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Knowledge Resource

Research Summary: Fair Feed Ranking for Participatory Budgeting

Original authors
Attribution requires verification
Original source
arXiv — Computers and Society
Summary & Analysis prepared by
Aziz Shuaib Ausi
Resource type
Research Summary / Knowledge Resource
Resource published on AZIZ OS
25 September 2026
Reading time
1 min
Publication type
Knowledge Resource
Availability
Open access
About this Summary & Analysis

AZIZ OS provides independently prepared summaries and analytical interpretations of externally published research and knowledge sources. The underlying works remain attributable to their original authors and rights holders. This resource is intended to improve accessibility and understanding and does not replace the original publication.

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Research identifies that the ranking of proposals within large-scale participatory budgeting (PB) platforms significantly influences citizen engagement and acts as a form of agenda-setting. Current systems, such as Consul Democracy, frequently prioritize proposals based on popularity, recency, or comment activity, potentially leading to inequitable exposure for other submissions. A new design, FairFeed, is proposed to address this by incorporating transparent preferences, boosting underexposed proposals, and allowing for crowd-sourced vetting, aiming to enhance fairness in democratic digital platforms.

Why it matters

The way information is presented in digital civic engagement platforms directly impacts democratic outcomes by shaping citizen awareness and participation. Ensuring equitable visibility for all proposals is critical for fostering inclusive decision-making processes and preventing algorithmic bias from concentrating attention on a select few.

Key insights

  • Proposal ranking in large-scale participatory budgeting (PB) systems exerts significant agenda-setting power, influencing citizen inspection of proposals.
  • Fair exposure of proposals should be a primary democratic-design goal for PB platforms.
  • Widely used digital-democracy platforms, such as Consul Democracy, typically order proposal feeds by popularity, recency, or comment activity.
  • The proposed FairFeed design aims for fair exposure by using transparently declared preferences and boosting under-exposed proposals.
  • FairFeed includes a rate-limited reject channel for crowd-sourced vetting of proposals.
  • The FairFeed design was evaluated in a simulation anchored in Munich's 2025 PB process.

Source

arXiv — Computers and Society — https://arxiv.org/abs/2609.29819

Citation

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Verification ID
ASA-EXE-2026-00792
Version
v1.0 · r0
Issued
25 September 2026
Resource prepared by
Aziz Shuaib Ausi
Resource status
Research Summary / Knowledge Resource
Underlying work
Fair Feed Ranking for Participatory Budgeting
Original authors
Attribution requires verification
Original source
arXiv — Computers and Society
Provenance status
Attribution requires verification
Rights
Underlying publication rights remain with the respective copyright holder(s). Refer to the original source for authoritative publication and licensing information.

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