As one of the effective forms of science popularization, large-scale science popularization activities play a positive role in improving citizens’ scientific literacy, creating a good scientific and cultural atmosphere, and promoting innovation and development. Based on the investigation and analysis of literature and the implementation of domestic large-scale science popularization activities, this article gives an in-depth study of the current situation of domestic large-scale science popularization activities. The research status, characteristics, and development trends of large-scale science popularization activities are expounded. Taking Beijing science festival and other activities as research cases, this paper analyzes the problems of large-scale science popularization activities. Based on the above analysis, thoughts and suggestions are given on the planning, organization, implementation and improvement of communication effect of future large-scale science popularization activities.

Taking university students as research objects, this paper constructs a conceptual model of willingness of continuous participation of science popularization activities including intermediary model. Through investigating and data collection of 24 universities from 3 provinces of Zhejiang, Anhui, and Jilin, analyzed by AMOS and SPSS, we found that willingness of continuous participation is directly influenced by content perception, service perception, cognition trust, social atmosphere and satisfaction, among of which that cognitive trust partially mediates the relationship between content perception and satisfaction. Based on the above, this paper puts forward countermeasures and suggestions: the activies of popularization of science in colleges and universities should make efforts from multiple dimensions; whole process management of science popularization activities should be paid attention to; scientists should be encouraged to join the queue of science popularization by means of system construction in order to improve the content perception level of science popularization activities; a professional team of collega students should be built to enhance the science popularization service ability in colleges and universities.

In the COVID-19 epidemic, false scientific information spreads fast and causes great harm, which has attracted the attention of scholars. Based on the research results of re-contextualization strategies of scientific discourse, this study explores the rhetoric strategies of the anti-vaccination campaign in the United States. It improves the framework of discourse strategy analysis of science communication, and puts forward suggestions on how to reduce the dissemination of false scientific information.

In this study, 174 epidemic rumors from the list of epidemic rumors from Sina News and Catch Rumors column were used as the research object, and the rumor text was analyzed based on six analysis categories including content type, focus object, corroboration method, and so on. The study found that epidemic rumors are mostly “contagion” topics, which focus on the general public. Rumor texts are mainly expressed in one or two supporting ways and appeals. Narrative is the most common, with strong fear in the texts. On the basis of the above research, this paper summarizes the text strategies of rumor: they concoct topics based on the pain points of the epidemic, disguise facts to confuse the audience, and prefer exaggerated and polarized discourse styles. Finally, some suggestions are put forward.

In order to understand the topic selection scheme of domestic popular science journals in response to covid-19 pandemic, establish the pattern of selected topics during the pandemic, and provide some references, this paper uses the computational language method LDA topic model to compare the topic categories and contents of typical popular science journals on COVID-19 from January 2020 to January 2021, and then analyses the characteristics as well as shortcomings of the topic settings. This paper suggests that popular science journals need to enhance the innovation and depth of thematic content, systematically develop science thematic strategies based on the life cycle of an epidemic, increase the proportion of science news themes to promote the timeliness of science.

This article is based on Gsdata.cn’s public opinion monitoring data on the discussion about artificial intelligence (AI) under the COVID-19 epidemic in Weibo. Text mining combined with qualitative analysis were used to analyze the public cognition and attitude to AI. AI in the areas of work resumption, epidemic monitoring, and medical applications received the most attentions. A relatively positive overall attitude was shown, mainly reflected people’s acceptance and recognition of effectiveness, accuracy and safety of AI in fighting against the epidemic. During this period, enterprises and governments are the main sources of information, publishers and objects of attention on AI issues. Discussions focused on issues such as economics, policies, and technology applications. There was relatively less content on AI ethics, governance, risks, and related scientific popularization. Therefore, we propose to encourage multiple subjects to conduct open dialogues, focusing on the issues of AI ethics, governance and risks. Science popularizers can conduct in-depth and systematic scientific dissemination around the public’s attention and personal experience during the epidemic to AI.

This paper attempts to investigate and sort out the science popularization policies issued by relevant departments and institutions in China, and analyze the contents of various policies about scientific and technical workers engaging in science popularization. Firstly, core keywords are extracted to draw the knowledge network map of policy content, focusing on the three processes of pre-stage, process and follow-up stage of science popularization. This paper summarizes the content elements framework of public science popularization policy from two aspects, and interprets each element in detail. Finally, the paper puts forward the prospect and suggestions for the future policy from the top-level design, cooperation mechanism, role positioning, content system, communication mode and other aspects in order to provide theoretical basis and decision support for the revision and improvement of science popularization policies.

The construction of fire safety culture and popularization of fire science are important. Emergency science popularization museum is a main place for fire science popularization, and a scenario-based science popularization model is introduced to seven types of emergency science popularization museum in this paper. The advantages are discussed in detail and the model of scenario-based science popularization is designed according to the 5W theory of communication. It is beneficial to improving the capacity of fire emergency science popularization, and thus enhancing the fire safety literacy of the public.

Firstly, comparisons on Spinoza, Deleuze, and Masumi’s manners and essences of “affect” are made. Secondly, based on Spinoza-Deleuze-Masumi’s ontological affect theory, the main features of “Hearts-On”-the trend of contemporary science education-is theoretically explored. Hearts-on Science Education is explained by key concepts of affect theory including virtual, therapy, representation, synesthesia, becoming and subjectivity separately, and then to understand the core of science, to enjoy the joy of science, to feel the beauty of science, to experience the usefulness of science, to become aware of the responsibility of science, and to participate in the development of science. Thirdly, embodied scientific exhibitions of “Hearts-On” are found and analyzed, furthermore, their common feature of narrative is generated. Finally, the concept of “phenomenal narrative” of science center exhibition is put forward, and its theoretical as well as practical significance in science centers’ science popularization practice is discussed.