Cybercrime detection in online communications: The experimental case of cyberbullying detection in the Twitter network

作者：

Highlights：

• We propose a set of unique features based on tweets information to detect cyberbullying.

• Machine learning model based on the proposed features is developed.

• The developed model is effective in detecting cyberbullying in the Twitter network.

摘要

•We propose a set of unique features based on tweets information to detect cyberbullying.•Machine learning model based on the proposed features is developed.•The developed model is effective in detecting cyberbullying in the Twitter network.

论文关键词：Online social networks,Cybercrime,Cyberbullying,Machine learning,Online communication,Twitter

论文评审过程：Received 17 February 2016, Revised 11 May 2016, Accepted 17 May 2016, Available online 31 May 2016, Version of Record 31 May 2016.

论文官网地址：https://doi.org/10.1016/j.chb.2016.05.051