## .css-1unrqcp{color:inherit;-webkit-text-decoration:none;text-decoration:none;}The Computational Democracy Project

• For a given comment , and subset (group) in the conversation , the Representativeness of that comment for group (denoted ), is a measure of how much more likely participants in group are to place vote on said comment than those outside group .

• Here's how we compute Representativeness :

• We first estimate the probably that a person in a group votes on comment as follows: . Here:

• is the number of people in group who vote (gree or isagree or ass) on comment
• is the number of people in group who vote at all on comment .
• The values of 1 & 2 added to the numerator and denominator of the above fraction are psuedocounts, and are used as a semi-naive prior in frequentist statistics.
• We then compute

• Here is the complement of , that is, all the participants in the conversation who are not members of group .
• Selection criteria are a bit more challenging to describe, but this involves looking at the two-property test (basically the fisher test) and multiplying this by the Representativeness to obtain a mashup number reflecting both estimated effect size and confidence.

## .css-1unrqcp{color:inherit;-webkit-text-decoration:none;text-decoration:none;}The Computational Democracy Project

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