Cited by 8Cybercrime and Law Enforcement StudiesBullying, Victimization, and AggressionImpact of Technology on Adolescents

Retos forenses ante la cibercriminalidad social en menores

Gassó, Aina M., Fernández-Cruz, Victòria, Montiel, Irene, Martin-Fumadó, Carles, Agustina, José R.·2019·Revista Española de Medicina Legal

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Registry

Crossref · 10.1016/j.reml.2018.11.003

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2 of 2 references verified0 citation errors · 0 not checkable

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  • These results are in line with previous studies that indicate that the higher levels of physical attractiveness are associated with increased incidence of sexting.

    “These results are in line with previous studies that indicate that the higher levels of physical attractiveness are associated with increased incidence of sexting (Gassó et al., 2019).”

    From Risk factors for being a victim of online grooming in adolescents (2020) · cites this paper as Gassó et al., 2019

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Authors
Gassó, A. M., Fernández-Cruz, V., Montiel, I., Martin-Fumadó, C., & Agustina, J. R.
Affiliations
Universitat Internacional de Catalunya (ES)
Corresponding author
Agustina, José R.
Venue
Revista Española de Medicina Legal
Publisher
Elsevier BV
Published
2019-04
Volume
45
Issue
2
Pages
73-76
ISSN
0377-4732 (ISSN-L)
OpenAlex
W2905504268
Cited by
8
References
2
Citations by year
2022: 2 · 2021: 4 · 2019: 2
FWCI
2.42
Type
journal article
Language
es
Open access
closed
Locations
Revista Española de Medicina Legal (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Information Systems › Cybercrime and Law Enforcement Studies
  • Social Sciences › Psychology › Social Psychology › Bullying, Victimization, and Aggression
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
Keywords
cyberbullying, sexting, online grooming, cybercrime, forensic challenges, minors, adolescents, psychopathological consequences, victimology, criminal profiling, information and communication technologies

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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