Designing a Fair Internet Regulation System

Designing a Fair Internet Regulation System

DOI: 10.4018/978-1-5225-9973-9.ch012
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Taking into consideration the IRSs, older surveys, and authors' surveys results discussed in previous chapters, this chapter presents a fair internet regulation system (FIRS) designed by the authors. Their aim is to be highly adaptable to each country's special political needs in order to be accepted by the general public. In that context, they propose that a blueprint should be used in the development of an effective, fast, and low cost system that will encourage internet users to participate in the whole procedure, giving them the opportunity to enrich and correct its “behaviour.” At the same time, the proposed FIRS has to be able to handle specific kinds of online illegal content with “discretion.”
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Firs Features And Organization

Taking into consideration the outcome of the survey, a regulation body must be chosen in order to analyse Internet users’ feedback and prepare the blocking lists of websites. Concerning Greece, survey’s results shown that general public is more willing to accept a combination of university-based institutes and non-governmental organisations as the regulation body.

Authors’ surveys (see chapters 5 to 11) and experts’ opinion (Keny, 2016) show a clear preference to non-governmentally controlled bodies in many countries.

Targeted Content and Categorisation

Another important aspect of a FIRS design is to define what illegal content to target. Child pornography seems to be a widely accepted option worldwide for a regulation (Hamade, 2008). Further expansion of the online content to be targeted must be done following independent evaluation per country.

The authors suggest in this chapter the categorisation of the targeted online content to a. unquestionable must-be-filtered content and b. contradictable must-be-filtered content. In the case of Greece it is obvious that child pornography falls into category a., whereas the rest categories would fall into category b. Therefore, two different lists are formed: Blacklist A (including unquestionable must-be-filtered content) and Blacklist B (including contradictable must-be-filtered content).

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