental health conditions but there are opportunities to understand it from the perspectives and lens of health informatics through social media data. Because loneliness is a subjective phenomenon, therefore, the self-reporting nature of social media data can provide an intimate glimpse into the feelings associated with loneliness.
This study uses sentiment analysis of collected tweets on loneliness and insomnia to filter out the tweets that have negative connotations. Those tweets are then further analysed to find out categories and themes associated with loneliness and insomnia.
Through the frequency of word occurrence analysis, it was seen that the association between loneliness and insomnia can be found. The association, in the tweets analysed, is mediated by words denoting depressive symptoms. Moreover, the themes and categories which are associated with the expression of both loneliness and insomnia are those of personal feelings and time.
孤独和失眠是相互关联的状况。本文调查了描述孤独和失眠的关键词在社交媒体上是否共同出现。通过数据理解孤独，从社会学和心理学角度填补了孤独相关文献的空白或验证了这些文献。孤独与各种身心健康状况相关，但有机会通过社交媒体数据从健康信息学的角度和视角来理解它。由于孤独是一种主观现象，因此社交媒体数据的自我报告性质可以让我们深入了解与孤独相关的感受。
本研究对收集到的关于孤独和失眠的推文进行情感分析，以筛选出具有负面含义的推文。然后对这些推文进行进一步分析，以找出与孤独和失眠相关的类别和主题。
通过词频分析发现，孤独和失眠之间存在关联。在所分析的推文中，这种关联由表示抑郁症状的词汇介导。此外，与孤独和失眠表达相关的主题和类别是个人感受和时间。
