How Political Interest and Knowledge Shape Political Efficacy in Institutionalized Participation
Year: 2025
Type: article
Abstract: This study examine the roles of internal and collective political efficacy across different forms of political participation, with a focus on how generative AI, used as a digital engagement tool by governments, influences citizens' political interest, knowledge, efficacy, and participation. The findings reveal that internal political efficacy significantly promotes political participation, especially non-institutionalized participation, while collective political efficacy plays a more limited role. The government's use of generative AI improves access to policy information and political participation opportunities. However, its impact on political efficacy depends on whether online engagement leads to real policy responsiveness. Policy responsiveness plays a key role in enhancing efficacy and sustained participation. This study shows that political efficacy is influenced by both individual cognition and external factors, highlighting the need for digital government strategies to combine innovation with effective policy feedback to better engage citizens.
DOI: 10.4018/ijegr.387830
Authors: Wei Cui, Beichen Lu, Yuanyuan Guo, Yunpeng Guo
Institutions: Tianjin Normal University, Tsinghua University, Ningbo University
Language: English
Field: Social Sciences
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4413975769