bluuebunny/crossref_metadata_2025_split huggingface dataset:
People's Voice: Exploring Discussion Themes on Generative AI and Libraries on X
Authors: Li Yuan , Sprayberry Ainsley 
Published: October 2024

ABSTRACTThe launch of ChatGPT and other Generative Artificial Intelligence (GenAI) models has significantly influenced people's perceptions of AI, making its impact a widely discussed topic in various areas. In Library and Information Science (LIS), researchers experience the opportunities and challenges presented by GenAI, such as using the rich text from books and digital collections as training data for GenAI and enabling quick summarization and reference consultation for patrons. Meanwhile, concerns have arisen about the generation of fake information and nonexistent text by GenAI and their potential effects on users. This project explores the themes in public discussions regarding the impact of GenAI on libraries. To explore public opinions about the impact of GenAI in libraries, we collected over 50,000 posts from X (formerly Twitter) between November 1, 2022, and May 6, 2024. We manually sampled 1,000 posts focusing on GenAI in the context of libraries. We conducted content analysis to identify the key themes and relationships among these themes. This poster presents our initial findings on different themes and highlights the trends in public opinion. Our analysis provides a curated dataset for training APIs for future investigation.
Exploring the Curation Practices of 3D Data Creators
Authors: Lischer‐Katz Zack , Cook Matt 
Published: October 2024

ABSTRACT3D data creation methods and virtual reality (VR)‐based visualization techniques are increasingly common in interdisciplinary research and pedagogy. 3D data represent a new challenge to existing digital curation frameworks for academic libraries and other support institutions. This poster describes the research methodology, background, and research plan for an in‐progress, 3‐year project funded in part by the Institute of Museum and Library Services (IMLS grant LG‐254830‐OLS‐23). This project is exploring 3D data creation and curation practices of researchers across a range of 3D creation modalities and disciplines.
Climate Change Skeptics and the Power of Negativity
Authors: Liu Qiaoyi , Kim Yuheun , Hemsley Jeff 
Published: October 2024

ABSTRACTClimate change is a polarized topic on social media in the U.S. Actors who advocate climate change as scientific fact, or tout it as a conspiracy, both post videos on YouTube. Both kinds of videos can receive millions of views and thousands of comments. Given the polarized nature of the topic, we might expect a high degree of vitriolic speech in the comments around the videos. Previous Twitter studies would also suggest significant differences in the networks made from the interactions of such comments and replies. This study focuses on these comments and replies in an effort to understand the nature of discourse surrounding climate change believer and skeptic videos. Our hope is to extend the existing literature studying scientific communication around climate change, which to our knowledge hasn't specifically compared discussions around both climate change believers or skeptics on YouTube. Results show most users only comment on other users that align with their own perspectives about climate change, and express positive sentiment toward them. Our study also finds that the more negative the users' comment, the more connections they have with other users. These findings indicate further investigations of climate change social activities on YouTube.
Welcome To #Spoonietok: Understanding and Supporting Disability Expertise, Storytelling Abilities, and Collective Information Practices on Tiktok and Beyond
Authors: Lundy Morgan 
Published: October 2024

ABSTRACTThis poster reports developing dissertation research, exploring the individual and collective storytelling practices of people experiencing difficult to diagnose chronic pain and fatigue (CSSs) on TikTok to understand and ultimately support these embodied, creative, and collective storytelling abilities on and off‐app. Ongoing data collection and analysis using constant comparison, guided by critical disability studies sensitizing concepts, of 150 videos and their top‐20 comments, and interviews with 6 community members indicate that people with CSSs are using TikTok affordances to tell and scaffold complex micro‐stories sharing disabled expertise; creatively visualize invisible illness; use intimate, documentary cinematography; tell composite stories using skits and collapsed time; and make audio, visual, and community/collective mimetic alterations. This poster shares a pragmatic sampling approach using algorithm training, and results from visualization activities during interviews which indicate a messy overlapping landscape of what I call algorithmically mediated online health communit(ies) (AMOHCs), which have slippery boundaries, where health information is found serendipitously, and people connect across specific chronic illness categories. This dissertation‐in‐progress is developing a set of disability‐specific storytelling abilities, which interview participants indicate are transferable to off‐app settings; and upcoming codesign workshops creating storytelling support materials with community members will further distill disability storytelling support needs.
Dancing in the Dark: The Case for Chaos in an Age of AI Generated Answers
Authors: McKay Dana 
Published: October 2024

ABSTRACTOne of the key aims of information search tools is to organise information and make it accessible and useful, reducing the chaos of an information deluge to ten blue links, perhaps with some context about the utility of the information they represent. Generative AI answer engines, such as ChatGPT, have gone one step further, reducing the ten blue links to a single passage of text: highly digestible, easily accessible, possibly false and ultimately bland. All chaos, including disagreement between sources, possible false information, and the influence of societal biases, and the opportunity to access more information is hidden under a rug of simple, authoritative sounding text. Friction, disagreement, reflections and odd informational juxtapositions have long been known to underpin serendipity, inspiration and creativity, yet these answer engines reduce all of these opportunities, particularly in the context of complex information needs. Using ‘bounded chaos’ as a framework, we critique the trade‐offs made by answer engines, demonstrating that, even as they are non‐deterministic, they hide the wrong parts of the chaos for those who seek learning or inspiration. We make the case against bland, and defend information seekers need for perceptible heterogeneity, friction, and even a little chaos.
Heatmaps: A Tool for Studying Book Selection Preferences on Discovery Platforms
Authors: Merčun Tanja , Kuhar Maja , Jug Tjaša 
Published: October 2024

ABSTRACTThis study evaluates the usefulness of heatmaps in understanding user preferences during book selection in online discovery platforms. It compares two heatmaps generated from user clicks and eye‐tracking data to identify key metadata influencing readers' choices. Initial results indicate that click heatmaps can be a useful tool for this type of investigation, especially considering the cost of eye‐tracking, which is typically used to generate attention heatmaps.
Gaining Insight: Data Needs for Firearm Injury Prevention Researchers
Authors: Million A. J. , Gidakovic Sanja , Bossaller Jenny 
Published: October 2024

ABSTRACTBetween 1996 and 2018, there was little federally funded research on gun violence, even though it remains a perennial issue, resulting in considerable loss of life. Advocacy and academic groups piece together data to conduct their research, but the U.S. firearms data infrastructure is limited. A current National Institute of Health (NIH)‐funded coordinating center led by researchers at the University of Michigan aims to help confront that problem. This Quality Improvement (QI) study seeks to uncover the information needs of researchers in firearm injury prevention and community‐based interventions through interviews with public health, medical, and criminal justice researchers. Interviews reveal problems associated with existing databases and infrastructures, as well as what researchers need to support their research. We find fragmented data resources and a lag in public health data availability create obstacles to obtaining many datasets. The researchers also describe problems and opportunities for data harmonization across intervention‐focused studies.
Enabling Serendipity During Digital Library Search
Authors: Mon Ei Ei , Hoeber Orland 
Published: October 2024

ABSTRACTWhen a serendipitous discovery is made while searching within a digital library collection (such as an academic digital library at a university), the searcher has a difficult choice to make: either pursue the serendipitous discovery or set it aside and deal with it later. If they take the first option, this breaks the flow of the primary search activity which may make it difficult to resume. If they take the second option, they may have difficulty re‐finding what they discovered when they are finished with the primary search activity. We have developed a novel search interface that includes topic‐based workspaces and a “read it later” list. Serendipitous discoveries can be easily added to the “read it later” list, allowing the searcher to stay focused on their current search activity knowing that they can easily return to the discovered resource. For each resource saved to the “read it later” list, a textual similarity is calculated against the collection of documents saved in each of the searcher's workspaces. This allows them to easily identify which of their prior search tasks is a best fit for the discovery, as well as an ability to create a new workspace if desired.
“Mutual Sustenance”: Co‐constructing the Foundation for Vulnerability in the Participant/Researcher Relationship through an Ethnographic Study of Vehicle Residents' Information Practices
Authors: Montague Kaitlin E. 
Published: October 2024

ABSTRACTInformation Science (IS) researchers and practitioners aim to understand information seeking and needs across vulnerable communities. These relationships possess insider and outsider dynamics between researchers and participants. To foster vulnerability, trust, and empathy in the research process and to meet participants where they are in the research process, it may be beneficial for IS researchers to incorporate and consider concepts like reflexivity and positionality. The concept of the “vulnerable observer” (Behar, 1997) was implemented to frame the humanization of the researcher through an ethnographic study of vehicle residents as a vulnerable population. The relationships developed with participants serve as the grounds for which vulnerability can flourish through the utilization of safe environments. A safe, familiar environment for the participant is an important ingredient to produce trust and reciprocity. Reciprocity has the potential to lay the groundwork for a vulnerable foundation built on trust and rapport.
Healthcare Disparities in Telemedicine Access and Use During the COVID‐19 Pandemic
Authors: Montiel Jesus , Moy Amy Q. , Dodson Samuel 
Published: October 2024

ABSTRACTThis study investigates disparities in telemedicine access and use among racial groups in the United States during the COVID‐19 pandemic. Our analysis of a dataset from the National Center for Health Statistics (NCHS) reveals that telemedicine access and use varied significantly across racial groups, which the NCHS categorized as “Black,” “Hispanic,” “White,” or “Other.” Hispanic respondents were more likely to lack a regular place of care, which might explain their lower access to telemedicine, relative to other groups. White respondents reported relatively high telemedicine access. Black respondents also reported relatively high rates of telemedicine use, contrary to the literature suggesting lower healthcare access among African Americans. Findings underscore the need for public health agencies to disseminate information about telemedicine to all community members. We suggest future research exploring the socioeconomic barriers impacting individuals' ability to access and use telemedicine.
Trends in Data Curation: Competencies and Tools
Authors: Murillo Angela P. , Yoon Ayoung 
Published: October 2024

ABSTRACTLibrary and information science has led data curation research and education for the last two decades, providing data curation education, professional development programs, and a robust professional opportunity. To keep current with the latest trends in competencies and tools needed to conduct data curation activities, this research conducted a systematic literature review of literature that captures competencies and tools to build a framework of current trends in data curation work that educators can utilize to ensure up‐to‐date educational materials for the next generation of data curation professionals. This poster presents the preliminary findings of this data curation competencies and tools analysis.
Putting People First: Unpacking the Relationship Between Social Media Influencers and Feminism
Authors: Charlotte Nau , Molly Patel , Anabel Quan‐Haase , Jinman Zhang 
Published: October 2024

ABSTRACTThis narrative review synthesizes knowledge at the intersection of social media scholarship, the role of influencers in disseminating information about feminist causes. Feminist activism on social media, such as hashtag activism like #MeToo, has received much attention from scholars, but the role of influencers in disseminating information remains understudied. Much of the past research has examined the commercial nature of influencers. We conducted a narrative review using the search results from eight academic databases. We examined three research questions: (1) what types of social media influencers have been studied, (2) what feminist approaches were drawn on, (3) and what are influencers' functions in the dissemination of information on feminist causes. We found that the literature had covered influencers from many parts of the world whose content focuses on various areas of life, with some specifically advocating antifeminism. We also found that feminist theoretical approaches, mainly surrounding neoliberalism and post‐feminism, have informed much of this research. Finally, we found that the studies within feminism as challenging norms and expectations, calling out social issues, and building community. From these findings, we derive directions for future studies and the continuation of our project.
The Mechanics‐Conditions Framework as a Tool for Critical Social Media Affordance Analysis
Authors: Nau Charlotte 
Published: October 2024

ABSTRACTAffordances, described as action opportunities emerging from the relationship between a technology and its user, are a popular framework for understanding how people engage with social media platforms. Scholars have proposed this framework as a tool for performing critical analyses of technology, arguing that drilling down on affordances can help us understand how power shapes technology use. This conceptual analysis builds on the affordance mechanisms and conditions framework by Davis. Davis proposed to think of affordances in terms of mechanisms (request, demand, encourage, discourage, refuse, allow) and conditions (perception, dexterity, and cultural and institutional legitimacy). This framework sheds light on to whom and under what circumstances technologies afford certain actions to its users. I apply this framework to social media and provide examples that illustrate the framework's components. For each component, I include a set of suggested questions that a researcher interested in a critical social justice‐oriented analysis of social media affordances might ask. Asking these questions, I argue, can support a researcher in dissecting the biases, stigmata, and discrimination embedded in social media.
College Students' Attitudes & Information Literacy Knowledge Related to Privacy on TikTok
Authors: Oh Sein 
Published: October 2024

ABSTRACTThis study is a project designed to be part of the PhD dissertation research as a pilot aimed at assessing the study's feasibility and its potential for refinement. The paper presents a study that explored the attitudes and knowledge of college students toward privacy in TikTok. This paper aims to comparatively assess student privacy literacy and privacy‐related concerns along with their response patterns towards the Florida State University policy banning TikTok on campus networks. The study utilizes semi‐structured, qualitative interviews to collect data from five undergraduate students (age 18–24) at Florida State University. It has analyzed and discussed the data collected from these interviews to achieve greater insight into the privacy literacy of students, their privacy concerns, and how Generation Z (Gen Z) students view institutional policies affect their use of social media. Preliminary findings suggests students are skeptical of the ban due to perceived ineffectiveness of the school policy. Analysis showed the new school rules had little effect on students' usage pattern or the amount of time they spent using TikTok.
Information Literacy Education in University Libraries: A Comparative Study in Taiwan and South Korea
Authors: Park Kyuri , Hsieh Yi‐Shan 
Published: October 2024

ABSTRACTThis study aims to compare the information literacy education practices of university libraries in Taiwan and South Korea using the Framework for Information Literacy for Higher Education (ACRL, 2016). The result shows that while Taiwanese institutions demonstrate comprehensive coverage across all six frames, South Korean university libraries lack some frames. The identified gaps will be analyzed thoroughly with ongoing research. This research will contribute to understand the shortcomings in the information literacy education provided by university libraries and suggest how we can further research and improve in the future.
Discipline as Context: Arts and Science Students' Views on Key Concepts in the ACRLFramework
Authors: Pienaar Claire , Bartlett Joan C. 
Published: October 2024

ABSTRACTThe introduction of the Association of College and Research Libraries' (ACRL, 2016) Framework for Information Literacy for Higher Education, or “the Framework,” has fostered efforts to apply the document's concepts to information literacy instruction (ILI) to meet the needs of post‐secondary students across faculties. However, little research has directly compared students' perspectives on the Framework's concepts by discipline. This poster presents findings from a larger, mixed‐methods project investigating student perspectives on the Framework in which participants in the faculties of arts (n = 123) and science (n = 90) expressed distinct views and rankings. Their perspectives particularly diverged around perceived roles in assessing the authority of information sources and how “relevant to their experience in school” they found most Framework frames. This project expands upon emerging learner‐centered research aiming to meaningfully improve Framework‐based ILI through its direct disciplinary comparisons and use of the recently developed Information Literacy Reflection Tool (ILRT; Robertson et al., 2022).
Putting “First Peoples” First: Participatory Design of a Digital Storytelling System for Inuvialuit Communities
Authors: Shiri Ali , Farnel Sharon , Rao Supriya 
Published: October 2024

ABSTRACTThis poster presents a community‐focused participatory design methodology as a basis for developing a digital storytelling system for the Inuvialuit Settlement Region in Canada's Western Arctic. It provides an overview of the various stages of digital storytelling system prototype design informed by an Inuvialuit elder's storytelling gathering and a community experience open house. Among the prototype redesign ideas are empathy maps we are using to allow us to connect stories with designs and community needs in mind.
Social Influence, Trust and Future Usage: A study of BIPOC Users of CHATGPT and other AI Chatbots
Authors: Stewart Brenton J. , Park Sunyoung , Ju Boryung 
Published: October 2024

ABSTRACTIn this paper we examine the determinants (trust and social influence) that influence users' future use intentions of generative artificial intelligence (AI) applications among black, indigenous and other people of color (BIPOC) users of generative AI applications such as ChatGPT and other large language models. An online survey instrument was administered to 119 BIPOC identified individuals residing in the United States. Descriptive and inferential statistics were used to analyze data through SPSS. Results indicate no statistically significant differences among ethnic/ racial groups in social influence and continued use intentions. However, with respect to trust, Hispanic/LatinX users perceive information from AI chatbots as more trustworthy and accurate, and that their search activity was more secure than other BIPOC populations. The study also found that trust and social influence were significant factors driving future use intentions.
Information Practices and the Production of Scientific Knowledge through Sound
Authors: Stewart‐Robertson Owen 
Published: October 2024

ABSTRACTEnvironmental sound recording is increasingly vital to the production of scientific and ecological information and knowledge. While research applications have grown tremendously, there is a lack of empirical research around the practices and experiences of those responsible for creating and managing these recordings. This poster reports on initial findings of a qualitative research project that interviewed 30 academic and professional researchers from across Canada and the United States, exploring information activities and meaningful elements and actors involved in their interactions with environmental sound recording. From preliminary findings, two themes are discussed: sound and listening skills involved in the creation and analysis of environmental sound recordings are complex, multisensory information practices, and changing environments and technological affordances enable and constrain the seeking and sharing of information and resulting knowledge production.
The Relationships between Influencers and Followers Who Troll and Proactive‐Reactive Trolling
Authors: Sun Honglei , Fichman Pnina 
Published: October 2024

ABSTRACTLittle is known about the differences between trolling by influencers and followers, the difference between proactive and reactive trolling, and the relationship between them. Based on a content analysis of 1,386 comments on 160 posts of 19 influencers during a Sina Weibo trolling event, we found that influencers troll more frequently than their followers and they troll proactively more often than reactively, while followers troll reactively more often than proactively. Influencers generated less but more impactful content compared with their followers. In both proactive and reactive trolling, influencers derailed the discussion while followers provoked through their proactive trolling and insulted through their reactive trolling. These findings extend the research scope of trolling asymmetry and establish theoretical connections between social media roles and proactive‐reactive trolling.