WeSearch

Efficient Elicitation of Collective Disagreements

·3 min read · 0 reactions · 0 comments · 19 views
#artificial intelligence#voting#disagreement
Efficient Elicitation of Collective Disagreements
TL;DR · WeSearch summary

The paper titled 'Efficient Elicitation of Collective Disagreements' explores how to analyze voter disagreements over alternatives. It proposes a new framework that identifies the minimal aggregated preference information needed to compute various disagreement measures. The authors introduce the plurality matrix and design elicitation protocols to estimate it, balancing participant numbers and cognitive load.

Key facts
Original article
arXiv cs.AI
Read full at arXiv cs.AI →
Opening excerpt (first ~120 words) tap to expand

Computer Science > Artificial Intelligence arXiv:2605.19521 (cs) [Submitted on 19 May 2026] Title:Efficient Elicitation of Collective Disagreements Authors:Mohamed Ouaguenouni, Felipe Garrido-Lucero, Umberto Grandi, César Hidalgo, Magdalena Tydrichova View a PDF of the paper titled Efficient Elicitation of Collective Disagreements, by Mohamed Ouaguenouni and 4 other authors View PDF HTML (experimental) Abstract:We analyze the structure of the disagreement among a population of voters over a set of alternatives. Surveys typically ask either for pairwise comparisons, simple and intuitive for participants, or full rankings over alternatives, eliciting the entire voters' preferences.

Excerpt limited to ~120 words for fair-use compliance. The full article is at arXiv cs.AI.

Anonymous · no account needed
Share 𝕏 Facebook Reddit LinkedIn Threads WhatsApp Bluesky Mastodon Email

Discussion

0 comments

More from arXiv cs.AI