TY  - RPRT
Y1  - 2011///
A1  - Paolucci, Mario
A1  - Picascia, Stefano
A1  - Quattrociocchi, Walter
N2  - In this paper, we describe a proposal for improving the practice of web-based collective filtering, in particular for what regards discussions and selection of issues about policy, based on the intuitive concept of causality. Causality, especially when presented in visual form, is especially suited to the task since it is intuitive to understand and to use, and at the same time, it's rich enough to create a semantic network between the representations of real world facts. We give some examples of the suggested system workflow and we present guidelines for its implementation.
VL  - doi:10.2139/ssrn.1846575
TI  - Causality in collective filtering
ID  - eprints2110
UR  - http://dx.doi.org/10.2139/ssrn.1846575
EP  - 12
PB  - SSRN
KW  - Causality
KW  -  Crowdsourcing 
AV  - public
M1  - working_paper
ER  -