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From social media to artificial intelligence: tactics used to lure and exploit victims of child trafficking and for curbing child trafficking in Kenya

Identification

Public canonical key
doi:10.1080/23311886.2026.2735543
Authors
Aggrey Willis Otieno
Reported year
2026
Reported language
en
Source type
article
First detected
2026-11-09T19:04:47.757775+00:00
Last metadata observation
2026-11-09T19:04:47.757775+00:00
Last HTTP verification
Not checked

Institutions reported by the source

Utah State University

Reported affiliation countries

US

Documentary abstract — original language

Child trafficking is increasingly mediated through social media, artificial intelligence (AI) and other digital technologies, creating new opportunities for exploitation while strengthening digital prevention and protection. This study examines how digital platforms both facilitate and disrupt technology-enabled child trafficking in Kenya through a digital ethnography that combines social media observations, stakeholder interviews, focus group discussions and analysis of online anti-trafficking discourse. Guided by the Routine Activity and Situational Prevention (RASP) framework, the study investigates how digital opportunity structures shape offender behavior, target vulnerability and distributed digital guardianship. Findings show that traffickers exploit encrypted messaging, algorithmic recommendation systems, livestreaming, closed online communities and digital payment technologies to recruit, groom, coordinate and exploit children while reducing the perceived risk of detection. At the same time, government agencies, law enforcement, civil society organizations, technology companies and community actors employ artificial intelligence, digital evidence preservation, coordinated reporting systems, cross-sector partnerships and the Child Protection Information Management System (CPIMS) to strengthen detection, reporting, victim protection and institutional coordination. The study further demonstrates that anti-child trafficking communication is most effective when it transforms awareness into recognizable risk patterns, actionable reporting pathways, evidence preservation and coordinated institutional responses. The findings extend the RASP framework by conceptualizing the 5 P dimensions (Prevention, Protection, Policy, Prosecution and Partnership) as communication dimensions that operationalize digital guardianship within technology-enabled environments. The study contributes to digital criminology, communication, child protection, platform governance and technology-enabled crime prevention, particularly in the Global South.

Identifiers

OPENALEX
W7220865044
DOI
10.1080/23311886.2026.2735543

Documentary context

Documentary family
Scholarship
Source-reported types
article
Jurisdictions studied — explicit sources
KE

Entity mentions are not evidence of legal recognition. Jurisdiction studied is separate from author affiliation country.

Sources

OpenAlex · Record 1 · Record 2

Documented bibliographic relations

Source-declared references and links; they do not establish legal support or UGLC qualification. Up to 20 outgoing references are displayed.

  • openalex:w1979290264 · CITES
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  • openalex:w2052475273 · CITES
  • openalex:w2071185162 · CITES
  • openalex:w2138739640 · CITES
  • openalex:w2168979397 · CITES
  • openalex:w2282632211 · CITES
  • openalex:w2320736810 · CITES
  • openalex:w2344234841 · CITES
  • openalex:w2394780503 · CITES
  • openalex:w2739616728 · CITES
  • openalex:w2770489151 · CITES
  • openalex:w2806925172 · CITES
  • openalex:w2950504429 · CITES
  • openalex:w2962844815 · CITES
  • openalex:w2973065356 · CITES
  • openalex:w3024086275 · CITES
  • openalex:w3037098144 · CITES
  • openalex:w3043489973 · CITES
  • openalex:w3122133997 · CITES

0 incoming references within the detected corpus

Documentary field provenance

Source-backed values and values with unresolved provenance are kept separately. Bibliographic provenance validates no legal claim.

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Publication
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Authors
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Document type
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Jurisdiction
Studied subject derived from explicit documentary context
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Cite this reference

Aggrey Willis Otieno. From social media to artificial intelligence: tactics used to lure and exploit victims of child trafficking and for curbing child trafficking in Kenya. 2026. https://doi.org/10.1080/23311886.2026.2735543

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APA, Chicago, ISO 690: bibliographic formats using available fields. OSCOLA / Bluebook: structured data only; full legal citation compliance is not claimed without verification of required elements.

APA
Aggrey Willis Otieno. (2026). From social media to artificial intelligence: tactics used to lure and exploit victims of child trafficking and for curbing child trafficking in Kenya. https://doi.org/10.1080/23311886.2026.2735543
Chicago
Aggrey Willis Otieno. From social media to artificial intelligence: tactics used to lure and exploit victims of child trafficking and for curbing child trafficking in Kenya. 2026. https://doi.org/10.1080/23311886.2026.2735543
ISO 690
Aggrey Willis Otieno. From social media to artificial intelligence: tactics used to lure and exploit victims of child trafficking and for curbing child trafficking in Kenya. 2026. https://doi.org/10.1080/23311886.2026.2735543

UDTR Global Rights of Nature Legal Library. From social media to artificial intelligence: tactics used to lure and exploit victims of child trafficking and for curbing child trafficking in Kenya. Documentary record: https://www.declarationuniverselledesdroitsdelarbre.org/global-rights-of-nature-radar/reference/r-4a4c4c3fce03ead96b7c9f59db71fad2/ · Last HTTP verification: not performed

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Field provenance and record version

Version 403890e2d2f3c96f · udtr-reference-1.1.2

Title
OpenAlex · source · 2026-11-09T19:04:47.757775+00:00
Authors
OpenAlex · source · 2026-11-09T19:04:47.757775+00:00
Year
OpenAlex · source · 2026-11-09T19:04:47.757775+00:00
Identifiers
OpenAlex · source · 2026-11-09T19:04:47.757775+00:00
Source URL
OpenAlex · source · 2026-11-09T19:04:47.757775+00:00

History tracks record metadata and does not certify the state of the law.

394ea87b88e9d98a · 2026-11-09T19:04:47.757775+00:00

30ef171e3344c7d3 · 2026-11-09T19:04:47.757775+00:00

cd7ca338b6d7644a · 2026-11-09T19:04:47.757775+00:00

403890e2d2f3c96f · 2026-11-09T19:04:47.757775+00:00

Frozen-version metadata

Research dossiers and documentary relations

KE ·

Utah State University

Aggrey Willis Otieno

Source roles

Discovery source · https://doi.org/10.1080/23311886.2026.2735543

Discovery source · https://openalex.org/W7220865044

An authority link alone does not verify a legal claim. Abstracts and full texts remain subject to their source terms.

Documentary status

Relevance pending

Library

This identity is not yet included in the Legal Library.

UDTR Global Rights of Nature Legal Library