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Implementation
(in the early stages) of child pornography come together, 882 because they are still in a preliminary stage
of delinquent behaviour and would probably be receptive to therapy (see §3.4). 883 However, examples
of data maximisation in the field of child pornography are yet to be found. 884 These NGOs and organisations,
or the police, could also devise strategies in order to be able to monitor similar Internet environments
– such as newsgroups – and to interfere with them if necessary. 885
One of the focal points proposed above is that parties other than the police are able to fulfil an identifying
role for the purpose of criminal detection, which involves these parties being able to provide
the government with (digital) knowledge and resources. A strategy that links in with the focal point
stated above is to actively inform relevant actors about child pornography and to involve them in the
tackling of child pornography. The Internet community is already identifying material, offenders and
victims. 886 Use is already being made of citizen participation in tackling child pornography, but other
initiatives that actively involve public-private sector partnerships in the Internet community are yet to
be found. Crowd sourcing is an example of citizen participation, based on the assumption that a group
of people as a whole always know more than a few experts. 887 The development of a child pornography
barrier model is an example that would lend itself to crowd sourcing. Websites such as tweakers.net,
webwereld.nl and security.nl see hundreds of thousands of visitors from the Netherlands each day who
have a (professional) interest in topics related to ICT. 888 It is likely that innovative ideas will originate
from professions such as software developers, Internet entrepreneurs, online marketers, traffic brokers
and security officers. Problems that arise in criminal investigations involving child pornography could
be presented to the Internet community in an abstracted manner, in the same way in which cold cases
and ongoing cases are put online. 889
A subsequent potential strategy is to increase the personal responsibility of companies and the Internet
community, similar to the way in which the previously-mentioned Association of Sites Advocating <strong>Child</strong>
Protection is attempting to do so. The private sector is introducing new technologies to the public. How-
882 See also §3.6.3.2. The online subculture is an important component for people with a preferential or
exclusive predilection for children. These people come together to discuss their sexual preferences on
various open (Dutch-language) forums, see §1.4.2.
883 Taylor & Quayle, 2006, p.187.
884 Possibly that experiences gained from the entertainment industry with regard to preventing content
from similar Internet environments may be able to contribute, see www.newswise.com/articles/
view/504833/ (last viewed 25 May 2011).
885 See ‘Inhoud pagina: Kinderporno op anonieme, diep verborgen websites’[Content page: <strong>Child</strong> abuse material on
anonymous, well hidden websites], Public Prosecution Service, 31 August 2011, www.om.nl/actueel-0/
nieuws-persberichten/@156657/kinderporno-anonieme/ (viewed 8 September 2011).
886 In fact, the Hotline Combating <strong>Child</strong> <strong>Pornography</strong> on the Internet is receiving reports that way, see
§3.1.
887 Cornelissens & Ferweda, 2010, p.29.
888 The involvement of these ICT professionals in the combating of child pornography emerges, amongst
others, from responses that can be found on various websites for ICT experts, see for example www.
tweakers.net/nieuws/71304/hoofdverdachte-in-kinderpornozaak-zou-encryptie-expert-zijn.html
889 www.politieonderzoeken.nl, www.politie-rotterdam-rijnmond.nl/gezocht/cold-cases.aspx and www.
nationale-recherche.nl (viewed 30 May 2011).
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