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| Main Authors: | , , |
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| Format: | Recurso digital |
| Language: | English |
| Published: |
Zenodo
2026
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| Subjects: | |
| Online Access: | https://doi.org/10.5281/zenodo.20056389 |
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Table of Contents:
- <p class="p1">The open, anonymized dataset is designed to assess social risk amid the spread of artificially generated content. The data were collected through a survey conducted in Ukraine in April 2026 and include responses from 381 respondents. Each record corresponds to one respondent and contains socio-demographic characteristics, namely year of birth, age, level of education, and average net monthly income expressed in Ukrainian hryvnias.</p> <p class="p1">In addition, the dataset includes respondents’ answers to nine survey items that reflect their perceptions of AI-generated content, trust in information sources and state institutions, attitudes toward regulation, readiness to verify information, and preferences regarding AI-generated or human-created news. The responses are represented as linguistic variables, which makes the dataset suitable for fuzzy modelling, multicriteria analysis, TOPSIS-based ranking, and calculation of an integral index of safe public perception and social risk. The dataset is provided in open access and does not contain personally identifiable information.</p>