Aggregate the opinions issued in a debate
Currently, debates allow participants to post comments/arguments in favour or against a proposal, and they can also express if they agree or disagree with the arguments issued by others. However, this information is not aggregated, and thus, it can be difficult to asses the debate results (that is, if the proposal should be accepted or rejected).
It would be really useful to aggregate all the opinions issued in a debate so that the result becomes apparent. The attached images illustrate this idea (thumbs up/down are just to illustrate the idea, proper design would be required).
This aggregated opinion would help to increase the quality of the debate (an thus, of the democratic process it represents), and may incentivise participants to pose their opinions.
The Barcelona City Council has funded several research projects for applying Artificial Intelligence techniques to solve this problem. Along these projects, several aggregation methods have been proposed but not yet added as functionalities to Decidim. These methods go beyond the simple idea of considering the proportion of comments in favour or comments against the proposal because, as shown in the attached images, some arguments may be stronger than others (that is, more people agree with them).
These projects have provided the code for the aggregation computation as open source, but it needs to be translated to Rubi for it to be incorporated in Decidim.
We are researchers from the University of Barcelona and the Artificial Intelligence Research Institute (IIIA-CSIC), and are in touch with Platoniq to see how this new functionality could be incorporated into Decidim.
Does this issue could impact on users private data?
No, participants’ opinions are publicly shared.
It could be partially funded through Fundació Solidaritat UB.
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