Skip to main navigation Skip to search Skip to main content

Crowdsourcing to Tackle Online Child Sexual Exploitation

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

This chapter examines the crowdsourcing model of Europol’s ‘Stop Child Abuse—Trace an Object’ (SCATO) platform on collecting tips provided by the public to tackle online child sexual exploitation. The chapter investigates the effectiveness of the platform with the most prominent sharing economy/crowdsourcing variables; low barrier accessibility, transaction cost and trust-building. Based on Europol documents and semi-structured elite interviews, the chapter’s core argument is that the SCATO provides a low barrier entry for the crowd to share tips with LEAs. However, to reduce the transaction cost of intelligence gathering, the item pictures shared on the platform should stimulate high-value reporting without compromising the victim’s anonymity. The platform also needs a clear guideline and feedback mechanism to encourage more public contribution.
Original languageEnglish
Title of host publicationThe Sharing Economy for Tackling Cybercrime
PublisherSpringer Nature
Pages69-83
Number of pages15
ISBN (Electronic)978-3-031-20274-2
ISBN (Print)978-3-031-20273-5 , 978-3-031-20276-6
DOIs
Publication statusPublished - 2 Jan 2023

Publication series

NameAdvanced Sciences and Technologies for Security Applications
Name
PublisherSpringer Nature
ISSN (Print)1613-5113
ISSN (Electronic)2363-9466

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 16 - Peace, Justice and Strong Institutions
    SDG 16 Peace, Justice and Strong Institutions

Keywords

  • Crowdsourcing
  • Cybercrime
  • Europol
  • Online child sexual exploitation material
  • Public–private partnership

Fingerprint

Dive into the research topics of 'Crowdsourcing to Tackle Online Child Sexual Exploitation'. Together they form a unique fingerprint.

Cite this