Difference between revisions of "Peer-to-Peer Accountability Enforcement/mechanism/CW"
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(Created page with "'''Credibility Weighting''' (CW) means that all ratings do not figure equally in the aggregate. A rating from a user with a high credibility rating will count more than a user...") |
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'''Credibility Weighting''' (CW) means that all ratings do not figure equally in the aggregate. A rating from a user with a high credibility rating will count more than a user with a low credibility rating. | '''Credibility Weighting''' (CW) means that all ratings do not figure equally in the aggregate. A rating from a user with a high credibility rating will count more than a user with a low credibility rating. | ||
| − | '''A pitfall to avoid''': Although it would seem logically consistent, users with ''negative'' credibility ratings must not have ''negative'' influence on the aggregate, as this would give them just as much power to "game the system" by voting ''against'' accounts they actually want to boost. Weighting should either bottom out at zero, or else should follow some curve that never quite goes negative (e.g. log() of the user's rating). | + | '''A pitfall to avoid''': Although it would seem logically consistent, users with ''negative'' credibility ratings must not have ''negative'' influence on the aggregate, as this would give them just as much power to "game the system" by voting ''against'' accounts they actually want to boost. Weighting should either bottom out at zero, or else should follow some curve that never quite goes negative (e.g. log() of the user's rating). The ''magnitude of influence'' must be some positive function of the user's credibility. |
Revision as of 10:35, 24 October 2017
Credibility Weighting (CW) means that all ratings do not figure equally in the aggregate. A rating from a user with a high credibility rating will count more than a user with a low credibility rating.
A pitfall to avoid: Although it would seem logically consistent, users with negative credibility ratings must not have negative influence on the aggregate, as this would give them just as much power to "game the system" by voting against accounts they actually want to boost. Weighting should either bottom out at zero, or else should follow some curve that never quite goes negative (e.g. log() of the user's rating). The magnitude of influence must be some positive function of the user's credibility.