bluuebunny/crossref_metadata_2025 huggingface dataset:
What Is the Process of Data Practitioners Utilizing Open Government Data?
Authors: Cheng Wei‐Chung , Chiu Ming‐Hsin Phoebe
Published: October 2023

Open Government Data (OGD) plays a crucial role in enhancing governance transparency, fostering civic engagement, and fostering collaboration between the public and private sectors. To effectively promote the development of the OGD Movement in Taiwan from a pragmatic perspective, this research employs a qualitative approach to investigate the behaviors of 35 data practitioners, drawing upon the principles of grounded theory. The findings reveal that OGD practitioners' behavioral patterns can be categorized into seven distinct phases, namely “Requirement Analysis,” “Functionality Design,” “OGD Awareness,” “OGD Access,” “Data Cleansing,” “Implementation,” and “Optimization and Maintenance.” Additionally, this study identifies “OGD quality” and “Interaction with the government” as critical factors influencing the data practitioners' developmental process. In conclusion, the research presents specific recommendations to enhance the OGD utilization environment and provides directions for further research endeavors.
Preliminary Findings on Developing a Scale for Credibility Assessment on Interactive Web Platforms
Authors: Choi Wonchan , Zhu Liya
Published: October 2023

This poster introduces an ongoing project to develop a scale for measuring information credibility on current and newly emerging interactive web platforms. The poster reports on preliminary findings from an initial phase in the project to generate an item pool based on an analysis of existing scales for credibility (n = 3) and empirical studies in the library and information science literature on web credibility assessments in the social media context (n = 19). Results show that in most papers analyzed (16 of 19; 84.2%), credibility was conceptualized as a one‐dimensional construct and often measured with only one item (e.g., credible, believable), despite the common view among scholars that credibility is a high‐level, multifaceted concept. The analysis also identified 59 semantically distinct items as an initial pool, which will be validated and tested with empirical data in subsequent project phases.
An Instructional Binary: Analyzing How Accessibility Is Taught in Graduate‐Level Library and Information Science Programs
Authors: Dorman Evan J. , Mallary Kevin J. , Nikiema Jackie
Published: October 2023

While accessibility is a core value of the American Library Association (ALA) and represents an important factor in striving for diversity, equity, inclusion, accessibility, and social justice (DEIASJ), coverage of accessibility varies widely in programs intended to equip future LIS professionals to serve patrons with disabilities. This poster presents preliminary findings from a larger research project examining library and information science curricula at 77 North American colleges and universities. Through thematic analysis of course descriptions and syllabi, the researchers found that digital topics in accessibility are addressed more frequently than physical ones. Further, LIS curricula largely overlook the needs of disabled patrons when covering accessibility. These factors present challenges for future LIS professionals serving patrons with disabilities.
Triangulation of Information about Cannabis Consumption during Pregnancy and Lactation amidst a Shifting Policy Environment
Authors: Greyson Devon , Mulder Maria , Mniszak Caroline , English Faith
Published: October 2023

Information triangulation is a complex practice involving seeking and assessment. Although a newer model, it has begun to be tested and expanded in subsequent research. This poster presents early results of a study of the information triangulation of 23 pregnant and postpartum people in Massachusetts, USA, who were making decisions about cannabis use. Interview transcripts and notes were analyzed using reflexive thematic analysis, in an emic‐etic approach, and findings were compared against the six previously identified types of information triangulation. All six types were evident, although specific source types and pathways differed among populations. Further, participants described both explicit weighing of sources against each other and heuristics they used to determine source credibility.
Funding or Policy? Which Promotes Open Access Publication?
Authors: Hadad Shlomit , Aharony Noa , Raban Daphne R.
Published: October 2023

This study focused on analyzing funded scientific publications by Israeli researchers from 2010 to 2020 in open access (OA). Based on the bibliometric investigation using the Scopus database, it was observed that the proportion of funded publications in OA increased over the years. Moreover, the number of funded publications in OA was significantly higher than those published in closed access. However, it is noteworthy that the number of publications receiving funding from funders with an explicit OA policy and published in OA was higher than those funded by entities without such policies. These findings suggest that while funding positively impacts OA publishing, the presence of OA policies has a more decisive influence on researchers' choices to publish in OA.
The Role of Public Libraries in Facilitating College Literacy: A Preliminary Analysis
Authors: Hands Africa S. , Candela Rose
Published: October 2023

The decision‐making process for potential college students in the United States is overwhelming because of the volume of information available and the complexity of higher education systems. Prospective students must consider institutional rankings, academic programs, and financial aid opportunities in addition to completing the numerous forms. For some students, there exist personal and professional resources to assist with navigating the process. Others with less social and cultural capital must figure out the system with little or no assistance while facing other barriers. Public libraries can be a resource for the college‐bound community; however, research shows that public libraries are not actively engaged in supporting this user group. To provide focused, quality information services to any demographic, it is important to understand the perspectives of frontline information workers. Thus, through an online survey, this study seeks to learn staff perspectives on the role of public libraries in serving prospective college students.
A Generative Drug–Drug Interaction Triplets Extraction Framework Based on Large Language Models
Authors: Hu Haotian , Yang Alex Jie , Deng Sanhong , Wang Dongbo , Song Min , Shen Si
Published: October 2023

Drug–Drug Interaction (DDI) may affect the activity and efficacy of drugs, potentially leading to diminished therapeutic effect or even serious side effects. Therefore, automatic recognition of drug entities and relations involved in DDI is of great significance for pharmaceutical and medical care. In this paper, we propose a generative DDI triplets extraction framework based on Large Language Models (LLMs). We comprehensively apply various training methods, such as In‐context learning, Instruction‐tuning, and Task‐tuning, to investigate the biomedical information extraction capabilities of GPT‐3, OPT, and LLaMA. We also introduce Low‐Rank Adaptation (LoRA) technology to significantly reduce trainable parameters. The proposed method achieves satisfactory results in DDI triplet extraction, and demonstrates strong generalization ability on similar corpus.
Patterns of Community‐Based Data in the US State‐Level COVID‐19 Dashboards: Groupings, Inconsistencies and Gaps
Authors: Hu Zhan , Zhang Yishan , Tang Rong
Published: October 2023

In this poster, we report the results of a research study examining the presence of demographic data and other community‐based data and their grouping in visualization on the COVID‐19 dashboards developed by the 50 state governments across the USA and the government of District of Columbia. It was found that while all dashboards included some level of demographic data, there is notable inconsistency in the groupings, and a very limited number of the state‐level dashboards included visualization filtering beyond the basic demographic attributes. Several dashboards included additional data grouping capabilities such as underlying health conditions, residence/business clusters, employment status, or social vulnerability index. Both the inconsistency/gaps in demographic grouping and the fact that only a handful dashboards contained further community‐based information shows the lack of awareness of state government on the importance of incorporating detailed grouping in demographic data as well as other community‐based datasets. Public health dashboards, including those reflecting emergency or crisis situations such as COVID‐19 dashboards, are in serious need to accurately, comprehensively, and inclusively represent and display the data patterns of all members of the community, especially the often overlooked and marginalized communities.
Data Paper's Functions in Scholarly Communication Ecosystem as Perceived by Natural Scientists
Authors: Huang Pao‐Pei , Jeng Wei
Published: October 2023

Data papers, a new class of scholarly publication emerging from the open‐science movement, foster data discovery and reuse by offering comprehensive descriptions of research data. Yet, despite their promising growth, the role of data papers in scholarly communication remains underexplored. This work therefore investigates the perceived contributions and functions of data papers to scholarly communication by interviewing 14 data‐paper authors operating in the field of natural science. Using conceptual frameworks adopted from Borgman (2007) and Van de Sompel et al. (2004), we identify four general functions of scholarly communication (i.e., legitimization; dissemination; access, preservation, and curation; and rewarding). Additionally, our data lead us to propose that verification is a distinct scholarly communication, underscoring the importance of data papers in validating research findings in the context of ensuring research transparency. By elucidating the crucial role that data papers now play within the scholarly communication ecosystem, this study seeks to raise the academic community's awareness of their fundamental position, as well as their co‐existence with other forms of data publication, in advancing scientific research.
Positive Ageing: How Can Public Libraries Help?
Authors: Islam Md. Anwarul , Ikeda Mitsuru
Published: October 2023

The growth rate of older adult produces demographic shift in Bangladesh. The objectives of this study is to explore how public libraries in Bangladesh can work or support for positive ageing. This study is a small part of larger survey study of the public libraries in Bangladesh. Data were collected from two open‐ended questions which were used in the larger quantitative survey. Out of 59 responses received from the public librarians, only 15 librarians responded to open‐ended questions. The answers of these two open‐ended questions were coded and analyzed. Public libraries do not offer exclusive services for the older adults but many of the general services are used by the older adults. However, public librarians have come up with significant ideas to support older people for promoting the positive ageing. Findings also focused how this helps to achieve some of the UNSDGs in the context of Bangladesh.
Bing Chat: The Future of Search Engines?
Authors: Kelly Dominique , Chen Yimin , Cornwell Sarah E. , Delellis Nicole S. , Mayhew Alex , Onaolapo Sodiq , Rubin Victoria L.
Published: October 2023

Introduced by Microsoft in February 2023, Bing Chat is a feature of the Bing search engine that integrates an OpenAI large language model (LLM) customised for search (Mehdi, 2023a). This poster compares the outputs of Bing Chat and a standard existing search engine (DuckDuckGo) in response to identical keyword queries and corresponding natural language (NL) questions. Specifically, we examined: (1) the length of Bing Chat's responses and DuckDuckGo's first page of search results, by number of website links; and, (2) the length of Bing Chat's textual summaries, by number of website links. We found that, on average, significantly fewer websites were linked to in Bing Chat's responses compared to DuckDuckGo's search results. Our findings have important implications for website operators, who may receive less traffic and ad revenue if LLM‐enabled search engines are widely adopted in the future. Human‐Computer Interaction (HCI) will inevitably face the need for more research on human information behaviours adaptations in response to the changing search paradigm.
Retaining LIS Professionals of Color: Examining Job Survival through Survival Analysis
Authors: Kim Sunha , VanScoy Amy , Crabtree Ayiana
Published: October 2023

Examining the factors influencing the decision of Library and Information Science (LIS) professionals to leave their positions, we conducted a survival analysis using the WILIS2 dataset, with a specific focus on professionals of color. In our study, we investigated the impact of the comfort level with newer technology and the perceived effectiveness of online courses during their graduate program on professionals' retention decisions, while also examining potential differential effects across racial groups. The results revealed that both the comfort level with newer technology and the perceived effectiveness of online courses were significantly positively associated with professionals' decision to stay in their positions. Importantly, we found no significant differential effects of these factors across different racial groups. These findings provide empirical support for promoting a comfortable level of technological proficiency and recognizing the value of online education as effective strategies to improve retention rates among LIS professionals, particularly those from minoritized backgrounds. Additionally, we discussed the implications of our study for Equity, Diversity, Justice, and Inclusion (EDJI) in the field, and offered suggestions for fostering an inclusive and supportive environment based on our findings.
Are We on the Same Page about Data Sharing? A Bibliometric Comparison Between Biomedicine and Information Science Literature
Authors: Lee Jian‐Sin
Published: October 2023

Data sharing has been an extensively discussed subject in both the information science and biomedicine communities. However, the two communities do not seem to speak to each other. Such an absence of exchange of perspectives can lead to siloed knowledge, duplicated work, and hindered collaboration. To uncover existing knowledge gaps, this poster depicts the bibliometric relationships between relevant literature in the fields of information science and library science (ISLS) and biomedicine and health sciences (BMHS). The findings demonstrate stronger bibliographic couplings within ISLS publications and between ISLS and multidisciplinary science publications, compared to the BMHS group. In addition, the examined ISLS and BMHS publications exhibit distinct topical foci on open science. This poster is expected to serve as a first step toward stimulating more conversations in the information science community, as well as bringing the discussions to the biomedicine community in the near future.
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

Information 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

Vicarious 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

It 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

This 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

The 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

People 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

This 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

Artificial 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

This 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

This 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

This 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

The 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

This 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

This 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

The 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

This 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

The 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

We 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

The 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

Commentaries 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

In 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

Based 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.
Emotional Intelligence in Science
Authors: Yang Yunhan , Zhang Chenwei , Ding Ying
Published: October 2023

This is the first on‐going project presenting a four‐dimension metric to identify scholars' emotional intelligence (EI), which has yet to receive much attention. Current study proposes a data‐driven metric rather than a subjective survey to reflect EI's first dimension, self‐awareness. By employing paired‐T‐tests on the DBLP dataset, we found that highly self‐aware scholars are more likely to strive to improve with higher stability, leading to higher productivity and impact. Meanwhile, they have a more significant number of higher diverse collaborators. This research highlights the importance of one's self‐awareness to his/her scientific performance.
Health Information Use of Older Adults with Diabetes: A Preliminary Analysis
Authors: Zhang Xiaoqian , Bartlett Joan C.
Published: October 2023

This poster presents research investigating the health information use of older adults with diabetes in the context of the COVID‐19 pandemic. Data were collected using semi‐structured interviews and were analyzed using thematic analysis. Results‐to‐date showed self‐reported changes in using health information during the pandemic; that is, some participants endeavored to protect themselves during the pandemic, they carefully made health‐related decisions, and they had a challenging time following their caregivers' suggestions (e.g., taking medicine and exercising) even though they knew they should. However, other participants reported no changes during the pandemic.
Drivers of the Virality of COVID‐19 Misinformation Sharing on Social Media
Authors: Zhao Yuehua , Da Jingwei , Yan Jiaqi , Wang Hao , Deng Sanhong , Chen Ye
Published: October 2023

During global health crises, identifying the key factors of the misinformation dissemination process on social media can provide decision support for public health management. Drawing on the elaboration likelihood model (ELM), this study characterizes the effects of content types and social capital of social media users on the virality of misinformation related to the COVID‐19 pandemic. We used scale, depth, and width to quantify the extent and structure of the virality of misinformation spreading on social media. The findings reveal that both the social capital of users and the content types have major influences on the dissemination of misinformation. Surprisingly, we discovered that the number of followers a user possesses has a varied influence on the dissemination scale, width, and depth, demonstrating the importance of considering dissemination structure.
A Framework for the Unsupervised and Semi-Supervised Analysis of Visual Frames
Authors: Torres Michelle
Published: October 2023

This article introduces to political science a framework to analyze the content of visual material through unsupervised and semi-supervised methods. It details the implementation of a tool from the computer vision field, the Bag of Visual Words (BoVW), for the definition and extraction of “tokens” that allow researchers to build an Image-Visual Word Matrix which emulates the Document-Term matrix in text analysis. This reduction technique is the basis for several tools familiar to social scientists, such as topic models, that permit exploratory, and semi-supervised analysis of images. The framework has gains in transparency, interpretability, and inclusion of domain knowledge with respect to other deep learning techniques. I illustrate the scope of the BoVW by conducting a novel visual structural topic model which focuses substantively on the identification of visual frames from the pictures of the migrant caravan from Central America.
Disc wind or disc line? The extraordinary Fe-K feature of Mrk 1513
Authors: Middei R. , Nardini E. , Matzeu G. A. , Bianchi S. , Braito V. , Perri M. , Puccetti S.
Published: October 2023

We discuss the origin of a very unusual spectral structure observed in the Fe-K band of the Seyfert galaxy Mrk 1513, a local (z = 0.063) active galactic nucleus (AGN) that is efficiently accreting matter onto its central supermassive black hole (Lbol/LEdd ∼ 0.5). We consider the highest quality X-ray observation of this source available to date, performed in 2003 by XMM–Newton. The hard X-ray spectrum is characterised by a remarkable spectral drop at ∼7 keV, which can be interpreted as either the onset of a broad absorption trough or the blue wing of a relativistic emission line. Overall, this complex feature is significant at > 5σ, and it is qualitatively reminiscent of a P Cygni profile. A serendipitous spectrum of lower quality taken by XMM–Newton in 2015 qualitatively confirms the presence of similar Fe-K structures. Although it is not possible to distinguish between the two physical scenarios on sheer statistical grounds with the current data, several considerations lend weight to the possibility that Mrk 1513 is actually hosting a persistent outflow at accretion-disc scales, thus adding to the select number of known AGN in which a wide-angle X-ray wind has been identified so far.
The unfulfilled promises of electronic health records
Authors: Looi Jeffrey C. L. , Kisely Steve , Allison Stephen , Bastiampillai Tarun , Maguire Paul A.
Published: October 2023

We provide a brief update on the current evidence on electronic health records’ benefits, risks, and potential harms through a rapid narrative review. Many of the promised benefits of electronic health records have not yet been realised. Electronic health records are often not user-friendly. To enhance their potential, electronic health record platforms should be continuously evaluated and enhanced by carefully considering feedback from all stakeholders.
Integrated analysis of transcriptomic and proteomic data reveals novel regulators of soybean (Glycine max) hypocotyl development
Authors: Zhang Xueliang , Shen Zhikang , Sun Xiaohu , Chen Min , Zhang Naichao
Published: October 2023

Hypocotyl elongation directly affects the seedling establishment and soil-breaking after germination. In soybean (Glycine max), the molecular mechanisms regulating hypocotyl development remain largely elusive. To decipher the regulatory landscape, we conducted proteome and transcriptome analysis of soybean hypocotyl samples at different development stages. Our results showed that during hypocotyl development, many proteins were with extreme high translation efficiency (TE) and may act as regulators. These potential regulators include multiple peroxidases and cell wall reorganisation related enzymes. Peroxidases may produce ROS including H2O2. Interestingly, exogenous H2O2 application promoted hypocotyl elongation, supporting peroxidases as regulators of hypocotyl development. However, a vast variety of proteins were shown to be with dramatically changed TE during hypocotyl development, including multiple phytochromes, plasma membrane intrinsic proteins (PIPs) and aspartic proteases. Their potential roles in hypocotyl development were confirmed by that ectopic expression of GmPHYA1 and GmPIP1-6 in Arabidopsis thaliana affected hypocotyl elongation. In addition, the promoters of these potential regulatory genes contain multiple light/gibberellin/auxin responsive elements, while the expression of some members in hypocotyls was significantly regulated by light and exogenous auxin/gibberellin. Overall, our results revealed multiple novel regulatory factors of soybean hypocotyl elongation. Further research on these regulators may lead to new approvals to improve soybean hypocotyl traits.
Biogeography and diversification of the Caribbean clade of Miconia (Melastomataceae): a Cuban origin underlies one of the largest Antillean radiations
Authors: Majure Lucas C , Bacci Lucas F , Bécquer Eldis R , Judd Walter S , Clase Teodoro , Skean J Dan , Michelangeli Fabián A
Published: October 2023

The Greater Antilles are renowned as a biodiversity hotspot and known to be geologically complex, which has led, in part, to the generation of organismal diversity in this area. One of the most species-rich montane groups within the Greater Antilles is the tribe Miconieae (Miconia s.l.) of the Melastomataceae, with ca. 325 species found there. The most diverse clade of Miconia in the Caribbean, the Caribbean clade, composes roughly half of that diversity, with an estimated 160 species, nearly all of which are endemic to the Greater Antilles. It is unclear how that diversity has been generated through time or where it originated, but we now have sufficiently well-sampled and robust datasets to test these patterns. Using a custom-built plastome dataset, we generated a robust phylogenetic hypothesis for 106 of the 160 Caribbean clade members and tested biogeographical patterns among the islands. Our results suggest that the Caribbean clade originated in the mid-Miocene, probably from a South American ancestor, and diversified substantially on the island of Cuba before repeatedly dispersing across other parts of the Greater Antilles, especially into nearby Hispaniola and then, to a lesser extent, into Jamaica, Puerto Rico and, finally, into the Lesser Antilles.