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Regulatory Measures to Support eDemocracy

Authors: Lasse Berntzen; Evika Karamagioli;

Regulatory Measures to Support eDemocracy

Abstract

Throughout the last decade, eDemocracy has evolved from an idea into practical applications supporting, and even enhancing, democratic processes. At the same time, it is a growing demand for regulatory frameworks to support eDemocracy. This paper examines the technical and political prerequisites for eDemocracy in an attempt to uncover possible areas for regulative measures. A model is used to show the internal relations between a set of technical and political prerequisites. This model can be used to plan regulatory measures related to eDemocracy on national, regional and local levels of government. The paper also introduces, through practical examples, three different approaches to regulation.

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    9
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Top 10%
Top 10%
Average
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