Results 21 to 30 of about 57,777 (272)

Support, snacks, and a tailored approach to empower recovery: professionals’ insights on supporting children victimized by online child sexual abuse [PDF]

open access: yesFrontiers in Psychology
IntroductionEven though Online Child Sexual Abuse (OCSA) has become a recognized phenomenon, there are still extensive gaps in knowledge and understanding of the implications of OCSA.
Anette Birgersson, Linda S. Jonsson
doaj   +2 more sources

Child Sexual Abuse Material facilitated by Artificial Intelligence

open access: yesEthAIca
The present study aimed to analyze how artificial intelligence can facilitate the production and distribution of child sexual abuse material. The scope of the study was descriptive, adopting a qualitative approach, and the research design was non-experimental cross- sectional.
Antonella Petrini, María Belén Gauna
openaire   +2 more sources

Propagation of AI-generated child sexual abuse material as a cybercrime commodity in Indonesia

open access: yesOñati Socio-Legal Series
Artificial Intelligence (AI) and Cryptocurrency are increasingly exploited to facilitate cyber child sexual abuse material (CSAM), creating an illicit ecosystem of “pseudo-pornography”. Defined as entirely synthetic, AI-manipulated visual representations,
Ahmad Jamaludin   +5 more
doaj   +2 more sources

Single-exposure messages for child sexual abuse prevention: a randomized controlled online trial testing educational and humanizing approaches [PDF]

open access: yesBMC Psychology
Background Child sexual abuse and exploitation, including online material depicting such acts, constitute a major public health concern. Prevention efforts likely benefit from public understanding and destigmatization, yet communication strategies on ...
Viola Westfal, Maximilian von Heyden
doaj   +2 more sources

Early exposure to child sexual abuse material: Prevalence, circumstances and psychosocial functioning

open access: yesChild Abuse & Neglect
BACKGROUND The proliferation of Child Sexual Abuse Material (CSAM) on digital platforms poses a critical challenge for online safety, especially for children.
Tess Dieseth   +4 more
openaire   +2 more sources

Metadata-Based Detection of Child Sexual Abuse Material

open access: yesIEEE Transactions on Dependable and Secure Computing, 2020
Child Sexual Abuse Media (CSAM) is any visual record of a sexually-explicit activity involving minors. CSAM impacts victims differently from the actual abuse because the distribution never ends, and images are permanent. Machine learning-based solutions can help law enforcement quickly identify CSAM and block digital distribution.
Mayana Pereira   +3 more
  +6 more sources

Investigation, Detection and Prevention of Online Child Sexual Abuse Materials: A Comprehensive Survey [PDF]

open access: yes2022 RIVF International Conference on Computing and Communication Technologies (RIVF), 2022
Child sexual abuse inflicts lifelong devastating consequences for victims and is an ongoing social concern. In most countries, child sexual abuse material (CSAM) distribution is illegal. As a result, there are many research papers in the literature which proposed technologies to detect and investigate CSAM. In this survey, a comprehensive search of the
Vuong M. Ngo   +3 more
openaire   +2 more sources

Characteristics of the Users of Troubled Desire, a Web-Based Self-management App for Individuals With Sexual Interest in Children: Descriptive Analysis of Self-assessment Data

open access: yesJMIR Mental Health, 2021
BackgroundDespite the high prevalence of child sexual offenses and the increasing amounts of available child sexual abuse material, there is a global shortage of preventive interventions focusing on individuals at risk of sexual offending.
Schuler, Miriam   +4 more
doaj   +1 more source

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