The Analysis of Risk Factors of Suicide Among Korean Adolescents by Using Social Big Data

• In Event: Innovations in Data Use to Expand Knowledge on Juvneile Delinquency and Violence

Abstract

To investigate online search activity of suicide-related words in South Korean adolescents through data mining of social media Web sites as the suicide rate in South Korea is one of the highest in the world. Out of more than 2.35 billion posts for 2 years on 163 social media Web sites in South Korea, 99,693 suicide-related documents were retrieved by Crawler and analyzed using text mining and opinion mining. These data were further combined with monthly employment rate, monthly rental prices index, monthly youth suicide rate, and monthly number of reported bully victims to fit multilevel models as well as structural equation models. Policy implications based on the finding will be discussed.

Authors

• Juyoung Song, Penn State University

• Taemin Song, KIHASA