How Political Interest and Knowledge Shape Political Efficacy in Institutionalized Participation

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.

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Publication Details

Journal
International Journal of Electronic Government Research
Published
2025-09-04
DOI
https://doi.org/10.4018/ijegr.387830
Citations
1
Primary Topic
Social Media and Politics
Type
article
Field-Weighted Citation Impact
3.86
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article

How Political Interest and Knowledge Shape Political Efficacy in Institutionalized Participation

Yuanyuan Guo, Beichen Lu, Wei Cui, Yunpeng Guo
1 citations
International Journal of Electronic Government Research
Social Media and Politics
3.86
article

How Political Interest and Knowledge Shape Political Efficacy in Institutionalized Participation

Yuanyuan Guo, Beichen Lu, Wei Cui, Yunpeng Guo
article en
1 citations

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.

International Journal of Electronic Government ResearchVol. 21(1)
Ningbo University (CN), Tianjin Normal University (CN), Tsinghua University (CN)
Openalex Percentile: Top 7%
Social Media and Politics
3.86
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