TY  - RPRT
EP  - 12
ID  - eprints2110
VL  - doi:10.2139/ssrn.1846575
UR  - http://dx.doi.org/10.2139/ssrn.1846575
TI  - Causality in collective filtering
AV  - public
Y1  - 2011///
KW  - Causality
KW  -  Crowdsourcing 
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.
M1  - working_paper
A1  - Paolucci, Mario
A1  - Picascia, Stefano
A1  - Quattrociocchi, Walter
PB  - SSRN
ER  -