Kim Donghun, Jung Woojin, Nam Seojin, Jeon Hongjin, Baek Jihyun, Zhu Yongjun
Department of Library and Information Science, Sungkyunkwan University, Seoul, Republic of Korea.
Department of Psychiatry, School of Medicine, Sungkyunkwan University, Seoul, Republic of Korea.
Digit Health. 2022 Mar 21;8:20552076221086339. doi: 10.1177/20552076221086339. eCollection 2022 Jan-Dec.
Although there were few studies on how suicidal users behave on Twitter, they only investigated partial aspects such as tweeting frequency and tweet length. Therefore, we aim to understand the various information behavior of suicidal users in South Korea.
To achieve this goal, we annotated 20,000 tweets and identified 1097 tweets with the expression of suicidality (i.e. suicidal tweets) and 229 suicidal users (i.e. experimental group). Using the data, a user profile analysis, comparative analysis with control group, and tweets/hashtags analysis were performed.
Our results show that many suicidal users used suicide-related keywords in their user IDs, usernames, descriptions, and pinned tweets. We also found that, compared to the control group, the experimental group show different patterns of information behavior. The experimental group did not frequently use Twitter and, on average, wrote longer texts than the control group. A clear seasonal pattern was also identified in the experimental group's tweeting behavior. Frequently used keywords/hashtags were extracted from tweets written by the experimental group for the purpose of understanding their concerns and detecting more suicidal tweets.
We believe that our study will help in the understanding of suicidal users' information behavior on social media and lay the basis for more accurate actions for suicide prevention and early intervention on social media.
尽管关于有自杀倾向的用户在推特上的行为研究较少,但这些研究仅调查了诸如推文频率和推文长度等部分方面。因此,我们旨在了解韩国有自杀倾向的用户的各种信息行为。
为实现这一目标,我们对20000条推文进行了标注,识别出1097条带有自杀倾向表达的推文(即自杀推文)以及229名有自杀倾向的用户(即实验组)。利用这些数据,进行了用户画像分析、与对照组的对比分析以及推文/主题标签分析。
我们的结果表明,许多有自杀倾向的用户在其用户ID、用户名、描述和置顶推文中使用了与自杀相关的关键词。我们还发现,与对照组相比,实验组呈现出不同的信息行为模式。实验组不常使用推特,且平均而言,其撰写的文本比对照组更长。在实验组的推文行为中还发现了明显的季节性模式。从实验组撰写的推文中提取了常用关键词/主题标签,以了解他们的关注点并检测更多自杀推文。
我们相信,我们的研究将有助于理解有自杀倾向的用户在社交媒体上的信息行为,并为在社交媒体上更准确地开展自杀预防和早期干预行动奠定基础。