Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Social media, public opinion polls, and trust in government decisions

Evidence from Kazakhstan

Bibliographic Data

ID22189293
AuthorsLarissa Bozhko (0000-0002-5368-1482), Tatyana Pechenkina, Gauhar Seitkhamzina, Maxim Afanasyev
Year2026
Volume10
Issue2
Pages1
Publication date2026-05-26
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Infrastructure Policy and Development (JOURNAL)
Journal identifiersISSN: 2572-7923 • E-ISSN: 2572-7931
PublisherEnPress Publisher (PUBLISHER)
DOI10.24294/jipd026190028
OpenAlexW7162692990
LanguageEN

This study examines the role of social media in shaping public trust in government decisions in Kazakhstan. The research aims to assess the level of public confidence in government decisions through a content analysis of public opinion poll results and social media messages. The study employs a sociological survey method combined with text analysis of poll data and online communications. The findings reveal specific patterns in the interpretation and presentation of public opinion polls on social media, including limitations related to methodological transparency and expert engagement. Based on the results, a set of practical recommendations is proposed to enhance the effectiveness of public administration through improved communication strategies, increased transparency, and greater consideration of citizens’ opinions. The study contributes to the development of participatory governance and digital public communication

Citizen journalism · Corporate governance · Opinion poll · Public opinion · Public participation · Social media · E-Government and Public Services · Public Relations and Crisis Communication · Social Media and Politics

Citation velocityhistorical
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae