在Twitter上容纳悲伤:基于定性分析和自然语言处理的帮派青年在Twitter上的悲伤表达分析

Biomedical informatics insights Pub Date : 2018-04-03 eCollection Date: 2018-01-01 DOI:10.1177/1178222618763155
Desmond Upton Patton, Jamie MacBeth, Sarita Schoenebeck, Katherine Shear, Kathleen McKeown
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引用次数: 26

摘要

关于年轻人在亲密的朋友或家人去世后的悲伤和哀悼经历的研究很少。甚至更少的研究探讨了年轻人如何使用社交媒体网站参与悲伤过程的问题。本研究采用定性分析和自然语言处理来检查2例死亡后的推文。首先,我们对Gakirah Barnes(芝加哥一名参与帮派的少女)及其Twitter网络成员在2014年19天内发布的推文样本进行了仔细的文本阅读,在此期间发生了两起重大死亡事件:Raason“Lil B”Shaw和Gakirah自己的死亡。我们利用悲伤文学来理解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。我们也提出并解释了帮派青年之间丰富而复杂的在线交流方式,这在以前的研究中被忽视了。接下来,我们概述了基于定性发现的数据集中自然语言处理对损失和悲伤表达的输出,并对其对悲伤的输出进行了错误分析。最后,我们呼吁进行跨学科研究,分析在线和离线行为,以帮助理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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Accommodating Grief on Twitter: An Analysis of Expressions of Grief Among Gang Involved Youth on Twitter Using Qualitative Analysis and Natural Language Processing.

Accommodating Grief on Twitter: An Analysis of Expressions of Grief Among Gang Involved Youth on Twitter Using Qualitative Analysis and Natural Language Processing.

Accommodating Grief on Twitter: An Analysis of Expressions of Grief Among Gang Involved Youth on Twitter Using Qualitative Analysis and Natural Language Processing.

Accommodating Grief on Twitter: An Analysis of Expressions of Grief Among Gang Involved Youth on Twitter Using Qualitative Analysis and Natural Language Processing.

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.

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