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首页> 外文期刊>Biomedical Informatics Insights >Accommodating Grief on Twitter: An Analysis of Expressions of Grief Among Gang Involved Youth on Twitter Using Qualitative Analysis and Natural Language Processing:
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Accommodating Grief on Twitter: An Analysis of Expressions of Grief Among Gang Involved Youth on Twitter Using Qualitative Analysis and Natural Language Processing:

机译:应对Twitter上的悲伤:使用定性分析和自然语言处理方法,分析Twitter上与帮派有关的年轻人的悲伤表达:

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There is a dearth of research investigating youths’ experience of grief and mourning after the death of close friends or family. Even less research has explored the question of how youth use social media sites to engage in the grieving process. This study employs qualitative analysis and natural language processing to examine tweets that follow 2 deaths. First, we conducted a close textual read on a sample of tweets by Gakirah Barnes, a gang-involved teenaged girl in Chicago, and members of her Twitter network, over a 19-day period in 2014 during which 2 significant deaths occurred: that of Raason “Lil B” Shaw and Gakirah’s own death. We leverage the grief literature to understand the way Gakirah and her peers express thoughts, feelings, and behaviors at the time of these deaths. We also present and explain the rich and complex style of online communication among gang-involved youth, one that has been overlooked in prior research. Next, we overview the natural language processing output for expressions of loss and grief in our data set based on qualitative findings and present an error analysis on its output for grief. We conclude with a call for interdisciplinary research that analyzes online and offline behaviors to help understand physical and emotional violence and other problematic behaviors prevalent among marginalized communities.
机译:缺乏研究来调查年轻人在亲密朋友或家人去世后的悲伤和哀悼经历。更少的研究探索了青年如何使用社交媒体网站参与悲伤过程的问题。这项研究采用定性分析和自然语言处理技术来检查2例死亡后的推文。首先,我们在2014年的19天期间,对芝加哥的一个与黑帮有关的少女Gakirah Barnes和她的Twitter网络的成员进行的推文样本进行了仔细的文字阅读,在此期间有2例重大死亡: Raason“ Lil B” Shaw和Gakirah的死亡。我们利用悲伤的文学作品来了解加基拉(Gakirah)和她的同龄人在这些死亡时表达思想,感受和行为的方式。我们还将介绍并解释涉嫌团伙的年轻人之间丰富而复杂的在线交流方式,这种方式在先前的研究中被忽略了。接下来,我们基于定性结果概述数据集中自然语言处理输出的损失和悲伤表达,并针对其悲伤输出给出错误分析。最后,我们呼吁进行跨学科研究,分析在线和离线行为,以帮助了解边缘化社区中普遍存在的身体和情感暴力以及其他问题行为。

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