• Title/Summary/Keyword: Self-Hharm

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Analysis of Twitter Post with 'Self-Iinjury' and 'Ssuicide' Using Text Mining (텍스트 마이닝기법을 활용한 '자해' 및 '자살' 관련 트위터 게시물 분석)

  • Yuri Lee;Hoin Kwon
    • Korean Journal of Culture and Social Issue
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    • v.29 no.1
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    • pp.147-170
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    • 2023
  • This study explored keywords and key topics by collecting posts related to 'self-Iinjury' and 'suicide' through Twitter. The study subjects were selected as posts containing related hashtags related to self-injury and suicide from October 29, 2019 to November 30, 2020. Text mining based on collected posts resulted in a total of 11 key topics: -6 related to 'self-Iinjury' and 5 related to 'suicide'. The main message in the topic is as follows. First, looking at the main messages contained in the topic, they honestly expressed self-harm and suicide experiences that are difficult to express offline online, and used SNS as a channelpath for requesting help requests. Second, there were common and discriminatory characteristics in posts related to 'self-Iinjury' and 'suicide'. Although topics related to 'self-Iinjury' mainly revealed emotional control and interpersonal functions of self-harm, messages related to 'suicide' showed more clearly messages about suicide prevention addressing and social problems. These results are meaningful in that they can understand the opinions of people who have experienced self-harm and suicide accidents and the public voice on self-harm and suicide-related issues could be better understood, and that this study seeks for effective self-harm and suicide prevention and intervention measures for self-harm and suicide issues.