The Importance of Validation and Decay In Community Reputation Metrics

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:

Ranking Strategies on Farcaster | OpenRank

Profile reputation scoring to address trustworthiness in social networks

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.

When the Scoreboard Becomes the Game, It’s Time to Recalibrate Research Metrics - The Scholarly Kitchen

Today's guest post discusses research metrics and their relationship to research integrity, inclusivity, and long-term impact.

The Eigentrust algorithm for reputation management in P2P networks

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(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

(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

A New Paradigm for Scientific Publishing, Peer Review, and Impact Assessment

Scientific publishing and peer review have evolved little in three centuries, while the demands placed on them have grown profoundly. The growing role of artificial intelligence has underscored deep, systemic shortcomings of an aging system that has largely evaded innovation, a system whose origins are appallingly closer to the invention of the printing press than to the internet. We can do better – much better. This article is intended as the beginning of a communal experiment: a living document that critically reviews the modern academic publishing and peer-review system and presents a concrete framework to address what bibliometrics experts¹ have characterized as "the pervasive misapplication of indicators to the evaluation of scientific performance". Building on the Leiden Manifesto, DORA, and a body of scholarship spanning many disciplines and decades, we present a community-governed, non-profit platform organized around three trust-weighted impact factors, for articles, authors, and reviewers, with full algorithmic transparency, an open development log, and structural decoupling of credibility scoring from content moderation and from monetization. We invite the community to discuss, critique, and help shape it.

EigenTrust

The EigenTrust algorithm is a reputation management algorithm for peer-to-peer networks, developed by Sep Kamvar, Mario Schlosser, and Hector Garcia-Molina.[1] The algorithm provides each peer in the network a unique global trust value based on the peer's history of uploads and thus aims to reduce the number of inauthentic files in a P2P network. It has been cited by approximately 5800 other articles according to Google Scholar.[2]

mitchellh/vouch

A community trust management system based on explicit vouches to participate.

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.

Scaling Open Source communities

Successful Open Source projects must transition from pure volunteerism to include paid contributions, mirroring how public goods like roads evolved historically.

Funded projects | Scaling Trust

Explore the projects we're funding in the Scaling Trust opportunity space.

Attestation-Based Funding

Continuous capital allocation triggered by verified community support thresholds.