Zhou Sicheng, Bian Jiang, Zhao Yunpeng, Haynos Ann F, Rizvi Rubina, Zhang Rui
Institute for Health Informatics, University of Minnesota, Minneapolis, MN, USA.
Department of Health Outcomes & Biomedical Informatics, University of Florida, Gainsville, FL, USA.
Proc (IEEE Int Conf Healthc Inform). 2019 Jun;2019. doi: 10.1109/ichi.2019.8904863. Epub 2019 Nov 21.
Eating disorders (EDs) are serious mental illnesses associated with physical and psychiatric problems, and premature death. Examining social media communication about ED symptoms may provide insight into how to prevent and treat these disorders. This study is to explore topics on Twitter related to EDs. We applied the Correlation Explanation (CorEx) topic model on 18,288 ED-related tweets and identified 20 topics, which were further grouped into 8 categories. The top two topic categories are body image and ED consequences. We manually evaluated the relevance of tweets to their assigned topics and average accuracy is 77.86%. Our findings are consistent with another study using content analysis, and we identified additional topics, such as ED consequences, pornography, and treatment and education from these tweets.
饮食失调是与身体和精神问题以及过早死亡相关的严重精神疾病。研究社交媒体上有关饮食失调症状的交流,可能会为如何预防和治疗这些疾病提供见解。本研究旨在探索推特上与饮食失调相关的话题。我们将相关解释(CorEx)主题模型应用于18288条与饮食失调相关的推文,并识别出20个主题,这些主题进一步被归为8类。前两个主题类别是身体形象和饮食失调的后果。我们人工评估了推文与所分配主题的相关性,平均准确率为77.86%。我们的研究结果与另一项使用内容分析的研究一致,并且我们从这些推文中识别出了其他主题,如饮食失调的后果、色情内容以及治疗和教育。
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