Paving the way for COVID survivors' psychosocial rehabilitation: Mining topics, sentiments, and their trajectories over time from Reddit.

IF 2.2 3区 医学 Q2 HEALTH CARE SCIENCES & SERVICES
Moez Farokhnia Hamedani, Mostafa Esmaeili, Yao Sun, Ehsan Sheybani, Giti Javidi
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Abstract

Objective: This study examined major themes and sentiments and their trajectories and interactions over time using subcategories of Reddit data. The aim was to facilitate decision-making for psychosocial rehabilitation. Materials and Methods: We utilized natural language processing techniques, including topic modeling and sentiment analysis, on a dataset consisting of more than 38,000 topics, comments, and posts collected from a subreddit dedicated to the experiences of people who tested positive for COVID-19. In this longitudinal exploratory analysis, we studied the dynamics between the most dominant topics and subjects' emotional states over an 18-month period. Results: Our findings highlight the evolution of the textual and sentimental status of major topics discussed by COVID survivors over an extended period of time during the pandemic. We particularly studied pre- and post-vaccination eras as a turning point in the timeline of the pandemic. The results show that not only does the relevance of topics change over time, but the emotions attached to them also vary. Major social events, such as the administration of vaccines or enforcement of nationwide policies, are also reflected through the discussions and inquiries of social media users. In particular, the emotional state (i.e., sentiments and polarity of their feelings) of those who have experienced COVID personally. Discussion: Cumulative societal knowledge regarding the COVID-19 pandemic impacts the patterns with which people discuss their experiences, concerns, and opinions. The subjects' emotional state with respect to different topics was also impacted by extraneous factors and events, such as vaccination. Conclusion: By mining major topics, sentiments, and trajectories demonstrated in COVID-19 survivors' interactions on Reddit, this study contributes to the emerging body of scholarship on COVID-19 survivors' mental health outcomes, providing insights into the design of mental health support and rehabilitation services for COVID-19 survivors.

为 COVID 幸存者的社会心理康复铺平道路:从 Reddit 挖掘话题、情绪及其随时间变化的轨迹。
研究目的本研究利用 Reddit 数据的子类别研究了主要的主题和情绪及其随时间变化的轨迹和相互作用。目的是为心理康复决策提供帮助。材料与方法我们利用自然语言处理技术,包括主题建模和情感分析,对一个数据集进行了处理,该数据集由 38,000 多个主题、评论和帖子组成,这些主题、评论和帖子是从一个专门讨论 COVID-19 检测呈阳性者经历的子 Reddit 中收集的。在这项纵向探索性分析中,我们研究了 18 个月内最主要的话题与受试者情绪状态之间的动态关系。结果我们的研究结果突显了在大流行期间,COVID 幸存者所讨论的主要话题的文本和情感状态的演变。我们特别研究了疫苗接种前后两个时期,将其作为大流行时间轴上的一个转折点。研究结果表明,随着时间的推移,不仅话题的相关性会发生变化,而且与之相关的情感也会发生变化。重大社会事件,如疫苗接种或全国性政策的实施,也会通过社交媒体用户的讨论和询问反映出来。尤其是亲身经历过 COVID 的人的情绪状态(即情感和情感的极性)。讨论:有关 COVID-19 流行病的社会累积知识影响着人们讨论其经历、担忧和观点的模式。受试者对不同话题的情绪状态也受到疫苗接种等外在因素和事件的影响。结论本研究通过挖掘 COVID-19 幸存者在 Reddit 上互动的主要话题、情绪和轨迹,为有关 COVID-19 幸存者心理健康结果的新兴学术研究做出了贡献,并为 COVID-19 幸存者心理健康支持和康复服务的设计提供了启示。
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
Health Informatics Journal
Health Informatics Journal HEALTH CARE SCIENCES & SERVICES-MEDICAL INFORMATICS
CiteScore
7.80
自引率
6.70%
发文量
80
审稿时长
6 months
期刊介绍: Health Informatics Journal is an international peer-reviewed journal. All papers submitted to Health Informatics Journal are subject to peer review by members of a carefully appointed editorial board. The journal operates a conventional single-blind reviewing policy in which the reviewer’s name is always concealed from the submitting author.
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