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Changes in adolescents’ and young adults’ self-injury behaviorbefore, during, and after COVID-19: A text-mining approach

Abstract

As COVID-19 increased isolation and hopelessness among adolescents and young adults at risk of self-injury, online posts about self-injury-related thoughts and episodes increased exponentially. To understand the self-injury experiences, backgrounds, and related issues during the COVID-19 pandemic era, this study analyzed online posts about self-injury from 2019 to June 2024. Based on raw data from 17,649 posts, results from text-mining analyses, including topic modeling. supported hypotheses referencing the emotional cascade model. Topics identified from before, during, and after the COVID-19 periods showed differences, with topics during COVID-19 reflecting more severe self-injury than before. As proposed by the emotional cascade model, topics about the consequences of severe self-injury persisted after the end of COVID-19, indicating that ongoing support is needed to aid youths’ recovery. Suggestions for counselors and socio-institutional resources are discussed.

keywords
COVID-19, self-injury, online self-disclosure, text-mining, topic modeling
Received
2024-08-12
Revised
2024-09-10
Accepted
2024-09-19
Published
2024-11-30

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