Digital trust is born with the evolution of digital society. It is an inescapable topic in the digital society and it is developed from traditional interpersonal trust and institutional trust and has been extensively used in the Internet space. At present, the research on digital trust is rare. Based on the Trust Theory and the Expectation Confirmation Theory, this paper puts forward an integration model with user satisfaction as the intermediary variable. Besides, this paper develops a set of scales for evaluating digital trust combined with maturity scales and points out that digital trust consists of digital cognitive trust and emotional trust. This paper assumed that user perception and user expectation indirectly affect digital trust through user satisfaction and used SPSS 23.0 to do reliability, validity test, and exploratory factor analysis. The results found that user satisfaction plays a mediating role by fitting, evaluating, and optimizing the structural equation model with AMOS23.0. User satisfaction is a partial intermediary between user perception and digital trust, and it is the complete intermediary between user expectation and digital trust. These results demonstrate two things. Firstly, in the digital society, the construction of users' digital trust is based on users' satisfaction. The government should provide diversified and high-quality e-government services as far as possible. Secondly, digital trust is directly or indirectly affected by user perception and user expectation. The government should build a safe, green, and harmonious digital environment for users and make e-government services consistent with users' expectation.

Drawing upon Hofstede's cultural model, this study establishes a framework for examining the factors influencing citizens' continuous use of e-government websites. This paper, employing quantile regression, reveals that collectivism, masculinity, long-term orientation, and constraint culture exhibit varying degrees of influence on different levels of continuous use of China's e-government websites. Moreover, it has been observed that masculine culture exerts a limiting effect on the continuous use of e-government websites by the Chinese public, but this restriction diminishes beyond the 50th percentile of continuous usage level. In contrast, constraint-oriented culture consistently influences the Chinese public's continuous usage behavior of e-government websites. Both collectivist culture and long-term orientation culture demonstrate their impact on the continuous use of e-government websites among the Chinese public once a certain threshold of continuous usage level is achieved. In light of these findings, the study suggests that the government should pay attention to the cultural aspects of e-government websites and provide culturally adaptive e-government services to better meet the public's needs and expectations.

This study investigates the direct and indirect influences of behavioral quality, social support, perceived system, emotional perception, and public expectation on user favorability regarding government chatbots in both government service and policy consultation contexts. The findings reveal that while behavioral quality, social support, and perceived system directly affect user favorability in both scenarios, public expectation uniquely impacts user favorability in policy consultation settings, but not in government service scenarios. Furthermore, the analysis indicates that social support, emotional perception, and public expectation all indirectly influence user favorability through their mediating effect on behavioral quality in both contexts. Notably, the significant distinction between the two scenarios is the presence of an indirect impact of perceived system on user favorability within policy consultation scenarios, which is absent in government service scenarios. This study sheds light on the intricate interplay of factors shaping user favorability with government chatbots, and provides valuable insights for improving user experiences and user favorability in different governmental service contexts.

In the rapidly evolving landscape of digital governance, government chatbots have emerged as pivotal tools in reshaping interactions between citizens and public institutions. As governments increasingly adopt AI-driven solutions to streamline services, these chatbots play a crucial role in transitioning from traditional, human-centric consultations to more efficient, automated processes. Understanding how these AI systems impact user satisfaction and effectiveness is essential for optimizing digital government platforms and ensuring they meet the nuanced needs of contemporary societies. Digital Government and Public Interaction: Platforms, Chatbots, and Public Satisfaction delves into the transformative role of AI-driven chatbots in modern government services. It examines the shift from traditional human consultations to digital interactions, focusing on how these changes impact public satisfaction. This publication advances understanding of AI-driven services and integrates theories from public administration, sociology, psychology, and information management. Additionally, the book provides practical insights for government agencies to enhance digital services, improve response quality, and better address public needs. By analyzing both the supply-side efforts of government and the diverse demands of users, this book will prove to be a valuable resource for academic researchers, government practitioners, educators, and professionals.

This study focuses on the impact of technological changes, particularly the development of generative artificial intelligence, on government–citizen interactions in the context of government services. From a psychological perspective with an emphasis on technological governance theory and emotional contagion theory, it examines public perceptions of the simulated emotions of governmental chatbots and investigates the moderating role of age. Data were collected through a multi-stage stratified purposive sampling method, yielding 194 valid responses from an original distribution of 300 experimental questionnaires between 24 September and 13 October 2023. The findings reveal that public expectations significantly enhance the simulated emotional perception of chatbots, with this effect being stronger among older individuals. Age shows significant main and interaction effects, indicating that different age groups perceive the simulated emotional capabilities of chatbots differently. This study highlights the transformative impact of generative artificial intelligence on government–citizen interactions and the importance of integrating AI technology into government services. It calls for governments to pay attention to public perceptions of the simulated emotions of governmental chatbots to enhance public experience.

This study explores the factors affecting elderly women's institutional political participation. The inverse relationship between economic status and participation may be attributed to poverty constraining the political engagement capabilities of elderly women, while traditional media, especially television, enhances it by providing easily accessible information resources. In contrast, new media shows minimal influence, hinting at a generational digital divide or preference for traditional information channels. Surprisingly, close social circles, notably neighbors and friends, deter participation, possibly reflecting deep-rooted norms or localized echo chambers. These findings highlight the complex interplay of factors shaping political engagement among elderly women and suggest a need for tailored strategies to promote their active involvement in institutional politics.