论文标题
从社会媒体帖子中确定与大流行有关的压力因素 - 对学生和年轻人的影响
Identifying pandemic-related stress factors from social-media posts -- effects on students and young-adults
论文作者
论文摘要
COVID-19大流行使全球范围内的自然生命脱颖而出。采取了严格的措施来遏制引起该病毒的病毒的传播，其中最有效的是社会隔离。这导致了整个社会的广泛忧郁和沮丧，但在年轻人和老年人中更是如此。目前，全球186个国家 /地区有超过2亿个大学生，由于大流行而受到影响。随着电子学习的快速改编，教育方式突然发生了变化，从而在数字平台上进行了教学。这项研究介绍了从社交媒体帖子中收集的见解，这些帖子是由学生和年轻人在Covid时期发布的。使用统计和NLP技术，我们分析了用户自己在与Reddit有关的抑郁症相关社区中的帖子中报告的行为问题。我们提出了使用语言技术系统地分析内容的方法，以找出引起压力的因素。在线教育，失去工作，与朋友隔离以及虐待家庭成为关键压力因素。
The COVID-19 pandemic has thrown natural life out of gear across the globe. Strict measures are deployed to curb the spread of the virus that is causing it, and the most effective of them have been social isolation. This has led to wide-spread gloom and depression across society but more so among the young and the elderly. There are currently more than 200 million college students in 186 countries worldwide, affected due to the pandemic. The mode of education has changed suddenly, with the rapid adaptation of e-learning, whereby teaching is undertaken remotely and on digital platforms. This study presents insights gathered from social media posts that were posted by students and young adults during the COVID times. Using statistical and NLP techniques, we analyzed the behavioral issues reported by users themselves in their posts in depression-related communities on Reddit. We present methodologies to systematically analyze content using linguistic techniques to find out the stress-inducing factors. Online education, losing jobs, isolation from friends, and abusive families emerge as key stress factors.
