Cited by 1Aesthetic Perception and AnalysisEthics and Social Impacts of AIArt, Aesthetics, and Perception

The Beauty Survey

Open access
Gulati, Aditya, Oliver, Nuria, Lepri, Bruno, ELLIS Alicante·2024·Zenodo

Abstract

This repository contains the data collected during and the code used to analyze the Beauty Survey. A pre-print of the associated paper including our analysis and findings can be found at this link. Zip files have been uploaded to this repository to stay within the file limit enforced by Zenodo. To use our code and data simply unzip these folders while mainting the current directory structure. While the code here is complete and stands on its own, any new features added can be found in the GitHub repository associated with this project (link). AG and NO are supported by a nominal grant received at the ELLIS Unit Alicante Foundation from the Regional Government of Valencia in Spain (Convenio Singular signed with Generalitat Valenciana, Conselleria de Innovacion, Industria, Comercio y Turismo, Direccion General de Innovacion), along with grants from the European Union’s Horizon 2020 research and innovation programme - ELISE (grant agreement 951847) and ELIAS (grant agreement 101120237), and by grants from the Banc Sabadell Foundation and Intel corporation. BL is partially supported by the European Union’s Horizon Europe research and innovation program under grant agreement No. 101120237 (ELIAS) and by the PNRR project FAIR - Future AI Research (PE00000013), under the NRRP MUR program funded by the NextGenerationEU.

Integrity signals

Registry

DataCite · 10.5281/zenodo.13836854

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Authors
Gulati, A., Oliver, N., Lepri, B., & Alicante, E.
Affiliations
  • ELLIS Alicante (ES)
  • Fondazione Bruno Kessler (IT)
Venue
Zenodo
Publisher
Zenodo
Published
2024-09-25
OpenAlex
W7223735378
Cited by
0
References
0
Type
dataset
Language
en
Open access
Locations
Zenodo (CERN European Organization for Nuclear Research) (cc-by)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Aesthetic Perception and Analysis
  • Social Sciences › Safety Research › Ethics and Social Impacts of AI
  • Social Sciences › Arts and Humanities › Visual Arts and Performing Arts › Art, Aesthetics, and Perception
Keywords
beauty, perception of beauty, aesthetic preference

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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