Preliminary Conference Agenda

The purpose of this study is to explore the main methods to improve the ability of college students to distinguish between true and false health information by using different educational media. The research adopts the method of experimental research and designs three groups of experiments, namely poster, text and video. Each group conducted two rounds of experiments: pre-test and post-test. 110 college students were recruited to participate in the experiment, and the experimental results were analyzed by means of paired samples t-test, independent samples t-test and ANOVA. It is found that all three educational media have significantly improved college students' ability to identify health information, especially posters, which have the greatest impact on the improvement of health information identification ability. At the same time, factors such as attention to health information and questioning have significantly affected the improvement of college students' ability to identify health information. The research results have theoretical and practical significance on how to carry out health information literacy education for college students and how to improve their health information literacy.

This article presents a systematic literature review of the impact of AI writing as-sistant tools on education over the past decade. Utilizing keyword searches in Scopus and Web of Science databases, we initially identified 1191 relevant doc-uments, ultimately narrowing it down to 112 for analysis. To discern prevailing research trends, these documents were categorized by geography, impact on writ-ing and research direction (Automated Writing Evaluation (AWE), Automated Writing Feedback (AWCF), and Automated text generation (ATG)). The results indicate that research in this field reached its peak in 2022-2023, marked by a sudden increase in ATG, particularly concerning ChatGPT. Leading scholars in the AI-writing fields are predominantly based in the United States and China. In terms of educational impact, the overall sentiment is positive, particularly with re-spect to the use of AWE and AWCF, which have proven effective in enhancing writing quality and efficiency. Notably, among all types of AI assistants, ATG has raised most ethical concerns, including issues related to data bias, privacy, and academic integrity. Future research should consider examining the impact of AI assistants on writing in non-academic contexts and addressing urgent issues surrounding the use of ATG in education.

In recent years, Web-based Augmented Reality (WebAR) has emerged as a transformative technology with significant implications for the preservation, interpretation, and dissemination of cultural heritage. This paper investigated the embodied interaction with digital cultural heritage utilizing WebAR technology, with the iMDC Vision Project in Inner Mongolia as a case study site. We conducted semi-structured interviews with both project developers and digital cultural collection users. The thematic analysis approach is used to guide the qualitative data analysis process. Based on the thematic analysis of data, this study proposes an integrated framework for an embodied interactive experience of cultural heritage through WebAR.

This study compared the publishing preferences of two main groups of prolific authors from the fields of philosophy and literature for the years 2001– 2020. Specifically, the top 100 prolific authors of philosophy journal articles, literature journal articles, philosophy book chapters, and literature book chapters were identified and analyzed. The results indicated that the prolific authors of works related to philosophy and literature tended not to engage in co-authorship. The prolific article authors from both fields primarily published articles in journals that corresponded to their respective fields and were affiliated with institutes that corresponded to their respective fields. The prolific book chapter authors (PBCAs) primarily published book chapters; however, most of the PBCAs from the field of philosophy were affiliated with non-philosophy university departments, whereas most of the PBCAs from the field of literature were affiliated with literature-related university departments. This finding indicates that prolific authors from different fields of humanities exhibit different preferences with re- spect to publication format. Some humanities researchers do not place a high value on journal articles. Because a considerable number of prolific authors also published books, our results suggest that focusing on only journal articles is in- adequate for exploring the characteristics of humanities publications. Therefore, future studies should investigate why these authors are highly productive even though they do not exhibit a preference for co-authorship.

Understanding public opinion on social media is vital for developing evidence-based interventions that drive positive change in global Covid-19 vaccination efforts. This ongoing study thus addresses the public opinion shifting on Twitter through the analysis of over 200k users engaged in online discussions related to the Covid-19 vaccine. We then operationalize opinion shifting in three dimensions: word 1-grams shifting, topic shifting and sentiment shifting. Day-scale usage frequency distributions for 1-grams are compared by rank turbulence divergence and the Mann-Kendall Mutation analysis is applied to determine the discussion shift based on the divergence score per two days. Text analysis methods are employed for topic clustering and sentiment analysis on tweets. Based on analyzing users' topic shifting, we explore opinion shifting from their sentiment changes on a topic. Our findings indicate that more than half of the social media users experience vaccine-related topic shifting. Users who experience topic shifting and who focus on a single topic have slightly different patterns of sentiment shifting when they hold the same sentiment on a topic. Individuals who focus on a single topic tend to experience increased sentiment polarization toward a particular sentiment direction over time.

Digital humanities (DH) is an evolving field fostering interdisciplinary col-laboration, with an impressive engagement of library and information sci-ence (LIS). To assess how DH is situated in the academic landscape and bridge the gap between DH and LIS, it is essential to undertake a comprehen-sive global investigation of the DH community, thereby gaining insights into its current identity. In this study, we examined the scholar composition of 129 digital humanities centers (DHCs) under a disciplinary classification scheme, and further explored the characteristics of the global DH community using methods of diversity measures and community detection. Our findings reveal that beyond traditional humanities, a diverse range of disciplines con-tributes to DH research and practice. Particularly noteworthy are the roles played by LIS and computer science, serving as two main sources of compu-tational expertise. Based on the congruence of community identities, it is im-perative for LIS, who has established a prominent presence within the DH field, to proactively connect to and embrace DH as a vital source of growth in its own domain.