2022
DOI: 10.1016/j.chb.2021.107099
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Predicting cyber offenders and victims and their offense and damage time from routine chat times and online social network activities

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Cited by 16 publications
(6 citation statements)
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“…https://lp.pigg-party.com/ 3. A previous study reported that there were at least 550 000 active players over a six-month period[32]. The authors excluded players who chatted with a specific user more than 100 times a day from their analysis 4.…”
mentioning
confidence: 99%
“…https://lp.pigg-party.com/ 3. A previous study reported that there were at least 550 000 active players over a six-month period[32]. The authors excluded players who chatted with a specific user more than 100 times a day from their analysis 4.…”
mentioning
confidence: 99%
“…(Un)accountability Routine chat and social network use times of perpetrators and victims can be used to predict the time and day of future perpetration/victimization (Yokotani & Takano, 2022).…”
Section: Perpetratormentioning
confidence: 99%
“…Various forms of intervention, such as involving synchronous communication, will need to be considered, although we considered the intervention to asynchronous communication in this study. The ratio of participants was tiny compared to the total number of active users (several hundred thousand active users of Pigparty over a six-month period [34]). Intervening with a more significant number of players or in density clusters may strengthen the ripple effect of the intervention.…”
Section: Limitations and Future Workmentioning
confidence: 99%