Data from 381 respondents for assessing social risk in the context of the spread of artificially created content (Ukraine)

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.

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.