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Journal Article

Citation

Kim H, Han Y, Song J, Song TM. Int. J. Environ. Res. Public Health 2019; 16(14): e16142596.

Affiliation

Department of Health Management, Sahmyook University, Seoul 01795, Korea.

Copyright

(Copyright © 2019, MDPI: Multidisciplinary Digital Publishing Institute)

DOI

10.3390/ijerph16142596

PMID

31330879

Abstract

As the contemporary phenomenon of school bullying has become more widespread, diverse, and frequent among adolescents in Korea, social big data may offer a new methodological paradigm for understanding the trends of school bullying in the digital era. This study identified Term Frequency-Inverse Document Frequency (TF-IDF) and Future Signals of 177 school bullying forms to understand the current and future bullying experiences of adolescents from 436,508 web documents collected between 1 January 2013, and 31 December 2017. In social big data, sexual bullying rapidly increased, and physical and cyber bullying had high frequency with a high rate of growth. School bullying forms, such as "group assault" and "sexual harassment", appeared as Weak Signals, and "cyber bullying" was a Strong Signal.

FINDINGS considering five school bullying forms (verbal, physical, relational, sexual, and cyber bullying) are valuable for developing insights into the burgeoning phenomenon of school bullying.


Language: en

Keywords

Future Signals; South Korea; TF-IDF; school bullying forms; social big data

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