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.

The effectiveness of science popularization in county directly determines the level of public scientific literacy within its scope. Based on interviews and surveys conducted nationwide and data obtained by web crawlers, this paper uses grounded theory to extract 11 factors that restrict the effectiveness of science popularization in county from three dimensions: macro, meso, and micro. On this basis, the ISM model is constructed to analyze the logical relationship and hierarchical structure among the various factors. The research results show that the external environment and institutional mechanisms are the root factors that restrict the effectiveness of science popularization work in counties. Among them, the policy environment and population environment are the deepest factors; personnel, venue, and channels of science popularization are the most direct factors which influenced by organization building and funding of science popularization. Based on the research conclusions, relevant suggestions to improve the effectiveness of science popularization in county are put forward.

The current situation of science popularization service in Chinese college and universities is lacking effective and applicable evaluation indexes. Based on the in-depth research of 25 universities in Jilin, Anhui and Zhejiang provinces of China, adopting Grounded Theory to conduct three-level coding for the survey interview content, the classification and theoretical model of the evaluation indicators are gradually established after the analysis and comparison of the co-word network. Then the three-level evaluation indicators are produced. The aim is to make a preliminary step in the evaluation research on the nationwide science popularization service in colleges and universities with the pilot demonstration, theoretical model, index system and operational tools.

Based on the DIIS framework and the theory of communication effect, this paper proposed a theoretical model of the effect path of science communication on the cognition (reputation, association, perceived quality, trust)- attitude (satisfaction)- behavior (loyalty) of college students on scientific research institutions. Taking Chinese Academy of Sciences as an example, a questionnaire survey was adopted to collect data and a structural equation model was established to verify the theoretical model. The results showed that science communication has significant positive effects on the behavior of college students through four effect paths. According to their effect, from strong to weak, they are “science communication, perceived quality, satisfaction, loyalty”, “science communication, trust, satisfaction, loyalty”, “science communication, association, loyalty”, “science communication, association, satisfaction, loyalty”.