Artificial intelligence and social media as new arenas of political competition: challenges for democracy
This study examined how users’ perceptions of algorithmic influence and AI manipulation are associated with key democratic indicators, including trust in political information, perceived political autonomy, and the quality of online deliberation. The study is based on a mixed research design. The quantitative part included a survey of 1,795 active social media users in the Republic of Kazakhstan. The analysis used correlation analysis, multivariate OLS regression with interaction effects, and sample weighting. T…
Among active social media users in Kazakhstan, perceiving algorithmic personalization was under certain conditions associated with a higher sense of control over information choices.
Findings are based on self-reported perceptions and correlational associations rather than experimental evidence of actual algorithmic effects, limiting causal inference.
Evidence
- Peer-reviewedFrontiers in Political Science2026-05-29
How should this claim be treated?
Truvace Impact Record TRV-2026-0179, v1: “Artificial intelligence and social media as new arenas of political competition: challenges for democracy.” Truvace, 2026-07-13. /record/TRV-2026-0179 (accessed at citation time). sha256 06d8306cc63cea8a…
Calibration history
Every change to this record since certification, in the open. None yet — the reading has held since it entered the record.
Certified into the record
How to verify without trusting this page
Fetch the canonical text of any version from /api/record/TRV-2026-0179 and hash it yourself — for example shasum -a 256 on the saved canonical field. The result must equal content_hash, and each version’s text ends with prev:followed by the prior version’s hash (version 1 chains to 64 zeros). If a single character of any version had been altered since certification, the chain would not reproduce.
ace