Predicting cyber offenders and victims and their offense and damage time from routine chat times and online social network activities

作者：

Highlights：

• We tracked more than 550,000 online Pigg Party users for 6 months.

• Our predictors identified future cyber offenders and victims within 2 months.

• We predicted the hours and days of their offenses and damages within a week.

• Chat data were useful for extracting routine chat times and online social networks.

• Routine chat times were useful for predicting future offense and damage times.

摘要

•We tracked more than 550,000 online Pigg Party users for 6 months.•Our predictors identified future cyber offenders and victims within 2 months.•We predicted the hours and days of their offenses and damages within a week.•Chat data were useful for extracting routine chat times and online social networks.•Routine chat times were useful for predicting future offense and damage times.

论文关键词：Predicting offense and damage time,Cyber offenders and victims,Routine activity theory,Social contagion,Anomaly detection

论文评审过程：Received 18 April 2021, Revised 10 November 2021, Accepted 14 November 2021, Available online 15 November 2021, Version of Record 23 December 2021.

论文官网地址：https://doi.org/10.1016/j.chb.2021.107099