bluuebunny/crossref_metadata_2025_split huggingface dataset:
Information Sharing for Academic Purposes: A Mixed Method Investigation into the Use of Social Networking Tools for Learning among Undergraduate Students at Kuwait University
Authors: Alsaeedi Farraj 
Published: October 2023

ABSTRACTThis study uses an exploratory, sequential mixed method design to explore how Kuwaiti students share academic information using social media. Phase I involved in‐depth, semi‐structured interviews with 12 undergraduates; in Phase II, 683 students completed online questionnaires. Extensive use of social media, especially WhatsApp groups, was discovered, and the main patterns were providing information, exchanging information, and non‐sharing. Before sharing, students evaluated information accuracy, provided instructions, and reviewed information with others. Motivations for sharing were enjoyment in helping others, mutual interest, enhancing one's reputation, and reciprocity; reasons for non‐sharing included self‐doubt, fear of information being used for cheating, and competition. Class news, summaries, class notes and materials were shared for group projects, written assignments, presentations, and exams. Online leering used during COVID‐19 accelerated sharing behaviors, and older students shared more actively and in more diverse patterns. A new conceptual model was drawn to explain these complex behaviors, and recommendations were provided for supporting them.
Using Critical Race Theory to Inform a Multi‐Session Information Literacy Workshop Series for First‐Year Students of Color
Authors: Ball Heather 
Published: October 2023

ABSTRACTThis research investigates individualized information literacy instruction (ILI) for different student populations in higher education and its impact on engagement and student learning outcomes (SLOs), specifically first‐year students of color. The study is designed as a QUAL+quan convergent mixed‐methods study, and utilizes critical race theory as its theoretical framework, as well as a participatory action research approach. It is designed as a multi‐session IL workshop series delivered outside of the traditional classroom, and is comprised of six one‐hour sessions: an initial focus group, four IL sessions focusing on specific aspects of the research process, and semi‐structured interviews. Data collected through discussions, open‐ended worksheets with rubrics, and pre‐ and post‐surveys are analyzed to measure whether the instructional series impacted SLOs, and is significant as it's the first to specifically address the systemic racial achievement gap coupled with a multi‐session IL workshop series, and can serve as a model for other institutions.
The COVID‐19 Pandemic's Impact on Credibility of Health Sources Among Undergraduate Students
Authors: Bowen‐Ziecheck Aaron , Bartlett Joan C. 
Published: October 2023

ABSTRACTThe following poster reports the preliminary results of a comparison between a 2017 survey on health information and the same survey administered in 2023. The primary research question is: How did the COVID‐19 pandemic impact undergraduate students' judgement of credibility in health information sources? Recent research has shown that student health information seeking has changed around the COVID‐19 pandemic. However, the research has not noted whether the pandemic has had a lasting impact on credibility of sources during health information seeking at the presumptive tail end of the pandemic in 2023. The original study in 2017 surveyed the undergraduate population of McGill University. The same survey was readministered in 2023, with COVID‐19 specific questions added. The preliminary analysis suggests that the COVID‐19 pandemic impacted students' judgement of credibility in health information sources. There were negative changes in the perceived credibility of family/friends, well‐known websites, wiki, blogs/forums, and social media for both everyday life health and COVID‐19 information from 2017 to 2023. Conversely, government/university, scholarly books/journals, and TV/radio all saw increases in perceived credibility for both everyday life health and COVID‐19 information.
Productivity and Institutional Mobility of Recipients of Sloan Research Fellowships during Their Academic Career
Authors: Chang Yu‐Wei , Ling Cheng Min 
Published: October 2023

ABSTRACTThis study determined that 18.6% of 199 recipients of Sloan Research Fellowships in Mathematics between 1955 to 1979 did not change institutions during the first 40 years of their academic careers after obtaining a doctor of philosophy degree. The results indicated no significant difference in the average productivity per researcher when they were categorized by their number of home institutions. However, average productivity differed significantly between recipients with and without international mobility. The results indicated an increasing trend in annual average productivity for all groups of researchers with international mobility except for researchers with one home institution. The inconsistent findings for the four main groups merit further investigation of the relationships between the number of home institutions, international mobility status, and productivity.
Considering the Role of Information and Context in Promoting Health‐Related Behavioral Change
Authors: Chen Annie T. , Johnny Shana , Chaliparambil Rahul , Wong Sharon , Glass Joseph E. 
Published: October 2023

ABSTRACTThis poster considers the role that information and context may play in health management. We employ a well‐known taxonomy of techniques for promoting behavioral change to consider how social media authors describe their recovery from substance use. We harvest discussion posts from subreddits, or discussion forums, about alcohol, cannabis, and opioids, and perform content analysis to identify behavioral change techniques (BCTs) described in the content. We then consider the role that the context of information use plays in these BCTs, as well as how interventions and technologies might be leveraged to better support the recovery process.
Flipping Vs. Scrolling in Digital Narratives: Reader Engagement and Reading Patterns in Comic Layouts
Authors: Chen Ching‐Shiuan , Lin Yu‐Jie , Jeng Wei 
Published: October 2023

ABSTRACTThis study investigates the impact of digital reading patterns on comics, specifically examining page‐by‐page and scrolling formats. We compare the unique layout characteristics of each format and scrutinize the level of reader engagement elicited by these two distinct types of comics. In this study, we conducted a between‐subject, eye‐tracking experiment and the following semi‐structured interviews with 20 reader participants. Results highlighted that readers of page‐by‐page comics scan quickly, while scrolling comics require navigating through each panel. The research concludes that page‐by‐page comics enhance reading efficiency but increase cognitive burden, while scrolling comics provide more breathing room but may seem redundant. These findings contribute to understanding reader perspectives on comics reading behaviors, providing insights for the digital transformation of the comic industry.
How We Study Disabled People in LIS Research Area: A Systematic Content Analysis
Authors: Cheng Chia‐Wen , Lin Weijane 
Published: October 2023

ABSTRACTThis study aims to investigate the topics regarding disabled people in library and information science research areas through systematic content analysis, with the intention to profile the critical issue of accessibility and its development in LIS research and practices. 330 research papers in LISA published during 2011–2021 were collected and analyzed to understand the distribution of the research topics, subjects, methodologies, and findings about disabled people. The results showed an extended period of user‐oriented research concerns yet very little exploration of service framework issues of policies, legislation, and technical services, in actual practices. Based on the results, specific and necessary research topics and issues were identified for future studies.
What Is the Process of Data Practitioners Utilizing Open Government Data?
Authors: Cheng Wei‐Chung , Chiu Ming‐Hsin Phoebe 
Published: October 2023

ABSTRACTOpen 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

ABSTRACTThis 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

ABSTRACTWhile 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

ABSTRACTInformation 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

ABSTRACTThis 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

ABSTRACTThe 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

ABSTRACTDrug–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

ABSTRACTIn 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

ABSTRACTData 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

ABSTRACTThe 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

ABSTRACTIntroduced 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

ABSTRACTExamining 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

ABSTRACTData 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.