No-Regret Learning Supports Voters’ Competence
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11230%2F24%3A10470892" target="_blank" >RIV/00216208:11230/24:10470892 - isvavai.cz</a>
Result on the web
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=oQvv_AptB0" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=oQvv_AptB0</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1080/02691728.2023.2252763" target="_blank" >10.1080/02691728.2023.2252763</a>
Alternative languages
Result language
angličtina
Original language name
No-Regret Learning Supports Voters’ Competence
Original language description
Procedural justifications of democracy emphasize inclusiveness and respect and by doing so come into conflict with instrumental justifications that depend on voters' competence. This conflict raises questions about jury theorems and makes their standing in democratic theory contested. We show that a type of no-regret learning called meta-induction can help to satisfy the competence assumption without excluding voters or diverse opinion leaders on an a priori basis. Meta-induction assigns weights to opinion leaders based on their past predictive performance to determine the level of their inclusion in recommendations for voters. The weighting minimizes the difference between the performance of meta-induction and the best opinion leader in hindsight. The difference represents the regret of meta-induction whose minimization ensures that the recommendations are optimal in supporting voters' competence. Meta-induction has optimal truth-tracking properties that support voters' competence even if it is targeted by mis/disinformation and should be considered a tool for supporting democracy in hyper-plurality.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
50601 - Political science
Result continuities
Project
<a href="/en/project/LX22NPO5101" target="_blank" >LX22NPO5101: The National Institute for Research on the Socioeconomic Impact of Diseases and Systemic Risks</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Social Epistemology
ISSN
0269-1728
e-ISSN
1464-5297
Volume of the periodical
38
Issue of the periodical within the volume
5
Country of publishing house
GB - UNITED KINGDOM
Number of pages
17
Pages from-to
543-559
UT code for WoS article
001063094600001
EID of the result in the Scopus database
2-s2.0-85170696579