Stay alert: Forecasting the risks of sexting in Korea using social big data

作者：

Highlights：

• The study employed the association analysis method of data mining and decision tree method by using social big data.

• The study performed data mining analyses on aid factors, content factors, and type factors of sexting.

• The study is meaningful in its novel research method to gather real content on the risks of sexting from social big data.

摘要

•The study employed the association analysis method of data mining and decision tree method by using social big data.•The study performed data mining analyses on aid factors, content factors, and type factors of sexting.•The study is meaningful in its novel research method to gather real content on the risks of sexting from social big data.

论文关键词：Social big data,Data mining,Youth sexting,South Korea,Trends and patterns

论文评审过程：Received 17 September 2017, Revised 3 November 2017, Accepted 21 December 2017, Available online 21 December 2017, Version of Record 27 December 2017.

论文官网地址：https://doi.org/10.1016/j.chb.2017.12.035