







And why should we build it?
Avoid Blunders Designing Reputation Systems
You don’t SPEND reputation because ratings are orthogonal to exchange.

MeritRank: Sybil Tolerant Reputation for Merit-based Tokenomics*
Decentralized reputation systems are emerging as promising mechanisms to enhance the effectiveness of token-based economies. Unlike traditional monetary incentives, these systems reward participants based on the actual value of their contributions to the network. However, the advantages and challenges associated with such systems remain largely unexplored. In this work, we investigate the inherent trade-offs in designing a decentralized reputation system that is simultaneously generalizable, trustless, and Sybil-resistant. Specifically, “generalizable” means that the system can assess various types of contributions across different contexts, “trustless” indicates that it functions without the need for a central authority to oversee reputations, and “Sybil-resistant” refers to its ability to withstand manipulations by fake identities, i.e., Sybil attacks.
The Importance of Validation and Decay In Community Reputation Metrics
When measuring contributions in your community, here are some essential recommendations for building fairness, retention, and growth.

Reputation and Historical Archives - Stack Overflow
If you've been around Meta Stack Overflow the past few days, you've seen a fair bit of conversation sparked by the recent changes to how reputation is calculated:
Reputation System Beta: Reputation Standing & Fair Play Program Beta
Information on the Reputation System Beta rollout and Ubisoft Fair Play Program Beta.

The Social Cost of Cheap Pseudonyms
We consider the problems of societal norms for cooperation and reputation when it is possible to obtain cheap pseudonyms, something that is becoming quite common in a wide variety of interactions on the Internet. This introduces opportunities to misbehave without paying reputational consequences. A large degree of cooperation can still emerge, through a convention in which newcomers “pay their dues” by accepting poor treatment from players who have established positive reputations. One might hope for an open society where newcomers are treated well, but there is an inherent social cost in making the spread of reputations optional. We prove that no equilibrium can sustain significantly more cooperation than the dues‐paying equilibrium in a repeated random matching game with a large number of players in which players have finite lives and the ability to change their identities, and there is a small but nonvanishing probability of mistakes. Although one could remove the inefficiency of mistreating newcomers by disallowing anonymity, this is not practical or desirable in a wide variety of transactions. We discuss the use of entry fees, which permits newcomers to be trusted but excludes some players with low payoffs, thus introducing a different inefficiency. We also discuss the use of free but unreplaceable pseudonyms, and describe a mechanism that implements them using standard encryption techniques, which could be practically implemented in electronic transactions.

The Social Cost of Cheap Pseudonyms
We consider the problems of societal norms for cooperation and reputation when it is possible to obtain cheap pseudonyms, something that is becoming quite common in a wide variety of interactions on the Internet. This introduces opportunities to misbehave without paying reputational consequences. A large degree of cooperation can still emerge, through a convention in which newcomers “pay their dues” by accepting poor treatment from players who have established positive reputations. One might hope for an open society where newcomers are treated well, but there is an inherent social cost in making the spread of reputations optional. We prove that no equilibrium can sustain significantly more cooperation than the dues‐paying equilibrium in a repeated random matching game with a large number of players in which players have finite lives and the ability to change their identities, and there is a small but nonvanishing probability of mistakes. Although one could remove the inefficiency of mistreating newcomers by disallowing anonymity, this is not practical or desirable in a wide variety of transactions. We discuss the use of entry fees, which permits newcomers to be trusted but excludes some players with low payoffs, thus introducing a different inefficiency. We also discuss the use of free but unreplaceable pseudonyms, and describe a mechanism that implements them using standard encryption techniques, which could be practically implemented in electronic transactions.

Properly Valuing Contributions
A major part of our mission as a company is to empower people. So naturally, at Qbix, we give a lot of thought to the best ways of doing that. This post describes a compensation model that we have designed, which clearly rewards people for their contributions, and actually drives everyone to compete

The Eigentrust algorithm for reputation management in P2P networks
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Reputational Risk Index — The Global Situation Room Inc.
The Reputation Risk Index™ is a quarterly barometer of emerging and evolving reputational threats to companies and organizations. The Index combines data from the Global Situation Room’s team of crisis experts and analysis from more than 150 preeminent public affairs leaders, from former heads of state and ministers to current CEOs and senior executives who serve on the Global Risk Advisory Council™.
(PDF) The EigenTrust Algorithm for Reputation Management in P2P Networks
PDF | Peer-to-peer file-sharing networks are currently receiving much attention as a means of sharing and distributing information. However, as recent... | Find, read and cite all the research you need on ResearchGate

Ranking Strategies on Farcaster | OpenRank
Profile reputation scoring to address trustworthiness in social networks

(PDF) HonestPeer: An Enhanced EigenTrust Algorithm for Reputation Management in P2P Systems
PDF | The visible success of the Peer to Peer (P2P) paradigm is associated with many challenges in finding trustworthy peers as reliable communication... | Find, read and cite all the research you need on ResearchGate

Trust is the most powerful currency in business | Fortune
A clear sense of ethics tells employees, clients, and members of your community that you care about a lot more than making money.

OpenRank (Karma3) — Onchain Atlas
Karma3 Labs' decentralized reputation-compute protocol that ran EigenTrust over onchain and social graphs to power verifiable rankings, feeds, and sybil-resistant airdrops — technically validated but shut down in 2026 for lack of a business model.

I think #ATScience should subsume those old, storied, and respected(?) reputation systems. What value they provide can be a great starting point for something far greater.