Analyzing Events’ Impacts on Mental Health Using Tweets

Sudha Tushara Sadasivuni, Yanqing Zhang
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Abstract

Traumatic events like cyclones, bomb blasts, and earthquakes impact people's mental health, and relevant Information reflects in tweet texts. Researchers developed event detection models and mental health assessment systems separately. Little research was focused on analyzing various events’ impacts on mental health via social media. To evaluate the effect of events on mental health, we use the area under the curve (AUC) method to mine the tweets. The AUC method makes numerical estimation under normal conditions, before, during, and after an event. We collected 90,649 tweets during the three events (Sri Lanka Bomb blasts, Burevi Cyclone, and Tauktae Cyclone) in 2019, 2020, and 2021 and computed the events’ impacts on relevant people’s mental health using the AUC method. The new results matched with the event reports by other sources. The AUC method is useful for planning and executing disaster preparedness and emergency teams.
使用推特分析事件对心理健康的影响
飓风、炸弹爆炸和地震等创伤性事件会影响人们的心理健康,相关信息会反映在推特文本中。研究人员分别开发了事件检测模型和心理健康评估系统。很少有研究集中分析各种事件通过社交媒体对心理健康的影响。为了评估事件对心理健康的影响,我们使用曲线下面积(AUC)方法来挖掘推文。AUC方法在正常情况下、事件发生前、事件发生时和事件发生后进行数值估计。我们收集了2019年、2020年和2021年三个事件(斯里兰卡炸弹爆炸、Burevi气旋和taktae气旋)期间的90,649条推文,并使用AUC方法计算了这些事件对相关人群心理健康的影响。新的结果与其他来源的事件报告相匹配。AUC方法有助于规划和执行备灾和应急小组。
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