The Cybercrime Victim-Offender Overlap: Evaluating Predictors for Victims, Offenders, Victim-Offenders, and Those Who are Neither
Few studies have examined the victim-offender overlap in cybercrimes, especially using mutually exclusive groups: victims-only, offenders-only, victim-offenders, and those who are neither. The current study uses a sample of adults (N = 837) to evaluate the predictors of cybercrime victimization and...
| 1. VerfasserIn: | |
|---|---|
| Medienart: | Elektronisch Aufsatz |
| Sprache: | Englisch |
| Veröffentlicht: |
2025
|
| In: |
Victims & offenders
Jahr: 2025, Band: 20, Heft: 4, Seiten: 710-728 |
| Online-Zugang: |
Volltext (lizenzpflichtig) |
| Verfügbarkeit prüfen: | HBZ Gateway |
| Schlagwörter: |
MARC
| LEADER | 00000naa a22000002c 4500 | ||
|---|---|---|---|
| 001 | 1929300743 | ||
| 003 | DE-627 | ||
| 005 | 20250628054812.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 250628s2025 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1080/15564886.2022.2159598 |2 doi | |
| 035 | |a (DE-627)1929300743 | ||
| 035 | |a (DE-599)KXP1929300743 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 084 | |a 2,1 |2 ssgn | ||
| 100 | 1 | |a Burden, Makayla |e VerfasserIn |0 (orcid)0000-0002-6750-0769 |4 aut | |
| 245 | 1 | 4 | |a The Cybercrime Victim-Offender Overlap: Evaluating Predictors for Victims, Offenders, Victim-Offenders, and Those Who are Neither |
| 264 | 1 | |c 2025 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 520 | |a Few studies have examined the victim-offender overlap in cybercrimes, especially using mutually exclusive groups: victims-only, offenders-only, victim-offenders, and those who are neither. The current study uses a sample of adults (N = 837) to evaluate the predictors of cybercrime victimization and offending generally, as well as the group-specific differences and similarities. Cybercrime victimization significantly predicted offending and offending predicted victimization. Level of self-control, time spent participating in routine online activities, and demographic characteristics were significant predictors for both victimization and offending. Results showed that 40.5% of participants were victims-only, 20% offenders-only, and 16.6% were victim-offenders. Multinomial regression suggests there are significant differences and similarities between these groups. | ||
| 650 | 4 | |a routine online activities | |
| 650 | 4 | |a Self-control | |
| 650 | 4 | |a Victim-offender overlap | |
| 650 | 4 | |a Cybercrime | |
| 773 | 0 | 8 | |i Enthalten in |t Victims & offenders |d London [u.a.] : Taylor & Francis, 2006 |g 20(2025), 4, Seite 710-728 |h Online-Ressource |w (DE-627)512879672 |w (DE-600)2237556-9 |w (DE-576)272350850 |x 1556-4991 |7 nnas |
| 773 | 1 | 8 | |g volume:20 |g year:2025 |g number:4 |g pages:710-728 |
| 856 | 4 | 0 | |u https://doi.org/10.1080/15564886.2022.2159598 |x Resolving-System |z lizenzpflichtig |3 Volltext |
| 935 | |a mkri | ||
| 951 | |a AR | ||
| ELC | |a 1 | ||
| LOK | |0 000 xxxxxcx a22 zn 4500 | ||
| LOK | |0 001 473940513X | ||
| LOK | |0 003 DE-627 | ||
| LOK | |0 004 1929300743 | ||
| LOK | |0 005 20250628043607 | ||
| LOK | |0 008 250628||||||||||||||||ger||||||| | ||
| LOK | |0 035 |a (DE-2619)KrimDok#2025-06-27#DE1B80DBB8C9697FC9CEDFDF3B3916311633DEDF | ||
| LOK | |0 040 |a DE-2619 |c DE-627 |d DE-2619 | ||
| LOK | |0 092 |o n | ||
| LOK | |0 852 |a DE-2619 | ||
| LOK | |0 852 1 |9 00 | ||
| LOK | |0 935 |a zota | ||
| ORI | |a WA-MARC-krimdoka001.raw | ||
