As the core ability of citizens to effectively participate in digital life，digital literacy has become a key indicator of national competitiveness. This paper systematically reviewed representative international and domestic definitions of digital literacy and distilled their underlying theoretical orientations，thereby illuminating the conceptual evolution of digital literacy. It aims to develop a theoretical system and practical mechanism of digital literacy with local characteristics. This study shows that the connotation of digital literacy has shifted from instrumental competence to a comprehensive competence system covering critical thinking and security. Current research shows three major trends，including conceptual expansion，exacerbation of the literacy divide，and the rise of algorithmic and AI literacy. In the future，it is imperative to develop a local digital literacy theoretical system and an education ecosystem involving multi-stakeholder collaboration，thereby responding to the new requirements in digital society.

The arrival of the platform society poses new challenges to traditional citizens’ digital literacy，reflected in both visually-centred forms of content expression and algorithmically-driven mechanisms of content distribution. Based on an analysis of visual studies and platform studies，this paper argues that digital literacy in the platform society comprises two key dimensions：visual literacy and algorithmic literacy. Enhancing citizens’ digital literacy requires developing both visual interpretation，critique，and creative abilities, as well as algorithmic cognition，critique，and interactive abilities. Furthermore，it emphasizes that the collaborative enhancement of digital literacy in the platform society should be grounded in structural empowerment，guided by inclusiveness，and oriented toward future technological transformations.

In the technological scenarios where social media and artificial intelligence are popularized，low-quality scientific and health information has become an important object for the collaborative governance of false information，which poses higher requirements for the knowledge and skills of Internet users who serve as one of the main bodies of collaborative governance. To investigate the role of digital news literacy and its sub-dimensions in reducing the preference for unofficial media trust among individuals with different levels of scientific trust，this paper conducted an online survey based on a quota sample of Chinese netizens（N=1 109）. Research has found that those with higher literacy in the context，content，circulation，and consumption of digital news，as well as overall literacy，are more likely to break the reliance on unofficial information channels，and this mechanism is more effective among scientific believers. The research has broken the theoretical myth of “trust nexus”；as a differentiated path for the whole society to enhance digital news literacy and govern disinformation，the study suggests disseminating social science knowledge，such as media effects and media systems to science believers，and emphasizing how news differs from non-news and the process of news production to science skeptics.

Citizens’ digital literacy and skills are closely linked to personal survival and development，social equity and inclusiveness，and national economic development. Conducting relevant evaluations is an inevitable requirement for promoting the sustainable development of the digital society. This paper reviews the research progress and practical status of citizens’ digital literacy and skills in terms of evaluation concepts and frameworks，evaluation methods and tools. By comparing the characteristics of different evaluation systems through evaluation cases，it clarifies the problems and challenges faced by evaluations and looks forward to the future trends of intelligent，precise，and standardized evaluations.

As the pace of global digital transformation accelerates，digital literacy has emerged as a cornerstone for enhancing citizens’ overall competence and bolstering national competitiveness. By analyzing and comparing strategies and policies for enhancing digital literacy in five representative countries/regions—the United States，the European Union，the United Kingdom，Singapore，and Japan-this paper proposes targeted recommendations for advancing China’s nationwide digital literacy.The study finds six elements consistently underpin these national strategies that regular evaluation of strategic progress，robust digital infrastructure，comprehensive digital-literacy frameworks，sustained cultivation of digital talent，wide-ranging digital-skills training programs，and multi-stakeholder cooperation mechanisms. Looking ahead，China should refine its development goals and supporting measures，continue to expand and upgrade its digital infrastructure，establish a national digital-literacy assessment framework and corresponding curriculum system，enhance digital services for vulnerable groups，strengthen the digital-talent pipeline，and foster closer collaboration among government，industry，academia，and civil society.

To enhance the China Science and Technology Museum（CSTM）visitor satisfaction，This reseanh constructs a structural model to inquire into the interaction mechanism among visitor expectations，perceived quality，perceived value，visitor satisfaction，and visitor loyalty. During the periol from August to October 2024，the research team conducted a survey among CSTM visitors，the results show that perceived quality and perceived value have a significant positive impact on visitor satisfaction，while，visitor expectations exert a relatively weak influence on visitor satisfaction. Furthermore，visitor satisfaction was found to have a positive effect on visitor loyalty. Therefore，CSTM should focus on enhancing perceived quality and perceived value.

Scientific literacy underpins national technological innovation and sustainable development，with the efficacy of science popularization directly influencing a nation’s overall scientific literacy. China has always attached great importance to the science popularization，and since the beginning of the 21st century，the promulgation of a series of important policies and documents and the establishment of mechanisms for the science popularization have led to the important development of the cause of science popularization. In the new era，the connotation，concept and means of science popularization have undergone significant changes，and science popularization is facing many challenges，including insufficient understanding of the importance of science popularization，insufficient supply of high-quality science popularization，the urgent need to improve the system of collaborative work in the society of science popularization and the need to strengthen the venues for science popularization，etc. In view of this，the latest progress and experience of science popularization in the international arena will be useful for China to enhance the effectiveness of science popularization. This paper takes the United Kingdom，the United States，Japan，Australia and the European Union as the research objects，and conducts in-depth research and comparative analysis on the science popularization systems in these countries and regions from 2017 to 2024 by constructing a multi-dimensional analytical framework of “theory-policy-technology-practice-public participation”，aiming at grasping the cutting-edge dynamics of the development of science popularization in the international arena. It is found that these developed countries and regions have the following distinctive features in the field of science popularization：theoretical inquiry shows a trend of paradigm change and synergy of subjects，policy making focuses on educational integration and differentiated response，technological development and application and cognitive reflection，practical path focuses on multi-dimensional expansion and continuous deepening，and public participation highlights equal interaction and multi-party linkage. Based on the current situation of science popularization in China，this paper proposes that China should build a multi-dimensional optimization path with its own characteristics.

In addressing the discrepancy of scientists’attitudes and behaviors regarding their participation in science popularization，existing studies have explored the social dimension that influences scientists’intentions. However，they have inadequately addressed the epistemic dimension. This paper focuses on three types of practices：AI + science games developed by scientists，“AI + science”summer lab，and the integration of scientific instrumentation and data for science popularization. These examples illustrate scientists’participation in the age of AI for science. These new patterns of science popularization enable the public to engage directly in scientific epistemic practices. Consequently，scientists actively address the diverse epistemic demands of the public. Such interactions benefit scientific research，collaborative engagement of scientists and the public in scientific practice，and provide opportunities for collaboration among scientists from different fields in science popularization. Furthermore，these practices facilitate the transfer of skills and enhance the public’s understanding of the complexities of science. Ultimately，these initiatives yield mutual epistemic and social benefits for both scientists and the public. This paper proposes it as an effective strategy for integrating epistemic and social approaches to enhance scientists’motivation to participate in science popularization，thereby fostering synergy between science popularization and technological innovation.

With the deep penetration and widespread application of artificial intelligence technology in the field of science communication，understanding the mechanisms by which its expression of uncertainty influences audience information processing and human-computer interaction behavior patterns has become a pressing theoretical and practical issue in science communication research. Based on this，this study selected genetically modified technology，a highly controversial and socially concerned scientific and technological issue，as the research object. We adopted a 2（uncertainty level：high vs. low）×4（simulated role: no role simulation vs. journalist vs. scientist vs. ordinary netizen）between-subjects experimental design. Through an independently developed AI dialogue platform based on large language models，we collected and analyzed self-reported and online interaction data from 547 Chinese participants to explore the complex mechanisms of uncertainty communication in human-computer interaction contexts. The research results reveal a phenomenon of significant theoretical importance：the high uncertainty expression driven by artificial intelligence has produced a significant dual effect on the audience. Specifically，at the cognitive evaluation level，highly uncertain statements significantly reduced the audience's trust in information content and information sources，and at the same time showed a clear negative bias in the risk-benefit perception dimension，that is，significantly enhanced the audience’s risk perception and correspondingly weakened their cognitive evaluation of the benefits of related technologies. However，at the human-computer interaction behavior level，the dialogue length and number of dialogue turns between the audience and the large language model under high uncertainty conditions both showed a significant increasing trend，reflecting a stronger information-seeking motivation and more active exploratory behavior tendencies compared to low uncertainty conditions. This finding indicates that uncertainty in human-computer interaction communication contexts simultaneously activates two relatively independent psychological processing processes: the cognitive evaluation path（leading to negative evaluation）and the behavioral regulation path（promoting active participation）. In addition，the role simulation of large language models had no significant effect on trust and risk/benefit perception，but had a significant effect on interaction behavior，indicating that the audience's evaluation of AI-generated content is more based on content characteristics than on role labels. The findings of this study not only enrich the applicability of uncertainty communication theory in the era of artificial intelligence，but also provide important theoretical guidance and practical insights for optimizing science communication strategies.

As a collaborative culture enabled by technology，open science is committed to promoting the open sharing of resources and knowledge throughout the entire research process. It accelerates scientific research and enhances public understanding of science. Open science is closely intertwined with the goals of science popularization，and offers new opportunities to transform the way that scientists engage in science popularization. Taking epistemic diversity as an analytical framework，this paper uses bibliographic coupling to map knowledge communities，combining data analysis techniques such as Python and case mining，compares the characteristics of scientists’popularization under traditional scientific research organization and in the wave of open science，and analyzes how epistemic diversity contributes to the science popularization. This study found that under a traditional scientific research organization，the main science popularization topics are climate and environment. Scientists conduct science popularization through social media，school education，and participation in policy-making. In the wave of open science，scientists leverage collaborative science research and science popularization projects，empowered by open platforms，to bring about multi-stakeholder participatory practices. The topics are expanded to multiple fields such as health，ecology，and geology. Scientists，the public，and enterprises integrate epistemic resources in collaborative science popularization，contribute their epistemic abilities，and gain epistemic benefits. This new approach can not only share the epistemic costs in scientists’popularization and promote scientific discoveries，but also promote scientists’ability and willingness.