bluuebunny/crossref_metadata_2025 huggingface dataset:
“One Video Could Start a War”: A Qualitative Interview Study of Public Perceptions of Deepfake Technology
Authors: Verma Nitin
Published: October 2024

What is the public's perception of deepfake technology's impact on society? This study reports findings from a reflexive thematic analysis of qualitative interviews with 33 US adults. Among the themes that represent participants' perception of the technology's impact on society, the following most salient themes are reported: increase in political misinformation; increased political and ideological polarization of society; increase in the number of conspiratorial videos; increased potential of harm to marginalized groups and individuals; and children's vulnerability to being deceived via deepfakes. In addition, a summary theme collating public perspectives on positive implications of deepfake technology is presented. This study lays the groundwork for further qualitative and quantitative investigations of deepfake technology's impact on society as understood from the perspective of society's foremost constituents—people.
An Empirical Study Evaluating ChatGPT's Performance in Generating Search Strategies for Systematic Reviews
Authors: Yu Fei , Kincaide Heather , Carlson Rebecca Beth
Published: October 2024

This study evaluated the performance of ChatGPT‐3.5 and ChatGPT‐4 in developing search strategies for systematic reviews. Using the Peer Review of Electronic Search Strategies (PRESS) framework, we employed a two‐round testing format for each version. In the first round, both versions displayed comparable competencies when assessed quantitatively by the PRESS measures. However, qualitative feedback from two professional health sciences librarians indicated that ChatGPT‐4 outperformed ChatGPT‐3.5, particularly in suggesting MeSH term inclusion and refining search strategy formulations. In the second round, prompts were refined based on the feedback from the previous round of testing. Both qualitative and quantitative evaluation results confirmed ChatGPT‐4's superiority. This study provides empirical evidence of advancements in language model capabilities, highlighting ChatGPT‐4's enhanced efficiency and accuracy in developing search strategies for systematic reviews.
Accessible Adventures: Teaching Accessibility to High School Students Through Games
Authors: Zhou Kyrie Zhixuan , Liu Chunyu , Shan Jingwen , Kletenik Devorah , Adler Rachel F.
Published: October 2024

Accessibility education has been rarely incorporated into the high school curricula. This is a missed opportunity to equip next‐generation software designers and decision‐makers with knowledge, awareness, and empathy regarding accessibility and disabilities. We taught accessibility to students (N = 93) in a midwestern high school through empathy‐driven games and interviewed three Computer Science high school teachers and one librarian who taught programming. Accessibility education is currently insufficient in high school, facing challenges such as teachers' knowledge and conflicted curriculum goals. The students exhibited increased knowledge and awareness of accessibility and empathy for people with disabilities after playing the games. With this education outreach, we aim to provide insights into teaching next‐generation software designers about accessibility by leveraging games.
Silicon‐based Life or Carbon‐based Life? An Exploratory Study on Visual Information Source Selection of Blind or Visually Impaired Persons
Authors: Chen Huitong , Yan Hui , Wu Zhaotong , Zhao Xuefeng
Published: October 2024

The development of generative AI and Large Visual‐Language Models, has the potential to overcome the reliance of blind or visually impaired (BVI) persons on human sources for visual information. Action research and semi‐structured interviews were conducted with 19 BVI persons to explore their visual information needs and source selection. This study categorizes their needs into description, navigation, and manipulation. Accessibility, credibility, and interactivity of information sources are the primary criteria for BVI persons in information source selection. When visual task demand high accurate information, BVI persons are more likely to select human information sources due to their accessibility and credibility. When tasks are less urgent and requiring less accuracy information, the use of AI information sources increases due to the special accessibility. The purpose of the study is to understand the impact of AI on BVI persons, and provide theoretical and practical insights for the development of human‐centered AI.
Ethicizing Agency in Body Documentification
Authors: Dudak Leah T. , Youngman Tyler , Appedu Sarah , Foster Brianna
Published: October 2024

While considerations of documents and data are longstanding in the tenants and practices of library and information science (LIS), the recent turn toward bodies and embodiment in the social sciences invites a critical interrogation of our assumptions about the interplay of documents, data, and bodies embedded within sociotechnical systems of power and bodily agency. In response, we begin to theorize the intersection of datafication and documentation as documentification, encapsulating how acts of datafication revoking agency results in a one‐directional superficial documentary status, producing assumptions about bodies by power systems which aim to simplify, nullify, and suppress. We initially examine documentification as it relates to practices of surveillance, BMI, and memory institutions. In doing so, we interrogate the ethical dilemmas emerging from assumptions about agency ascribed to documentified bodies. Finally, we challenge the library and information professions to imagine a world designed with putting people first that centers, rather than reduces, their agency.
Privacy Risks in the Storytelling of Open Government Data: A Study from the Perspective of User Cognitive Reasoning
Authors: Geng Ruili , Wang Yifan , Wei Qi
Published: October 2024

In recent years, there has been an increase in the openness of government data. Data storytelling has emerged as a means to enhance communication by transforming mundane data into easily understandable narratives. However, it is crucial to pay attention to privacy risks. This paper delves into the concept of storytelling government data, integrating cognitive reasoning and the S‐O‐R model, and evaluates privacy risks. Through comparative experiments and interviews, this study examines how users may infer sensitive information. The research reveals that storytelling data has a positive impact on users' cognition. De‐storytelling, on the other hand, can mitigate privacy risks, reduce information relevance, simplify narratives, and strike a balance between user experience and privacy. Building on this research, the paper proposes a strategy to address privacy risks, recommends strengthening privacy protection awareness from the perspectives of both users and platforms, optimizing data presentation methods, reducing the risk of sensitive information leakage, and ensuring the convenience and security of government data disclosure.
Making A PACT—Ethical Principles for Critical Community Informatics
Authors: Hackney S.E.
Published: October 2024

This research proposes an ethical framework for engagement with the data collected by information institutions on and about their community members, part of a field better known as community informatics. As data collection becomes a key element of library and information patron services, it is crucial that workers have experience and training in dealing with the collection and handling of data related to their patrons. The PACT framework, which stands for Power, Access, Consent, and Trust, was developed and workshopped in LIS classrooms across three ALA‐accredited programs and aims to prepare LIS students for the types of ongoing relationships and issues they will encounter working in an institutional setting. The framework is grounded in critical theory, and takes a participatory approach towards community informatics, as well as drawing on the Codes of Ethics of three major professional organizations for cultural heritage and information professionals.
A Transitional Approach to Examine the Influences of Information Practices on Lifelong Learning
Authors: Lee Chei Sian , Yeo Rachel Qing Yu , Goh Dion Hoe‐Lian , Ang Rebecca P. , Ng Betsy
Published: October 2024

Lifelong learning involves and engages learners at all stages of education and life. In particular, learning transitions, which represent phases when students advance to the next stage of an educational setting, are significant as they may trigger learning and development for lifelong learning. Research suggests that the learning transition process provides an opportunity to develop learning abilities that have long‐term consequences, including lifelong learning. The notion of information practices is thus applicable to examine the development of these abilities, as information practices refer to the routine ways in which students seek and interact with information to manage the changes in the information environment during the transition. Despite the significant role of information practices during transitions, limited work has been done to identify information practices that facilitate lifelong learning for students in learning transition. To fill this gap, this study conducted focus group discussions with forty‐two university students to investigate their transitions to university via the lens of information practices. A preliminary thematic analysis was conducted. Information use and evaluation were uncovered to shed light on the influences of information practices on lifelong learning during learning transitions.
My Child Does More Than Sit for Virtual Read‐Aloud: An Exploratory Human Pose Estimation Study
Authors: LeFebvre Luke , Jaromczyk Jerzy W. , Kellems Brandon N. , Tapia Andrew C. , Cahill Maria C. , Cole Averi B. , Joo Soohyung , Garcia Antonio R.
Published: October 2024

Virtual storytime programs supported young children and families when in‐person library services were discontinued in response to the COVID‐19 pandemic in the United States. These virtual storytimes offered via videoconferencing systems allowed for the inclusion of some in‐person storytime elements such as the librarian read‐aloud, and children are the target audience of these picturebook read‐alouds. Children's nonverbal behavior symbolizes a powerful clue as to when they are engaged with the read‐aloud story. What is unclear is how a child nonverbally engages with the storytime readings. This study shows how human pose detection software, OpenPose, was instrumented with custom Python scripts to track and code a preschooler's nonverbal behavior during a virtual storytime read‐aloud. Results demonstrate considerable nonverbal attentiveness and engagement by this child during the read‐aloud.
“Why Should We Care?”: Motivations of Public Librarians in the American South to Expand Civic Engagement for Racial Justice
Authors: Mehra Bharat , Black Kimberly , Williams‐Cockfield Kaurri C. , Jaber Baheya S.
Published: October 2024

An important aspect of human information behavior research is to understand the motivations of people as they interact with information and technologies to make a difference. This paper presents exploratory findings of a qualitative study of public librarians' motivations to expand civic engagement for racial justice in the American South. The geographical region is stereotypically characterized historically as being solely racially intolerant in public perceptions, scholarly discourse, political networks, and news media. This research challenges such limited notions, highlighting public librarian's logic‐based motivations to further civic engagement for racial justice in context of the nation's historical/contemporary racialized political climate. In the process, the authors acknowledge the voices/perspectives of public librarians, an often‐underrepresented group in privileged academic information behavior research. Thematic narrative analysis is explored as a strategic mode of presenting the findings.
Thematic Trends in Data Curation Literature
Authors: Murillo Angela P. , Yoon Ayoung
Published: October 2024

The field of data curation is rapidly changing due to new developments in technologies and techniques for conducting data work. As the field of data curation evolves, researchers, practitioners, and educators need to be able to respond to these developments. One way to understand trends in a field is by examining published literature. This study first gathered data curation literature through a modified systematic literature review with the framing question, ‘What competencies, skill sets, and proficiencies are needed to conduct data curation activities?’. These literatures were then analyzed using bibliometric analysis, visual analysis of the citation data, and topic modeling to understand trends in the data curation field.
The Role of the Practitioner in Curating LGBTQIA+ Safe Spaces in Libraries
Authors: Pierson Cameron M. , Wagner Travis L.
Published: October 2024

The LGBTQIA+ community has come under increasing hostility in the North America through policy and challenges to library holdings and funding. These challenges to professional jurisdiction have prompted renewed scrutiny of the library‐as‐institution's responsibility toward society and the LGBTQIA+ community specifically. Safe spaces for this community remains a nebulous and contested concept. This paper reports preliminary findings of conceptualizations of LGBTQIA+ safe spaces in scholarly and practitioner literature in library and information science. Undertaking a critical literature review, this work outlines conceptualizations of the librarian's role in cultivating safe spaces and contrasts the theme of safe spaces as consisting of in‐group safe spaces. This paper collocates discussions of sociocultural contexts informing the ideas within literature alongside critical appraisals of and tensions with lived experience of queer folks. Surfaced is the gap between the two bodies of knowledge and conceptual and practice‐oriented approaches to reduce this gap.
Exploring How Acquired Diversity of Teams Influences the Innovation Diffusion in Artificial Intelligence
Authors: Tang Xuli , Li Xin , Yi Ming
Published: October 2024

This study explores innovation diffusion in Artificial Intelligence (AI) over the past 70 years, focusing on the impact of acquired diversity(including discipline diversity and topic diversity) of teams. We obtained 906,065 AI papers with 18,357,761 citations written by 1,316,936 authors between 1950 and 2015 from the Microsoft Academic Graph. Using citation analysis, we examine how AI innovations spread and the influence of the acquired diversity of teams on this process. We measure innovation diffusion from four aspects: innovation speed, innovation diffusion power, innovation diffusion breadth, and innovation diffusion breadth diversity. Our findings show that: (1) AI papers published before and after 2000 demonstrate distinct diffusion patterns. AI papers published before 2000 show a bimodal citation trend, while those released after 2000 present only a single peak in citations. (2) The first citation interval can be reduced by 2.35 years before 2000 and by 0.27 years after 2000 by enhancing topic diversity. (3) Both discipline diversity and topic diversity effectively promote innovation diffusion power, innovation diffusion breadth, and innovation diffusion breadth diversity in the field of AI.
A Framework for Defining Algorithmic Fairness in the Context of Information Access
Authors: Udoh Emmanuel Sebastian , Yuan Xiaojun , Rorissa Abebe
Published: October 2024

As technologies powered by Artificial Intelligence (AI) and Machine Learning (ML) algorithms increasingly take over personal computing online and public sector domains, they simultaneously raise the promise of an extensively productive and sustainable future, as well as fears of widening inequalities, information and content divide, and a more complex information‐seeking landscape. Thus, the hopes of improved accuracy, efficiency, productivity, reduced human bias in decision‐making, and access to information are fast giving way to a trove of ethical and human rights issues with far‐reaching consequences for accountability, privacy, social justice, equity, inclusion, and informed consent, and public participation in decision‐making. Since no technology is entirely free of bias, this paper identifies algorithmic fairness as a more realistic threshold and goal. Building on findings from a previous PRISMA review of relevant literature, the paper proposes a comprehensive framework for defining algorithmic fairness in the context of information access.
Roles and Responsibilities in University‐Community Engagement for Library and Information Scientists
Authors: Bullard Julia , DeForest Heather , Detlor Brian , Ekmekcioglu Cansu , McDavid Kristina , O'Brien Heather , Shiri Ali
Published: October 2024

This panel describes innovative digital projects and services supporting university‐community engagement. Panelists will draw on their experiences as librarians and researchers collaborating with a range of constituents, including newcomers, Indigenous communities, non‐profit organization leaders, and over‐researched, low‐income communities in rural and urban settings across Canada. The panel seeks to highlight the need to foster place‐based, contextually driven approaches to university‐community engagement efforts, and the opportunities and challenges inherent in this work. Audience members will be asked to reflect on their own experiences and consider the roles and responsibilities for library and information science scholars and professionals in facilitating reciprocity and capacity building in community‐university partnerships.
Social Media and Crisis Informatics Research in LIS
Authors: Dinh Ly , Hong Lingzi , Dumas Catherine , Patin Beth , Ghosh Souvick , Li Lingyao , Khoury Christy
Published: October 2024

Crisis informatics is centrally situated within the realms of LIS research and practice, given the focus on the interconnection between information, people, and technology during disasters such as hurricanes, earthquakes, wildfires, and global health crises. However, there is yet to be a community dedicated to crisis informatics research at ASIS&T, where researchers can exchange theoretical frameworks, the latest methodologies, and collected datasets, potentially fostering long‐term collaborations. Therefore, this panel proposes to bring together scholars within LIS who have been active contributors to crisis informatics research, from multiple perspectives ranging from critical librarianship, machine learning, and human‐computer interaction (HCI), to mixed‐methods approaches. The panelists will first share their most current crisis‐related research project and how they envision their research agenda advancing crisis informatics research in the LIS community. Then, they will engage in an interactive Q&A with the audience to discuss the current state of crisis informatics research and their prospective plans for advancing the field within the LIS research and practice community. The panel will foster collaborations and contribute to the improvement of response planning and policies through evidence about how information is sought, processed, and used during crises. This panel is sponsored by SIG Social Media (SIG SM).
Embracing Ubuntu: Cultivating Inclusive Information Access in Decolonising African Information Curriculum
Authors: Laughton Paul , Holmner Marlene , Meyer Anika , Alemneh Daniel , Rorissa Abebe , Hawamdeh Suliman
Published: October 2024

Decolonising the information curriculum through the process of indigenization is a crucial process that advocates for a paradigm shift towards the integration of various political ideologies and knowledge systems in order to correct the marginalisation and exclusion that have been sustained by colonial legacies. The Ubuntu ideology offers a foundation for promoting an inclusive, people‐centered approach to curriculum development because it places an emphasis on communal values and connection. Educators can establish learning environments that support empathy, inclusivity, and cooperation while reflecting and accommodating the needs and experiences of every student by emulating the values of Ubuntu. By appreciating students' cultural origins in the information sciences, Culturally Responsive Pedagogy enhances academic engagement and equips students for a diverse global information landscape, which further supports these efforts. Collectively, these strategies seek to foster an information society that is more socially just and equitable, which is consistent with the overarching objective of guaranteeing inclusivity and fairness in education.
Ethnographic Stories in Information Science
Authors: Montague Kaitlin E. , Hartel Jenna , Greyson Devon , Fourie Ina , Tracey Pelle
Published: October 2024

Considering the conference theme “Putting People First: Responsibility, Reciprocity, and Care in Information Science Research and Practice,” this panel brings an ethnographic methodological conversation to the 2024 ASIS&T Annual Meeting. Our session emphasizes how participants' stories are one of the most human‐centered tools we have in research, highlighting how storytelling is an integral part of being human. The panelists have conducted ethnographic fieldwork in various contexts and begins with an introduction about ethnography as a form of storytelling, introducing concepts of vulnerability and reciprocity. Panelists will then reflect on ethnographic stories before turning to teaching Information Ethnography. Our session aims to broach the joys and challenges of ethnographic research by bringing a new honesty to the conversation in Information Science. We will engage the audience in open discussion, before breaking out into smaller groups, fostering an intimate, safe space to share stories about past research.
Why VR? Exploring the Intersection of Virtual Reality and Information Science
Authors: Williams Rachel D. , Dumas Catherine , Chow Anthony , Hofman Darra , MacLeod John
Published: October 2024

This 90‐minute panel is structured to provide a space for open conversation among panelists and the ASIST community to consider the role and impact of virtual reality (VR) in teaching and research in information science. In the panel, we will address two key areas, including the current landscape of VR related research in information science and why VR is a valuable tool for teaching and research. The panel will begin with speakers briefly discussing their areas of expertise. From there, the panelists will facilitate open discussion using guiding questions and open dialogue with the audience. Finally, the panel will conclude with hands‐on sessions where audience members can try out several different types of VR headsets, projects, and games.
Call for Research: Leveraging Social Networking for Modern Slavery & Human Trafficking Awareness
Authors: Allen Jeff , Zimmerman Tara
Published: October 2024

Human trafficking is a complex global issue that continues to challenge efforts aimed at raising awareness and preventing its occurrence. Overall, the literature suggests that social networking platforms have the potential to significantly enhance human trafficking awareness efforts but require careful strategy development to overcome algorithmic limitations and ensure meaningful engagement with users. Further research is needed to evaluate the long‐term impact of social networking campaigns on human trafficking awareness and prevention. This poster is an extension of a presentation at the ASIS&T Midwest Chapter Spring 2024 Symposium with the purpose of increasing attention to this important research area. This poster provides five broad research questions that can be immediately addressed by information science researchers for the purpose of increasing understanding of this devastating global issue.
Health Data Exchange: A Search Engine to Identify Health Experts
Authors: Ar Rakib Nibras , Kibria Mohammad Golam , Mostafa Javed
Published: October 2024

The study proposes and describes a novel system called the Health Data Exchange. HDX is useful for identifying relevant experts in healthcare based on specific skill sets and their cohorts. Initial experience suggests that an expert database based on biographical data can be developed. Several techniques for automatically identifying the critical data, data normalization, storage, and retrieval are described that supported the development of the system. Such a system has the potential to facilitate efficient search and foster global collaboration among healthcare experts.
Mind Over Misinformation: Investigating the Factors of Cognitive Influences in Information Acceptance
Authors: Dewan Mouly , Shah Chirag
Published: October 2024

Many scholars have tried to investigate the identification, characterization, dissemination, and prevention of misinformation in recent years. But a fundamental question that lies behind these investigations is ‘Why do people believe in a piece of information, whether true or false?’. The primary objective of this study is to understand the psychological drivers of belief systems that makes individuals believe any information prior assessing its veracity. The study specifically tries to understand cognitive biases that influence an individual's decision making about information in digital settings. Based on a quantitative survey with 41 participants, we try to induce cognitivity among the participants and try to measure the effect in their decision making. We find a major portion of our participants being cognitively induced which in turn had a significant effect on their decision making while engaging with information. Furthermore, we try to assess whether an individual's political affiliation has any effects in perceived truthfulness while engaging with political information. This study shows us how easily cognitive bias can be induced and how it affects an individual's belief structure in digital platforms.
“We Don't Have a Lot of Answers”: An Investigation of COVID Long‐Haulers' Information Needs & Practices
Authors: Downey Miranda L. , St. Jean Beth , Behre Jane , Raymond Katherine , Liu Brooke Fisher , Shi Duli
Published: October 2024

The information behaviors of people who have COVID‐19 have been well studied, however, there is a gap regarding those who experience long COVID. We conducted an exploratory mixed‐methods study to examine the information needs and practices of these COVID ‘long‐haulers’ with the intention of suggesting new health communication strategies to help people in similar health crises or future pandemics from an information standpoint. Several themes have emerged from our preliminary findings: how participants tend to define long COVID, their long COVID‐related information seeking and their difficulty with finding such information, and their experiences with discrimination and stigma. Throughout data collection, we have experienced issues with suspicious respondents (such as potential bots), though we were able to implement new criteria to determine legitimacy. Data collection and analysis is still ongoing and we expect to report additional findings in the near future.
Identifying Semantic Shift Reasons of Domain Entities Using Diachronic Embedding
Authors: Du Chenxin , Ye Chao , Chen Guo
Published: October 2024

In academic literature, the semantic evolution of scientific terms reflects the development of domain knowledge. While there have been studies using diachronic word embeddings to reveal cultural and social shifts, research on the semantic evolution of scientific terms remains limited. This paper proposes a method utilizing diachronic semantic vectors to elucidate the semantic evolution of scientific entities. Firstly, diachronic semantic vectors of entities are trained using incremental learning to compute the semantic shift (ΔA) of a given entity A between periods t1 and t2. Secondly, entities similar to ΔA in periods t1 and t2 are defined as leading reasons and accompanying reasons, respectively. The experiment result shows that the leading reasons can capture the shifts of entities in the nascent stage, and the accompanying reasons can capture the shifts of words in the mature stage. The proposed method offers a better quantitative insight into the details and reasons behind domain knowledge evolution.
Humans Versus Machines: A Deepfake Detection Faceoff
Authors: Goh Dion Hoe‐Lian , Pan Jonathan , Lee Chei Sian
Published: October 2024

Machine learning (ML) models for deepfake detection are important for countering the threat of such videos. However, human detection is also critical because automated approaches may not always be available to people online. This study compares ML models versus humans for deepfake detection. Results surprisingly showed that humans performed better. Implications of our work are discussed.
Tracing the Contours of Archival Silences: A Case Study of Critical Collection Building on the Rock Springs Massacre
Authors: Han Yingying , Han Ruohua , Wickett Karen M
Published: October 2024

Archives can reinforce silences of marginalized communities, further erasing their stories and voices. This study aims to understand the contours of archival silences, focusing on experiences of Chinese people in the United States in the late 19th and early 20th centuries. We are building a digital archival collection that centers Chinese peoples' voices around the Rock Springs Massacre of 1885, an incident of racial violence that killed at least 28 Chinese people and displaced hundreds more. As we selected items, we wrote structured reflections to critically examine each item's content, source, presentation, arrangement and description in their original context, as well as any absences and silences that we encountered in the search and assessment process. Based on a praxis of radical empathy, ethics of care, and slow archives, we engaged with our positionalities, past experiences, professional training in Library and Information Sciences (LIS), and affective responses throughout the research process to reflect on how they shape our decisions and hesitations in item selection and contextualization. Three main themes emerged from a preliminary thematic analysis of our reflections: complexity of archival silences and silencing, challenges of inclusive representation, and problematizing and going beyond primary sources.
Modeling Memory Institutions: The Ainu Case Study
Authors: Iwasaki Nanami , Momodori Naoki , Koizumi Masanori
Published: October 2024

This study aimed to construct a model of memory institutions (libraries, archives, and museums) as a lens for analyzing contemporary collective memory practices related to the Ainu people. First, we developed a pilot model to organize the current phenomena and practices of collective memories and suggest a respective circulation mechanism consisting of three core elements: media, collective representations, and collective memory. Additionally, employing this pilot model, we conducted close readings of 449 pieces of literature and illustrated the characteristics of collective memory practices and phenomena in a case study of the Ainu. Our findings indicate that 1) the traditional collective memory of the Ainu has gradually shifted toward recognizing them as a unique ethnic group, and 2) by translating their oral literature into diverse media, the Ainu have reshaped their cultural identity.
Quantitative Process of Retrieving Documents on Specific Technology Using an Academic Database and the Sentence Transformer
Authors: Lee Chul , Jun Seung‐pyo
Published: October 2024

As competition in technologies such as semiconductors and AI intensifies, the importance of technology analysis in establishing R&D strategies is increasing. Although frequently used, technological document searches by domain experts often suffer from limitations in qualitative judgment and inconsistency. This study proposes a process for quantitatively assembling a collection of documents on specific technologies using an academic database and a language model. Using approximately 92 million records from the Web of Science, we identified related keywords from author keywords and used scientometric approaches to determine a core set of technology‐related literature. Then, a deep learning‐based Sentence Transformer model was employed to extract technology literature with high similarity to the documents, ultimately forming a set of documents for technology analysis. This study aims to overcome cognitive limitations and introduce quantitative criteria for technology analysis, which is particularly significant for data‐driven science and technology policy.
Transforming Creative Process: A Systematic Literature Review of Discourse on AI Image Generators
Authors: Lee Hyun Seung , Luo Manman
Published: October 2024

AI image generator, also known as Text‐to‐image generation (TTIG) technology, allows users to generate images based on natural language input. With advancements in AI, debates related to its application in the creative field have flourished. A systematic literature review was conducted to examine discourse that addresses the perception of people in the creative industry towards AI image generators and the impact of AI image generators on these individuals. The analysis of discourse revealed four major categories: 1) Evaluation of product or outcome of AI; 2) Impact of AI on practitioners/artists; 3) Impact of AI on creative industry and society; 4) Capabilities of AI technology. These findings provide insights into the areas of interest within AI image generator discussions on creative activity.
Health Insurance Literacy Among Young Adults: The Role of Search Generative Experience and AI
Authors: Lockett Amand , Zhang Jiaxuan , Borji Samaneh , Towne Georgia , Singh Sadie , Mobley‐Lee Jalen , Conway Laila , McConnell Molly , Stanton Aidan , Wilson Morgan , Novin Alamir
Published: October 2024

Despite global recognition of health as a fundamental human right, disparities persist due to gaps in Health Insurance Literacy (HIL). This study investigates HIL among young adults, focusing on their search behaviors and the impact of Search Generative Experience (SGE) and Generative AI. Participants displayed skepticism towards sponsored ads, preferring unbiased sources on government websites. Brand familiarity, notably with Blue Cross Blue Shield (BCBS), also influenced decision‐making. Engagement with SGE for simplified explanations suggests its potential to impact HIL. Transparent and user‐centered interventions are crucial for improving HIL, contributing to more informed healthcare decisions and reduced disparities in access to care.
Research on the Development Strategy of Cultural and Creative Products of Libraries from the Perspective of Consumer Behavior
Authors: Miao Hanyu , Wang Chunying , Zhou Lihong , Qian Jing , Wang Fan
Published: October 2024

In recent years, there has been a notable trend and exemplary practice among libraries in effectively developing cultural and creative products. This endeavor not only foster the creative transformation and innovative development of culture, but also meets the escalating demand for high‐quality cultural consumption. Focusing on the consumption behavior of library culture and creative products in China, underscores the critical consideration for libraries, including the evolution of the consumption themes, addressing the symbolic consumption demands, creating new consumption scenarios, enhancing product quality, and augmenting consumer service awareness. Our findings highlight the importance of product diversity and aesthetic appeal, the fulfillment of commemorative value and social value, and the balancing of emotional and cognitive satisfaction in consumer demand. Moreover, the effective integration of both online and offline channels and leveraging the influence of Key Opinion Leader (KOL) are recommended marketing strategies. Regarding pricing, consumers are sensitive to price, preferring products of high quality and originality within reasonable price ranges. Finally, the study highlights the significance of enhancing the overall purchase experience and service quality, which significantly influence subsequent consumption behavior.
Everyday Triangulation within Challenging Informational and Legal Contexts: Exploring Everyday Triangulation in Individuals Considering Cannabis Use during Pregnancy or Lactation
Authors: Mulder Maria , O'Brien Heather , English Faith , Greyson Devon
Published: October 2024

Medical evidence on the risks and benefits of cannabis is limited; existing research is often inconclusive or conflicting. In the United States, cannabis use during pregnancy is stigmatized and often subject to complex legal constraints; these contextual components may have significant effects on information seeking and informed decision‐making processes. This study applies Reflexive Thematic Analysis to 23 telephone interviews with individuals considering cannabis use in pregnancy or lactation to explore their information needs; how adequately those needs were met; and how information triangulation, and other information seeking behaviours, were used to make decisions given the dearth of scientific evidence. Findings suggest that information needs are complex and contextual, and that participants used forms of triangulation that included relational and intuitive elements as well as cognitive assessment processes. A new model of Everyday Triangulation (ET) is presented to represent these complex assessment practices in a holistic manner.
Power in the Home: Digital Housekeeping and Its Relevance to Information Behaviour, PIM, and Information Ethics
Authors: Ochsner Catharina , Dinneen Jesse David
Published: October 2024

Digital housekeeping (DH) is an emerging research topic focused on the labour and social implications of setting up and maintaining technology in the home. Although examined by multiple fields, the literature on DH has yet to be reviewed and its potential overlap and synergy with library and information science (LIS) have yet to be explored. We therefore conducted a tool‐supported review of 26 scholarly publications on DH. Below we summarise the people‐ and relationship‐focused sub‐topics and findings of DH literature and explore promising directions for future research in LIS, particularly in information behaviour and personal information management. The poster visually maps the sub‐topics and disciplinary connections.
Exploring Historians' Critical Use of Generative AI Technologies for History Education
Authors: Pope Andrew , Ma Rongqian
Published: October 2024

The newest editions of generative AI (GenAI) tools demonstrate profound capabilities that promise to reshape education. It is of vital interest to determine how these applications will modify how the public perceives and interacts with history, as well as how history education is delivered. In this poster, we investigated academic historians' practices and perceptions of integrating GenAI into their teaching. We conducted semi‐structured interviews with seven historians who teach university‐level courses. We identified the major concerns and perceived benefits of GenAI integration in history education, and some typical uses of GenAI in history classes. Our work contributes an important baseline assessment of attitudes and practices within the field so that we may better understand the existing gaps among academic historians and the extent of those gaps.
Teaching Linked Data Principles through Virtual Wikidata Edit‐a‐thons
Authors: Swierenga Marianne
Published: October 2024

Cataloging and metadata professionals in libraries have an interest in learning about the Semantic Web and Linked Data technologies. However, with limited release time and funding for continuing education, professional development opportunities need to be designed with learner needs in mind: free, flexible, and fun. Our regional Linked Data interest group approached this challenge by developing an annual program in the form of a five‐day edit‐a‐thon, providing training and hands‐on experience in creating and editing Wikidata. The flexible format makes use of synchronous video conferencing, detailed online documentation, independent editing days for hands‐on learning, and opt‐in community discussion via Slack. Individual and project progress was tracked with the Wikimedia Event Dashboard. This poster proposes the Wikidata edit‐a‐thon as an ideal method to fulfill a professional development need of library staff by introducing participants to the principles of Linked Data through this flexible and interactive event.
Detecting Research Teams through Active Collaborative Participation
Authors: Wang Chun‐Chieh , Chen Dar‐Zen , Kuan Chung‐Huei , Hsueh Chao‐Chih
Published: October 2024

Research teams naturally appear from long‐term collaborations. However, effectively tracking their evolution, showing cross‐team participation, and defining team activity periods pose significant challenges. To address these issues, we propose an innovative method involving the computation of an annual active index for each researcher. We applied our method to analyze the solid‐state battery domain. Leveraging co‐inventor relationships, we found 246 teams, categorized into three groups based on their size. Approximately one‐third of these teams drive technological development, with more than half of the members taking part in multiple teams simultaneously.
The Effect of Stressful Life Events on Online Privacy Protective Behavior of Israeli Students
Authors: Weinberger Maor , Bouhnik Dan
Published: October 2024

This exploratory study investigates the influence of stressful life events on privacy‐protective behavior. We examine the effects of the ongoing state of war in Israel on the rate of deliberate falsification of personal details during website registration, in a user study of 107 students at Israeli universities. The students were queried using a quantitative method in online closed‐ended questionnaires. This research builds on our previous work (Weinberger & Bouhnik, 2021) examining the effects of other stressful life events, specifically the COVID‐19 pandemic, on the privacy‐protective behavior of Israeli students. We found that distrust of website operators and the desire to remain anonymous are the most common reasons for identity falsification. In addition, our analysis showed that the greater the concern over privacy, the more likely identity falsification was to occur. The Israel‐Hamas War in Israel seems to have exacerbated privacy concerns among online users, in turn increasing the tendency of users to exhibit privacy‐protective behavior.
What Is Left Unsaid: Ongoing Tacit Knowledge Loss from the Pandemic
Authors: Willson Rebekah , Dalkir Kimiz , Montazeri Peymon
Published: October 2024

Remote work and its challenges have been around for decades, yet the COVID19 pandemic brought these challenges to the fore and prompted organisations to address them. One of the challenges is the potential loss of tacit knowledge (knowledge that resides in the heads of “knowers”) among knowledge workers by shifting from in‐person to remote work. This paper reports on the initial findings of a pilot study that interviewed knowledge workers about the interruption of information sharing, the importance of technology to resemble in‐person working, and organization adaptability. The findings highlight the importance of in‐person interactions to exchanging tacit information but indicates that for organisations that are resilient, technology can mimic in‐person sharing.
“Our Privacy Needs to be Protected Equally as Everybody's”—A Preliminary Study of Crowdsourced Delivery Riders' Privacy Concerns in China
Authors: Ye Yuxiang , Xia Huichuan , Liu Chang
Published: October 2024

Delivery riders belong to crowd workers in the gig economy, representing a vulnerable group. Their privacy concerns and protection have not been duly investigated. To address this research problem, we surveyed to examine the issue of crowdsourced delivery riders' privacy concerns in China. It was found that these riders had often experienced privacy breaches and expressed major privacy concerns, such as the leakage of facial recognition information and contact details. Moreover, they lacked sufficient awareness of the Crowdwork platform's surveillance and knowledge of the Personal Information Protection Law (PIPL) in China. It is suggested that PIPL target vulnerable groups in addition to the general public, and privacy research in Human‐Computer Interaction (HCI) in China should focus on vulnerable populations like crowdsourced delivery riders.
Library Social Services: How Relevant Are Social Services to the Existing Library Missions?
Authors: Yoon Ayoung , Hong Michin , Hutcherson Andricus
Published: October 2024

Given the increasing prevalence of patrons with diverse social, physical, and psychological needs, public libraries are beginning to explore ways to address these community needs by offering social services. However, questions remain about whether social services should be part of the library's service domain and how libraries can effectively fulfill these needs. This poster presents insights from community members and librarians on the relevance of integrating social services into library missions, offering implications for a potential library social service.
Responsibility and Care in AI/ML Education: A Collaborative Approach to Ethical Awareness
Authors: Yoon Sun , Evans Sarah , Aragon Cecilia , Herman Bernease , Devasia Nisha , Miles Tianna
Published: October 2024

The rapid growth of artificial intelligence (AI) and machine learning (ML) has led to significant innovations but also raised ethical concerns. Researchers and students designed an ethical online game in this study to spread awareness about making informed decisions when using AI and ML. Conducted within a directed research group (DRG) curricular method, the study engages students as co‐researchers to develop a game, from developing ideas to playtesting the game in a class setting. The study employs a quantitative methodology to analyze a survey that 32 students, each with diverse backgrounds and knowledge in game development, conducted after each class session over three semesters. Findings indicate that self‐reported engagement changes depending on the activities done in each session, with students feeling capable of contributing to research and game design.
Evaluating and Enhancing Canvas Course Website: Prioritizing User‐Centered Design
Authors: Yu Fei , Urquhart Ryan L. , Sharmin Selina , Grady Siobahn D.
Published: October 2024

Canvas, a learning management system (LMS), has been widely adopted by academic institutions across North America. Despite its robust features, the user experience with Canvas varies significantly. This study examines the design of a Canvas course website, providing evidence‐based guidance for creating user‐centered LMS interfaces. The findings aim to enhance the user experience by addressing issues such as information overload, user control, and accessibility. Design principles and recommendations generated from this study are crucial for our institution‐wide adoption of Canvas, promoting a seamless and supportive learning environment.
Understanding User Satisfaction and Engagement with an Online Historical and Cultural Game from a User Experience Perspective
Authors: Zheng Wenhua , Chen Xiaoyu , Wang Lihua
Published: October 2024

This poster explores the impact of design in historical and cultural games, focusing specifically on JX3 Online, a Chinese 3D massively multiplayer online role‐playing game. It investigates how these designs influence players' perceived value, engagement, and satisfaction. The study uses data from an online survey of 300 respondents. It finds that both aesthetic and functional design elements, along with accurate historical representation, significantly enhance players' perceived value. Additionally, a positive relationship exists between players' perceived value and their satisfaction and engagement levels. This research underscores the potential of historical and cultural games for cultural education and dissemination. It emphasizes the need to blend engaging design with educational content effectively.