Developing a social sensing index for monitoring place-oriented mental health issues using social media (twitter) data
Developing a social sensing index for monitoring place-oriented mental health issues using social media (twitter) data
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DOI：
10.1007/s44212-023-00033-5
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发表时间：
2024-01
期刊：
影响因子：
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通讯作者：
Jaehee Park;Ming-Hsiang Tsou;A. Nara;Susan Cassels;Somayeh Dodge
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文献类型：
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作者：
Jaehee Park;Ming-Hsiang Tsou;A. Nara;Susan Cassels;Somayeh Dodge
研究表明，某些外部因素会影响社区中许多人的心理健康。此外，由于COVID-19疫情，近年来心理健康的重要性显著增加。许多人通过社交媒体平台交流和表达他们的情绪，这为研究人员提供了研究他们的观点和精神状态的机会。虽然使用社交媒体数据的社会感知研究在过去十年中蓬勃发展，但许多使用社交媒体数据检测和预测心理健康状况的研究都集中在个人层面。在这项研究中，我们的目标是产生一个社会感知指数的心理健康，以监测情绪幸福感，这是密切相关的心理健康，并确定日常趋势的负面情绪在城市一级。我们对Twitter数据进行情感分析，并计算情感变化程度的熵来开发该指数。我们观察到情绪趋势会因异常事件而大幅波动。研究发现，心理健康的社会感知指数反映了引发负面情绪的城市范围和当地事件，以及负面情绪持续存在的地区。这项研究有助于越来越多的研究，使用社交媒体数据来检查城市一级的心理健康。我们专注于城市层面的心理健康，而不是个人，这为人口的心理健康提供了更广阔的视角。心理健康的社会感知指数使公共卫生专业人员能够监测和识别持续的负面情绪和可能出现心理健康问题的潜在领域。
Research shows that certain external factors can affect the mental health of many people in a community. Moreover, the importance of mental health has significantly increased in recent years due to the COVID-19 pandemic. Many people communicate and express their emotions through social media platforms, which provide researchers with opportunities to examine insights into their opinions and mental state. While social sensing studies using social media data have flourished in the last decade, many studies using social media data to detect and predict mental health status have focused on the individual level. In this study, we aim to generate a social sensing index for mental health to monitor emotional well-being, which is closely related to mental health, and to identify daily trends in negative emotions at the city level. We conduct sentiment analysis on Twitter data and compute entropy of the degree of sentiment change to develop the index. We observe sentiment trends fluctuate significantly in response to unusual events. It is found that the social sensing index for mental health reflects both city-wide and local events that trigger negative emotions, as well as areas where negative emotions persist. The study contributes to the growing body of research that uses social media data to examine mental health at a city-level. We focus on mental health at the city-level rather than individual, which provides a broader perspective on the mental health of a population. Social sensing index for mental health allows public health professionals to monitor and identify persistent negative sentiments and potential areas where mental health issues may emerge.