Communities and Technologies 2007 2007
DOI: 10.1007/978-1-84628-905-7_20
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Enriching Community Networks by Supporting Deliberation

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Cited by 5 publications
(15 citation statements)
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“…Interestingly, our participants even compared our platform to Wikipedia, as they expected it to work in the same way (as presented in Section 7.1.2). However, we observed that the participants used the system primarily to vote on and evaluate the last few submissions, rather than to compose continuous interpretations -a phenomenon also observed when the openDCN was used in Milan to foster public discussions and a sense of community [27]. However, we argue that this process of participation is key to achieving one contextual consensus of the submitted interpretations, leading to one final written interpretation emerging from applying the human-based genetic algorithm.…”
Section: The Design Of Future E-deliberation Platformsmentioning
confidence: 65%
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“…Interestingly, our participants even compared our platform to Wikipedia, as they expected it to work in the same way (as presented in Section 7.1.2). However, we observed that the participants used the system primarily to vote on and evaluate the last few submissions, rather than to compose continuous interpretations -a phenomenon also observed when the openDCN was used in Milan to foster public discussions and a sense of community [27]. However, we argue that this process of participation is key to achieving one contextual consensus of the submitted interpretations, leading to one final written interpretation emerging from applying the human-based genetic algorithm.…”
Section: The Design Of Future E-deliberation Platformsmentioning
confidence: 65%
“…This evaluation is then used by the e-Deliberation platform to assess the fitness of each existing solution and to decide which solutions are to be discarded and which are kept and highlighted. The surviving solutions are then fed back to the participants, with the instruction to produce new solutions by mutating those presented [27]. In our case, the algorithm allowed the participants to tackle open questions and to collaboratively draft an art interpretation by having each of them propose one interpretation and then evaluate those of the others.…”
Section: The Concept Of Using the Human-based Genetic Algorithm To Fimentioning
confidence: 99%
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