bluuebunny/crossref_metadata_2025_split huggingface dataset:
Aggregate‐Level Analysis of Information Behavior: A Study of Public Library Book Circulation
Authors: Lee Myeong , Lee Jongwook , Kang Woojin , Oh Sanghee 
Published: October 2023

ABSTRACTInformation behavior research to date has mainly focused specific cases or representative surveys at the individual level, because each individual has unique contexts that shape their behavior. However, they have not fully benefited from aggregate‐level analyses due to mainstream theories' focus on a contextualized understanding of information. To address this gap, we adopt the theory of local information landscapes, that focuses on the material aspects of community dynamics, and analyze national‐level aggregate data on book circulations in public libraries across South Korea. By examining the relationship between socioeconomic status and public library book circulation, we discuss the potential to develop scalable theories and relevant data‐driven approaches in information behavior research.
Coactive Vicarious Learning in Danmaku Contexts: A New Perspective of Informal Learning
Authors: Li Jinhao , Zhao Yuxiang (Chris) , Zhang Yan , Ye Xujie 
Published: October 2023

ABSTRACTVicarious learning (VL), a concept widely explored in organizational behavior, has also received attention in social media research in recent years. Compared to live streaming e‐commerce and online communities, less VL has been studied based on danmaku, an instant commentary in video sites. We consider the characteristics of human information interaction in danmaku contexts and focus on exploring the core elements of coactive vicarious learning (CVL), where five core elements are identified. We will explore the influencing factors through content analysis and semi‐structured interviews. And a preliminary conceptual framework of CVL experience in danmaku contexts will try to be brought out for future empirical investigation.
Linking Allusion Words: A Method of Combining Fine‐Grained Co‐citation Relationship and Semantic Features
Authors: Li Xiaomin , Wang Hao , Qiu Jingwen 
Published: October 2023

ABSTRACTIt is a common phenomenon for Tang poems to cite the allusions, which can generate a rich relationship network. However, insufficient attention has been paid to investigating the relationship network. To address the research gap, by employing theories and methods of information science, this study presents a method of combining fine‐grained co‐citation relationship and semantic features to link allusion words. We constructed a fine‐grained co‐citation network between allusion words by adding cited positions and sentiments. We then transformed the fine‐grained weights into relational similarities. Moreover, we also leveraged the explanatory text as semantic information for each allusion word, mapping the semantic embedding vectors and calculating the similarities as the semantic similarities. Finally, we applied the link prediction algorithm to implement the allusion word linking. Our experimental results reveal that adding the cited positions and sentiments as well as semantic similarities can improve the performance of allusion word linking, achieving 0.869 on score. Additionally, we explore the linking results from the perspective of the shortest path and find some regular knowledge. Overall, our study extends the application of information science and promotes the development of Chinese traditional cultural resources.
Exploring Humanities Researchers' Perceptions of “Data”: A Phenomenological Approach
Authors: Lin Chi‐Shiou 
Published: October 2023

ABSTRACTThis poster reports on the preliminary findings of a phenomenological investigation of humanities researchers' perceptions of “data” to develop workable strategies for future collection and curation of research materials used for humanities research. An archival approach is proposed to curate individual humanities researchers' research materials.
The Longitudinal Relationship Between Negative Emotions and Pandemic Protective Behaviors in Older Adults: Moderating Effect of Online Health Information Seeking
Authors: Liu Tianchang , Song Xiaokang , Zhu Qinghua 
Published: October 2023

ABSTRACTThe aim of this study is to investigate the reciprocal relationship between negative emotions and protective behaviors of older adults and the moderating effect of online health information seeking (OHIS) change on the relationship. Based on a sample of over 20,000 individuals from the Survey of Health, Ageing and Retirement in Europe project, the study used a cross‐lagged panel design(CLPD) on 2 waves of Corona Survey to analyze the relationship between negative emotions and protective behaviors with OHIS change as a moderator. The findings suggest that the number of negative emotions can positively predict protective behaviors, and OHIS can have moderating effects on negative emotions and protective behaviors. The result pinpoints the substantial potential of mental health and OHIS to combat infectious diseases in this vulnerable population.
“Have a Flare with Me!”: Disability Storytelling on TikTok
Authors: Lundy Morgan 
Published: October 2023

ABSTRACTPeople with shared health conditions, including contested conditions like central sensitivity syndromes (CSSs), are utilizing TikTok to both seek and tell visual illness stories—and to co‐create health information in creative, mimetic, and platform‐specific ways. This poster presents results from a pilot qualitative content analysis study of 100 TikTok videos and comments by people personally experiencing #fibromyalgia, a pilot codesign session with a CSS TikTok community member, and late breaking results from a dissertation in progress. These studies are the first stages in the goal to understand and support these embodied, creative, and often‐collective storytelling abilities, necessary within the CSS community experiencing invisibility, stigma, and difficult diagnoses. The visual poster format enables discussion, with examples of TikTok videos illustrating 7 identified themes, iconographic elements, and examples of reoccurring creative choices and collective storytelling features. Last, of broader interest in our field, this poster presents methodological challenges and sparks for discussion of best methods for TikTok research, including: (1) a novel sampling approach addressing gaps in current research and the slippery definition of TikTok communities, (2) a brief description of preliminary codesign findings and the method's promise in this domain, and (3) discussion of critical disability studies perspectives guiding this research.
What Should I Believe In? This Is about My Child's Health! Exploring Information Behavior and Attitudes towards Vaccination: A Comparative Study of Polish and Ukrainian Parents
Authors: Mierzecka Anna , Brylska Karolina , Gromova Anna , Łączyński Marcin 
Published: October 2023

ABSTRACTThis study delves into the realm of information behavior research, examining the attitudes and information‐seeking patterns of Polish and Ukrainian parents regarding vaccination. Amidst rising vaccine skepticism globally, understanding how individuals acquire and evaluate information about vaccinations is crucial for effective public health communication. Through in‐depth interviews and surveys, the study examines how parents acquire information about vaccinations, evaluate the credibility of this information, and identify cognitive authorities that enhance information credibility. Preliminary findings demonstrate distinct information‐seeking strategies between pro‐vaccination and skeptical parents. Parents in favor of vaccination tend to rely on a single source, typically their doctor, emphasizing the authority associated with their role. In contrast, skeptical parents consult various sources, prioritizing close personal relationships and shared experiences. In contrast, skeptical parents consult various sources, prioritizing close personal relationships and shared experiences. Moreover, opponents of vaccination exhibit a stronger affective dimension when assessing source credibility. The study also highlights the distinctive use of books and articles among vaccine opponents, despite their general mistrust of science. This study contributes to the field of information behavior research, offering insights into parental information‐seeking dynamics, and their implications for public health policy and communication strategies.
Artificial Intelligence Mediating the Everyday Information Practices of Young People
Authors: Nygård Tuula , Huttunen Aira , Hirvonen Noora 
Published: October 2023

ABSTRACTArtificial intelligence (AI) technologies shape the ways information is created, delivered, accessed, evaluated, and used, but empirical research on AI and human information practices has remained scarce. This study makes use of a nexus analytic research strategy and co‐research methods to study AI systems in the everyday lives of young people with an emphasis on the information practices that are reshaped due to the use of these technologies. The overall aim is to better understand how AI systems mediate young people's information practices and thereupon shape their autonomy, wellbeing, possibilities to participate in society, and access to rights. The empirical research will engage young Finnish people in meaningful conversations about their everyday encounters with AI systems and, using co‐research methods, explore these interactions in their information environments and in connection to their practices, agency, and identities.
Measuring Citizen's Perceptions of AI Adoption for Instrumental and Value‐Added Tasks
Authors: Park Min Sook , Bak Hyerin , Park Hyejin , Kim Hyejin 
Published: October 2023

ABSTRACTThis preliminary study reports citizens' perceptions of using artificial intelligence (AI) in instrumental and value‐added decision‐making. We analyzed 5,153 responses from the Pew Research Center's American Trends Panel Survey, collected in 2021. The findings suggest that concerns outweigh excitement when it comes to adopting AI systems for complex value‐added decisions while they welcome AI systems for instrumental tasks on behalf of humans.
Scientific Knowledge Production and Artificial Intelligence for Healthcare: A Scientometric View
Authors: Qin Hongyi , Cai Xiaojing , Yuan Weikang , Huang Cui , Luo Siqi 
Published: October 2023

ABSTRACTThis study employs a scientometric approach to shed light on the evolving intellectual structure of AI in healthcare (AIH) research. The results substantiate the multi‐layered nature of knowledge production within the AIH domain, comprising the foundation, technology, and application layers. The application layer has witnessed a notable expansion in both its scope and depth, encompassing diverse areas including medical image analysis, data analysis and mining, decision support systems, and intelligence assistance. Additionally, a significant shift has occurred in its knowledge production process, wherein the conventional reliance on empiricism has been augmented by the incorporation of datafied innovation. This process of datafication has enriched the empirical underpinnings of AIH research, fostering a more comprehensive and evidence‐based approach to knowledge production.
A FAIR Data Ecosystem for Science of Science
Authors: Qin Jian , Bratt Sarah , Hemsley Jeff , Smith Alexander , Liu Qiaoyi 
Published: October 2023

ABSTRACTThis poster discusses Automated Research Workflows (ARWs) in the context of a FAIR data ecosystem for the science of science research. We offer a conceptual discussion from the point of view of information science and technology using several cases of “data problems” in the science of science research to illustrate the characteristics and expectations for designers and developers of a FAIR data ecosystem. Drawing from a 10‐year data science project developing GenBank metadata workflows, we incorporate the ideas of ARWs into the FAIR data ecosystem discussion to set a broader context and increase generalizability. Researchers can use these as a guide for their data science projects to automate research workflows in the science of science domain and beyond.
Putting the User in the Loop: Developing a Research Infrastructure for Social Sciences and Humanities Research
Authors: Sendra Anna , Late Elina , Kumpulainen Sanna 
Published: October 2023

ABSTRACTThe development of research infrastructures (RIs) for social sciences and humanities (SSH) research is still incipient. Few of the existing facilities face several challenges that complicate researchers' interactions with RIs and its digital tools and materials. This study explores the creation of an information service for conducting data‐intensive SSH research by placing the end‐user at the center. Particularly, the study investigated what factors affect the development of the RI and if this process is integrating all the information needs of end‐users, putting a special focus on how these facilities should be evaluated. A qualitative analysis of 13 semi‐structured interviews with SSH scholars and computer/data scientists revealed three themes: developing a RI, needs and expectations of the RI, relationship with user feedback and user interactions. Based on our findings, we were able to raise several design implications to create more successful and sustainable information services for supporting SSH research processes.
Analysis of UK Science Data Ethics Policy: Structure, Content and Governance Network
Authors: Si Li , Liu Xianrui 
Published: October 2023

ABSTRACTThis study uses the UK as an example to explore the structure, content and governance network of scientific data ethics policies. Adopting grounded theory (GT) and Social Network Analysis (SNA), Nvivo12 is used to analyze and summarize the structure and content of scientific data ethics policy, and Ucinet and Netdraw are used to map governance network reflected in policy. Results indicate that the structure covers governance context, subject and measure. The content of governance context contains context description and data ethics issues analysis. Governance subject consists of defining subjects and facilitating their collaboration. Governance measure includes governance guidance and ethics governance initiatives in the data lifecycle. Governance network indicates that research institution plays a central role in ethics governance and the core of the governance content are ethics governance initiatives and governance guidance.
Public Library Innovation Inside Out
Authors: Sinn Donghee , Kim Sujin , Syn Sue Yeon 
Published: October 2023

ABSTRACTThis poster presents public library innovations during the Covid‐19 pandemic. Many public libraries quickly adapted to the pandemic environment, changing and improving their operations and services to meet the new challenges and demands from their users. We collected two datasets to investigate these innovations: the first dataset comprised 751 tweets from the 12 largest public libraries in the U.S., and the second dataset included 72 articles from 3 major professional magazines. These datasets were analyzed to identify innovative services provided between 2020 and 2021. A rigorous content analysis involving multiple coders was conducted. The findings from both datasets highlight that public libraries quickly changed their service delivery modes and implemented diverse innovative services to bridge the digital divide, support health and technology literacy, and help with unemployment and career development. Libraries made efforts to reach out to their communities during lockdowns and also served as community education centers during difficult times, combating with misinformation and focusing on assisting marginalized populations. Additionally, the magazine articles introduced innovative services that pertained not only to user services but also to internal operations within public libraries.
Chinese‐Tibetan Bilingual Knowledge Organization in the Cultural Heritage Domain: A Practice for Traditional Tibetan Festivals
Authors: Sun Guoye , Deng Yuyang , Liang Shaobo , Wu Dan 
Published: October 2023

ABSTRACTThe trend of multilingualism in the web environment has put new demands on the digitization of cultural heritage. However, minority languages in cultural heritage have received little attention in China. This study selects traditional Tibetan festivals, a representative minority cultural heritage in China. Based on constructing a Chinese‐Tibetan bilingual ontology, the cultural and tourism data of Tibet are linked. By further constructing a knowledge graph, a Chinese‐Tibetan Bilingual Tibetan cultural service platform with traditional Tibetan festivals as the core is established.
Supporting Early Literacy in Public Libraries: A Meta‐ethnography of Qualitative Studies
Authors: Sung Hui‐Yun , Tsai Tien‐I 
Published: October 2023

ABSTRACTThis study reviewed qualitative studies that focused on library practices for supporting early literacy development. A meta‐ethnography approach was used to locate, evaluate, and synthesize the findings of these studies. Based on a search in the Web of Science and a nationwide database developed by the National Central Library, 16 articles were included in the synthesis. Drawing upon Bronfenbrenner's ecological systems theory, the findings identified five key themes (i.e., diverse collections, innovative activities, proactive intermediary role of librarians, print‐full environment, and community partnership) related to library practices that support early literacy. By interpreting the findings of the review, suggestions and implications were discussed for library services supporting early literacy.
Comparative Analysis of AI Applications in Libraries: A Systematic Literature Review
Authors: Tang Zhenyi , Zhang Pengyi 
Published: October 2023

ABSTRACTThe application of AI(artificial intelligence) in libraries is not only the result of the development of technology, but also the choice of libraries to improve their service. However, how to better integrate libraries and AI still needs further exploration, and libraries also need guidance in implementing AI technology. This study uses a systematic literature review method to analyze the literature on the application of AI in libraries published before 2023. Based on sorting out the application of AI in libraries, this paper summarizes and analyzes the practice and attitudes of applying AI in libraries. We find that there is a broad prospect of AI applications in libraries, but the current application is scattered and lacks a comprehensive view. There are different attitudes towards the application of AI in libraries and it is important to learn about different views.
Shifting Roles of Citizen Scientists Accelerates High‐Quality Data Collection for Climate Change Research
Authors: Van Hyning Victoria , Bibeault Britney , Purves Michael , Heikes Randi 
Published: October 2023

ABSTRACTWe are a team of citizen science volunteers and academics presenting a case study about how long‐serving Old Weather (OW) project volunteers left the leading citizen science platform, Zooniverse.org, and created their own opensource transcription tool to capture meteorological data from historic ship logbooks, for climate science. This project, built in LibreOffice Calc (hereafter LOC‐OW) marks a transition from a hierarchical model of crowdsourcing to a co‐productive model in which the roles of the volunteers and the original project owners shifted, the volunteers gained expertise and developed a sense of ownership over the data production tools and process.
New Online Form of Activity Organization in Promoting Cultural Participation: Evidence from Parent–child Activities by Jiading Library
Authors: Wei Jingzhu , Zhang Tongrui 
Published: October 2023

ABSTRACTThe ICT advancement and people's increasing cultural needs have stimulated China's online form of cultural activity organization. With highlights on such a new trend, this paper analyzes the impact of the newly‐invented online activity organization form on the participation ratio of parent–child cultural activities, which are vital in China's public cultural service system. Regression analysis indicates that the online activity organization form reduces the impact of limited available tickets and web browsing. It also relaxes the special time limit for public participation. Such an online form of activity organization deserves further attention considering its flexibility and convenience valued by the public.
HERU Ontology for Linking Chinese Classics Texts and its Commentaries
Authors: Weng Mengjuan , Hou Xilong , Lei Jueying , Wang Xiaoguang 
Published: October 2023

ABSTRACTCommentaries are derivative texts formed by commentators' interpretations of classics texts, which not only reflect the commentators' understanding and values in their era but also play an irreplaceable role in contemporary people's understanding of classics texts. At present, the literature in which commentaries are written collected by the library is organized in commentator‐centered and it is difficult to efficiently collect all the commentaries of the same classic texts and analyze the citations in the annotation texts. The development of Semantic Web technology has changed the way of knowledge representation and provided new ideas and methods for the organization and sharing of commentaries. We use the seven‐step method to design the HERU ontology. Finally, we conduct a semantic annotation experiment using some commentaries of the Analects of Confucius as an example to illustrate the practicality of the ontology in constructing annotation diachronic evolution and citation data. This study is of great significance to the inheritance and interpretation of Chinese classics and has reference significance for the semantic management between classic texts and their commentaries in other countries.
Making Sense of Responders' Evaluations of Question Answerability from Academic Q&A Sites
Authors: Wu Qian , Lee Chei Sian , Goh Dion Hoe‐Lian 
Published: October 2023

ABSTRACTIn academic Q&A, question cues are characteristics of natural language for responders to understand askers' needs. However, knowledge is limited concerning responders' answerability evaluations which could be influenced by question cues (e.g., emotional expressiveness, complexity) and topic types. To address the gap, this research conducted an experiment to investigate how different question cues and topic types influence evaluations of question answerability. Sentiment analyses were conducted to assess responders' evaluations of question answerability. Results showed that responders favored answering complex questions rather than simple ones. Responders also held more divergent opinions regarding whether to answer STEM questions with different cues while holding a more inclusive answerability evaluation of non‐STEM questions.
Unlocking Privacy Paradox in Social Media from a Configurational Perspective
Authors: Yang Ruoxi , Chen Xiaoyu , Fu Shaoxiong 
Published: October 2023

ABSTRACTBased on the privacy calculus theory, users’ decision‐making on privacy disclosure was traditionally viewed as a trade‐off between perceived values and privacy concerns. However, recent studies suggest that the impacts of users’ cognitive style and platform trust cannot be ignored in the context of social media platforms. From a configurational perspective, this study explores how these factors collectively affect users’ privacy disclosure. Data from 452 respondents on a Chinese social media platform were collected through an online survey. The results suggested that users’ decision‐making on privacy disclosure in social media is a complex process involving different configurations. For field‐dependent individuals, the trade‐off between perceived values and privacy concerns is less important than the role of cognitive style. For field‐independent individuals, beyond the trade‐off between perceived values in different dimensions and privacy concerns, their decisions are also contingent on platform trust.