Reputation Systems.¶
Resnick, P., Kuwabara, K., Zeckhauser, R., & Friedman, E. (2000). Reputation Systems. Communications of the ACM, 43(12), 45-48.
Cited by¶
4 citations across 4 artifacts.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Informal Enforcement
- Online communities: Moderation by downvotes, call-outs, ratio'ing, and de-platforming pressure that operates beside or ahead of official platform rules — the distributed reaction of users channeling behavior faster and more pervasively than any moderation team.
This sourceAnalysis of how online reputation systems aggregate distributed feedback to deter misconduct and channel behavior; supports the online-communities claim about distributed moderation operating beside or ahead of official rules.
- Online communities: Moderation by downvotes, call-outs, ratio'ing, and de-platforming pressure that operates beside or ahead of official platform rules — the distributed reaction of users channeling behavior faster and more pervasively than any moderation team.
- Reputation
- The structural insight is robust across substrates: a firm guarding brand equity, a nation cultivating a reputation for resolve, a cooperating organism accruing "good standing," a seller accumulating eBay feedback, and a web page gathering inbound links all exhibit the same loop in which past behavior, made observable to a future audience, becomes a stock that governs subsequent treatment, a convergence Resnick, Zeckhauser, Friedman, and Kuwabara (2000) documented when they showed that online reputation systems re-implement the indirect-reciprocity logic biologists had independently described.
This sourceDocuments how online reputation systems collect, aggregate, and distribute feedback, re-implementing the indirect-reciprocity logic across the computational substrate.
Supported in partVerified against the work's full text
Resnick et al. show eBay-style feedback turning a seller's history into a stock that shapes future buyers' decisions, but they do not mention the biological indirect-reciprocity literature or the other substrates.
“Through the mediation of a reputation system—assuming buyers provide and rely on feedback—isolated interactions take on attributes of long-term relationships.”
- The structural insight is robust across substrates: a firm guarding brand equity, a nation cultivating a reputation for resolve, a cooperating organism accruing "good standing," a seller accumulating eBay feedback, and a web page gathering inbound links all exhibit the same loop in which past behavior, made observable to a future audience, becomes a stock that governs subsequent treatment, a convergence Resnick, Zeckhauser, Friedman, and Kuwabara (2000) documented when they showed that online reputation systems re-implement the indirect-reciprocity logic biologists had independently described.
- Shadow Of The Future
- … live design concerns: low observability (anonymous or easily-discarded accounts let a cheater shed a bad reputation — "whitewashing") and short horizon (a seller planning to exit soon defects on the way out), which platforms counter with verified identity, friction on account re-creation, and exit-bond mechanisms.
This sourceCanonical account of how online reputation systems must collect and propagate history and raise the cost of discarding/re-creating identity (verified or persistent identity, entry friction) to deter short-horizon and low-observability defection.
Supported in partVerified against the work's full text
The paper covers whitewashing via new pseudonyms and counters (entry fees, real names, once-in-a-lifetime pseudonyms), but not exit-scam short horizons or exit bonds.
“If they register again, they might choose another pseudonym, effectively erasing prior feedback.”
- … live design concerns: low observability (anonymous or easily-discarded accounts let a cheater shed a bad reputation — "whitewashing") and short horizon (a seller planning to exit soon defects on the way out), which platforms counter with verified identity, friction on account re-creation, and exit-bond mechanisms.
Mechanisms¶
- Tracked History or Reputation Record
- Its strength is building trust between strangers out of nothing but accumulated behavior and the shadow of the future — no examiner, no issuer, no artifact — which is why reputation systems are the backbone of online marketplaces and platforms.
This sourceExplains how feedback histories and expectations of future transactions let reputation systems create trust in online marketplaces.
- Its strength is building trust between strangers out of nothing but accumulated behavior and the shadow of the future — no examiner, no issuer, no artifact — which is why reputation systems are the backbone of online marketplaces and platforms.
Verification¶
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Does it back the claim? Read against the text for 2 of 4 citations: 2 supported in part. Each verdict is shown under its citation below, with what in the work backs the sentence.
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Links previously used in the corpus¶
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