bluuebunny/crossref_metadata_2025 huggingface dataset:
A Guided Tour Study of the Untidy but InspirationalPIMof Visual Artists
Authors: Hellmich Helene , Dinneen Jesse David
Published: October 2023

While all individuals deal with increasingly large amounts of digital information in their everyday lives and professionally, prior works suggest visual artists have unique information management practices and challenges. This study therefore examined the personal information management (PIM) practices and challenges of six practising visual artists using guided tours and short interviews. It was found that the visual artists had some unique practices connected to their strong emphasis on serendipity, inspiration, and visual dimensions of information. Like non‐artists, the participants faced challenges across all phases of PIM, chiefly an excess of information and fragmented organisation, and they found it especially hard to assess how personal and valuable their information could be. After characterising this rarely discussed PIM demographic, we draw on the findings to provide concrete recommendations for artists doing PIM, for information and cultural heritage institutions, and for designers of PIM software.
Negativity Bias During Information Seeking, Processing, and Sensemaking about a Policy Debate: An Eye‐tracking Experiment
Authors: Liu Yingtong , Zhang Jiajia , Zhang Pengyi
Published: October 2023

Negativity bias is the tendency to pay more attention and give more weight to negative information than positive information. This study explored how negativity bias affects information search, processing, and sensemaking when reading news articles on controversial topics. We conducted an eye‐tracking experiment with 43 participants who sought and read positive and negative articles about the three‐child policy debate. We measured their eye movements, cognitive load, attitude change, and sensemaking outcomes. We found that: (1) negativity bias occurs in both information search and information processing, and the outcomes of sensemaking also tend to show negative changes; (2) reading positive articles increase cognitive load more than reading negative articles; (3) gender and prior attitude have an influence on negativity bias; (4) people use different cognitive strategies when making sense of positive and negative information. This paper contributes to a better understanding of negativity bias in information seeking, processing, and sensemaking, which can help design news systems that adapt to readers' needs, and suggests people view information objectively.
What Is a Person? Emerging Interpretations of AI Authorship and Attribution
Authors: Moulaison‐Sandy Heather
Published: October 2023

Recently, the scholarly community has been eagerly exploring how AI‐produced content should be integrated into both academic writing and scholarly publishing. This paper investigates the prevailing responses to the introduction of ChatGPT in November 2022 and the interest that has been afforded it by both the academy and the publishing industry. A review of the published literature on aspects of ChatGPT authorship was carried out, finding that government and the publishing industry have unequivocally asserted that large language models (LLMs) like ChatGPT do not possess the traits of a person and are not able to author texts as a result. Other approaches, including practice, have been less vehement. To assess the integration of instructions on referencing ChatGPT using APA, top Google hits in the .edu domain were collected and analyzed over a 6‐week period from March 14 to April 18, 2023, a time during which official recommendations of the APA Style were finalized. Findings reveal that librarians were quick to provide guidance, but slow to update that guidance, contributing to the potential for misunderstanding the affordances of and best practices for work with LLMs.
“How Do You Measure a Relationship?” Assessment and Evaluation Challenges of Knowledge Exchange Activities in Information Work
Authors: O'Brien Heather , McDavid Kristina , Yao Jess
Published: October 2023

Today there is increasing emphasis on knowledge exchange (KE), the movement of knowledge and expertise amongst diverse groups to enhance research uptake, use, and impact in healthcare, government, and community settings. Library and information science (LIS) professionals are central actors in KE though community engagement, scholarly communication, literacy, and cultural heritage initiatives, but (how) is this work formally documented and evaluated? Through interviews with 24 information professionals working in varied settings, we considered how KE activities fit into the current library assessment and evaluation landscape. Using thematic analysis, we identified challenges with placing this work within current assessment practices and evaluation frameworks and showing its value, as well as a desire for alternative, more dynamic assessment and evaluation methods. We discuss these findings with respect to previous research in LIS and KE more broadly to consider professional and organizational implications.
The New Information Retrieval Problem: Data Availability
Authors: Sharma Sarika , Wilson James , Tian Yubing , Finn Megan , Acker Amelia
Published: October 2023

The goals of open science are driven by policies requiring data management, sharing, and accessibility. One way of measuring the impact of open science policies on scientific knowledge is to access data that has been prepared for re‐use. But how accessible/available are data resources? In this paper, we discuss a method for exploring and locating datasets made available by scientists from federally funded projects in the US. The data pathways method was tested on federal awards. Here we describe the method and the results from analyzing fifty federal awards granted by the National Science Foundation to pursue data resources and their availability in publications, data repositories, or institutional repositories. The data pathways approach contributes to the development of a practical approach on availability that captures the current ways in which data are accessible from federally funded science projects –ranging from institutional repositories, journal data deposit, PI and project web pages, and science data platforms, among other found possibilities. This paper discusses some background and motivations for such a method, the method, research design, barriers encountered when searching for data resources from projects, and how this method can be useful to future studies of data availability.
“Garbage Bags Full of Files”: Exploring Sociotechnical Perceptions of Formats within the Recovery and Reuse of Scientific Data
Authors: Wagner Travis L. , Fenlon Katrina , Sorensen Amanda
Published: October 2023

This paper explores the social and technical perceptions of physical and digital formats as they relate to work in the recovery and reuse of scientific data, specifically historical, archival, and defunct data sources. Proprietary and obsolete formats, or formats that need significant transformation work, stand out as central challenges for scientists and data curators who are recovering reusable data from archival or legacy data sources. The challenges confronting data sharing and reuse of contemporary scientific data are already known to be myriad; formats often pose a major, compounding challenge to retrospective data curation research and practice. Based on 23 qualitative interviews with practitioners conducting data recovery and reuse, ranging from marine biologists to data librarians, we study how they understand, engage with, and utilize formats within their data curation work. This paper enumerates the formats deployed throughout the scientific data curation process and explores how practitioners creating and curating scientific data based on historical and archival materials encounter, make sense of, and utilize formats. The paper focuses on practitioner perceptions of formats around the following themes: how practitioners' historical relationships to certain challenging formats inform their ongoing curation practices; the importance of contexts in prioritizing or ignoring formats within scientific curation work; and how formats reveal larger sociotechnical issues. The paper concludes by with practical and theoretical implications of navigating formats within the recovery and reuse of scientific data and offers suggestions for reconfiguring formats within broader data curation lifecycles.
Social VR: A Promising Platform for Enhancing Mental Wellness among College Students
Authors: You Xinyue (Sally) , Bailey Jakki O. , Won Andrea Stevenson , Ahn Sun Joo (Grace) , MacIntyre Blair
Published: October 2023

In recent decades, there has been an alarming increase in the number of university and college students struggling with intensifying psychological distress, which has become a mental health crisis on campuses. To address this issue, this study proposes social VR as a potential platform to promote social interaction and improve mental well‐ being for college students. In this study, 68 students explored a variety of social VR applications in a classroom setting. Results showed that a) virtual space, audio, avatar, communication types, and activities were key contributing features that facilitated social interaction among college students in social VR and have the potential to enhance mental wellness, and b) the anonymous nature, communicative cues, and designated private areas provided by social VR platforms were effective in facilitating self‐disclosure, indicating social VR's potential in delivering mental health services such as individual and group counseling and therapy. This study provides evidence that social VR can enhance social interaction and communication while serving as a platform for professional mental health care, a venue that has yet to be explored in previous studies.
The Causality between Offensive Language Use and Negative Emotions in the Public Event— An Empirical Study Using Convergent Cross Mapping
Authors: Chen Miaomiao , An Lu , Li Gang
Published: October 2023

The mutual causal interdependence between offensive language use and negative emotions has been largely underexplored in the public event. Using 784,179 posts about the Tangshan violence event collected from Sina Weibo, nine themes were recognized based on framing theory. The mutual causal relationship between offensive language and negative emotions under each theme was examined through Convergent Cross Mapping. Results suggested that the mutual causal relationships between offensive language and negative emotion intensity under various themes were different with bidirectional causality under moral judgement, emotional venting, and power conflict, unidirectional causality under the vulnerable framework and the trust framework, and no causality under other themes. More detailed examination revealed special bidirectional or unidirectional causality between offensive language and some fine‐grained negative emotions under the vulnerable framework, the trust framework, and secondary opinion. This study provides insight into the interaction between offensive language and negative emotions and helps emergency managers make targeted strategies to solve the problems of offensive language use and negative emotions.
Trust in Search Engines: Developing a Trust Measure and Applying It in an Experiment
Authors: Häußler Helena
Published: October 2023

Nowadays, users trusting search engines appears fundamental, although this claim is built on little research. In face of new developments of search, the question comes up again: to what extent users trust a search engine, how it is justified, and which consequences does it imply. Based on interdisciplinary research on trust, the individual concepts of trust, trustworthiness, and trust‐related behavior ares outlined and applied to the web search context. To date, there is not an adequate instrument for collecting the ambiguous concept of trust for technical artifacts like search engines. Therefore, a trust measure will be developed with the help of a qualitative laboratory study and validated with an online survey. Afterwards, the measure will be applied in an experiment to the search engines Google and Ecosia and scenarios from the health and finance domain. The expected results indicate the causes and effects of trust in a search engine. In consequence, misplaced and well‐founded cases of trust in search engines can be identified and discussed among civil society, researchers, and policymakers.
Exploring Applications and User Experience with Generative AI Tools: A Content Analysis of Reddit Posts on ChatGPT
Authors: Choi Wonchan , Zhang Yan , Stvilia Besiki
Published: October 2023

As part of a larger project, this paper reports on preliminary findings of a study exploring use cases of ChatGPT and associated behaviors and experiences among users of an online forum. Posts on a ChatGPT‐related forum on Reddit (n = 452) were analyzed using qualitative content analysis. This paper reports on themes relevant to this study, including the types of tasks for which users used ChatGPT, user experiences, and perceived impacts of ChatGPT. ChatGPT was often used to facilitate various writing tasks (e.g., writing an essay), academic tasks (e.g., finding scientific references for a research paper), everyday tasks (e.g., creating a meal plan), and conversational purposes (e.g., having a simulated conversation about a past event). Users expressed positive (e.g., excited, amazed) and negative (e.g., fooled, concerned) feelings toward the technology. They raised various issues and problems with ChatGPT at the content (e.g., inaccuracy, incompletes) and system (e.g., unavailability, instability) levels. Users discussed the perceived impacts of ChatGPT on individuals (e.g., unemployment) and society (e.g., AI divide). Study findings can inform the design of policies and guidelines for mitigating AI problems and promoting the effective and ethical use of emerging AI technologies.
A Preliminary Investigation of the Effects of Open Review on Citation Impact
Authors: Liang Tiantian , Zhong Zhuosheng , Zuo Zhiya , Li Hui , Wang Xi
Published: October 2023

This study investigates the impact of open review on citation counts of academic articles. By collecting articles published in the material science area of Nature Communications from 2014 to 2018, we exploit the adoption of voluntary open review in 2016 to examine how article citation counts are associated with open review using propensity score matching and regression analysis. OLS regression results show that open review comes at the expense of fewer citations received by articles. Specifically, open‐reviewed articles received 44% fewer citations than their non‐open‐reviewed counterparts. An additional mediation analysis reveals that this decrease in citations may be partially attributed to the lengthening of the review cycle of articles that were open reviewed–open‐reviewed articles experienced 16% longer review cycles; every 16% extension of the review cycle led to 5.8% fewer citations. Results remained qualitatively similar when we restricted the citation windows to three years since publication. Contrary to previous findings concerning the positive effects on articles’ citation impact, our preliminary results call for additional efforts in identifying the costs and benefits associated with open review.
Online Incivility and Contextual Factors: Data‐Driven Detection and Analysis
Authors: Dumas Catherine , Ghosh Souvick , Hong Lingzi , Karami Amir , Vaidya Priya
Published: October 2023

Uncivil behaviors like rude or hate speech have been a persistent problem on social media, which could lead to negative user experience or even affect the psychological well‐being of users. Automatic detection and moderation of such behaviors are critical to creating a supportive online community for effective user communication and positive user experience. In this tutorial, we propose methods to study online incivility, which includes data collection from a social media platform, i.e., Reddit, automatic detection of incivility with pretrained deep learning classifiers, and statistical and visual analytical methods to investigate the combination of community characteristics and users’ interactive patterns that relate to the occurrences of incivility. Similar methods can be applied to understand other information misbehaviors online, such as misinformation, dissemination of rumors, and cyberstalking. This panel is sponsored by SIG SM.
Storytelling for Translational Research Impact
Authors: Gonzalez Sarah , Liu Ying‐Hsang , Syn Sue Yeon , Makri Stephann , Connaway Lynn Silipigni , Given Lisa M. , Hartel Jenna , McDowell Kate
Published: October 2023

Translational research converts research knowledge into practical wisdom for a community (What is Translational Research, n.d.). Storytelling for translational research means that the researcher knows the audience, crafts a narrative, sticks to the plot, and imparts wisdom in a meaningful way – all elements of a good story from a good storyteller. In this hybrid panel and workshop, led by Stephann Makri and other members of the ASIS&T Research Engagement Committee, our successful researchers/storytellers will illustrate how a good translational research impact story is structured. Then, our storytelling experts will help participants craft their own research narratives to put translational research storytelling into practice for their own research stories. Dr. Kate McDowell, panelist and storytelling expert, teaches both storytelling and data storytelling courses, and is the 2022 recipient of the ASIS&T Outstanding Information Science Teacher Award. She states: “When research successfully translates into legislative or policy changes, it always comes down to a shared narrative experience. The story emerges in the dynamic interaction between the teller and the audience.” The aim of this session is to create confident storytellers.
Messages and Calls Ignored? A Survey of Four Thousand Smartphone Users on Non‐Response Behavior
Authors: Agarwal Naresh Kumar
Published: October 2023

We are living in a world where a lot of people maintain constant connectivity through sending and receiving messages and calls. Contemporary research has focused on how smartphones disconnect us from our physical environment. Yet, in a digital disconnect, almost daily, people choose not to respond to certain messages or calls, which can make the sender anxious and adversely affect their communication. The first phase of this project consisted of an interview study of 24 participants which led to publications covering the sender and receiver perspectives. A follow‐up large‐scale survey of 4,001 respondents was carried out to investigate the receiver's reasons for not responding including the role of power, the psychological impact on the sender, and other communication. Theories on information avoidance, power, interpersonal deception, and emotions inform this study. Preliminary findings are shared here. The findings will inform the fields of information science, communication, psychology, and mental health, and should help software designers build tools to help users communicate their context to each other.
Generative Artificial Intelligence (GAI) Divide: An Empirical Examination of the Micro–Macro Factors that Predict GAI Knowledge and Use
Authors: Ball Christopher , Huang Kuo‐Ting
Published: October 2023

Generative artificial intelligence (GAI), a branch of AI capable of generating new content from human input has the potential to impact every aspect of our society. However, as with any emerging technology, the benefits and detriments of GAI may not be evenly distributed, leading to digital inequality. Aspects like AI access, effectively usage, and usage outcomes could define this emerging and evolving GAI divide. To fill the current research gap on GAI inequality, this study aims to empirically explore the factors that may contribute to a GAI divide to ensure that the benefits of this technology are distributed equitably throughout society. To address these challenges, An online survey will be conducted to examine both macro‐ and micro‐level factors that may potentially proliferate and ameliorate the GAI divide.
Enabling Historical Thinking through Interorganizational Cooperation
Authors: Bossaller Jenny , Witt Steven , Aparac‐Jelušić Tatjana
Published: October 2023

This poster problematizes selected presentations and outcomes of an IFLA satellite conference on the history of professional organizations of librarians and information scientists. Representatives from organizations, including ASIST and library associations around the world from four continents (Europe, North America, Asia, Africa) will meet at the Mundaneum in Mons, Belgium. The theme of the conference is “Preserving our origins: Approaches to the organization, curation, and historiography of the record of national and international organizations in libraries, information, and documentation.”

An irony within information science is that its many professional associations often fail to identify and preserve their own history. Their work is documented, but often not well preserved, and hidden from a wider audience. Born digital materials are especially vulnerable to loss (Neal, 2015). This poster identifies problems and best practices in managing the documents of historical value of volunteer‐led associations and invites ASIST members to contribute to the historical work of the association.

The goal is to identify common problems in preserving association histories. The poster will present several projects discussed at the IFLA satellite conference, as well as proposed ways forward that will advance historical work for the information professions.
Making Ends Meet in a Pandemic: African Library Initiatives During COVID‐19
Authors: Bugre Charles , Jowaisas Chris , Young Jason C.
Published: October 2023

This poster captures the initiatives of African community and public libraries in the early stages of COVID‐19. This is part of an ongoing research on the impact of the COVID‐19 and long‐term implications for African libraries. We conducted 11 interviews in 9 countries using both purposive and snowball sampling. We analyzed the recorded data through a thematic analysis approach. Arising from the data, we found that librarians employed empathetic information interventions using widely available information technology tools to deliver critical information to promote the well‐being of their communities. The libraries initiated social cohesion talks to foster unity among families. They also used WhatsApp to send snapshots of study materials to examination candidates and to point people to social services. This work contributes data to scant literature about the initiatives of African community and public libraries during the COVID‐19 and how low resource libraries can support their communities in crisis.
Performance and Organizational Characteristics of Analytics Teams in Healthcare and Population Health: Methods and Preliminary Observations
Authors: Buie Ronald W. , Zachry Mark , Chen Annie T.
Published: October 2023

Existing models of the work of analytics teams and how they impact health organizations do not describe the activities, nor their relationship to the organization, in sufficient detail for optimal decision making. This poster reports on an ongoing study of the work of healthcare and population health analytics teams to rectify this gap. We are interviewing members of analytics teams in healthcare and population health organizations to gather data on the processes, deliverables, downstream and upstream stakeholders, and artifacts that the teams rely on to conduct and manage their work. The primary analysis uses a grounded theory approach, with a secondary activity theory analysis of relationships between the analytics team, identified cognitive artifacts, and intended outcomes. In this poster, we intend to present the methods, participants, and some preliminary observations. We hope that this presentation will solicit feedback that leads to improvements in the study.
Data Governance Practices Unveiled: Insights from Multiple Data Collection Approaches
Authors: Chang Yun‐Chi , Lin Fang‐Pang , Jeng Wei
Published: October 2023

The poster discusses varying data collection approaches in investigation of an organization's data governance practice of a single case study. The aim is to promote transparency in data governance practice on a case‐by‐case basis and to unveil the circumstances of adapting approaches in data collecting. Four distinct data collecting approaches were utilized in this study, each tailored to diverse needs and scenarios, including group interview, design‐thinking workshop, semi‐structured interview and field study. Clarifying the rationale of taking certain approaches, the research team aims for providing the benchmark for future data governance research.
Digital Information Service to Combat Violence against Women: The Comunica Mulher Project
Authors: Costa Michelli
Published: October 2023

The present study discusses the methods and outcomes of a project conducted at the University of Brasília with the aim of providing information services to the community of the Federal District (Brazil) on COVID‐19 prevention and vaccination, as well as addressing domestic violence. Employing social marketing strategies, such as content marketing and viral marketing, the project sought to disseminate pertinent information and engage the target audience through social media platforms, primarily Instagram. The content marketing approach entailed the creation and distribution of reliable information utilizing authoritative sources and visual resources, such as illustrations, graphs, infographics, and diagrams. Simultaneously, the viral marketing strategy endeavoured to identify emerging subtopics of interest by leveraging the Google Trends tool and relevant commemorative dates. These integrated strategies yielded a remarkable 700% surge in the project's Instagram account reach alongside heightened audience engagement. The study concludes that community information services should prioritize the dissemination of contextually relevant information for various population segments, particularly those that are historically marginalized.
ChatGPT Media Coverage Metrics; Initial Examination
Authors: Delellis Nicole S. , Chen Yimin , Cornwell Sarah E. , Kelly Dominique , Mayhew Alex , Onaolapo Sodiq , Rubin Victoria L.
Published: October 2023

This paper presents an overview of coverage of OpenAI's ChatGPT in media outlets from November 2022–March 2023, a comparison to previous media coverage of the chatbot Tay across the same outlets, and a count of ChatGPT media articles pertaining to government legislation and regulation. The New York Times, Wired, Gizmodo, The Globe and Mail, and The Guardian were searched for coverage. Across all five outlets there is an uptick in media coverage surrounding ChatGPT, with total numbers of included articles per month being 0 in November, 39 in December, 68 in January, 104 in February, and 143 in March. Findings exemplify the trend of increased coverage of ChatGPT in media public discourse, which contrasts with previous smaller media coverage of Tay. Examination of headlines and subheadings of included articles reveals minimal coverage (5.7%) dedicated to government legislation of ChatGPT. Future research will evaluate what is being said about ChatGPT within these media outlets.
Comparing the Writing Styles of Multiple Disciplines: A Large‐Scale Quantitative Analysis
Authors: Dong Shuyi , Mao Jin , Pei Lei
Published: October 2023

Investigating the writing styles of different disciplines is crucial for comprehending the scientific language in scholarly communication. This study examines the variations in scientific writing styles across disciplines using a large‐scale analysis on 14 million abstracts from the Microsoft Academic Graph database. Writing styles are quantified in four aspects: symbolic, lexical, syntactic, and readability. The t‐tests were employed to explore potential trends in the evolution of writing style and investigate linguistic differences across disciplines. Results indicate an overall trend towards increasing complexity and informativeness in writing, with significant changes observed in Biology, Chemistry, Computer Science, and Psychology. Disparities of linguistic features in writing styles were observed across disciplines. The findings shed light on the distinct language use in scholarly communication across disciplines.
Comparing Crisis Communication on TikTok and YouTube: A Case Study of the 2023 California Floods
Authors: Duan Yiran , Khoury Christy , Smith Alexander O. , Joh Una , Hemsley Jeff
Published: October 2023

In January 2023, heavy California flooding prompted users to capture and share video footage of their impacted surroundings. This preliminary study uses this crisis event to compare commenting behavior across three video content formats: YouTube videos, YouTube shorts, and TikTok videos. Using network and regression analysis to study 45 videos across these three formats, we find that users commented and replied to others more on YouTube than TikTok despite TikTok videos having more views than YouTube videos. Additionally, we find the most vibrant comment behavior under YouTube shorts. This work provokes additional research to understand the exact ways in which platform design and affordances can influence crisis communication around a specific event.
Digital Humanistic Crowdsourcing of Gamification Based on Interactive Digital Narrative: Taking Henan Yuediao Opera as a Case
Authors: Fan Zhenjia , Li Han , Yang Lijuan
Published: October 2023

In the “intangible cultural heritage” digital humanities project, crowdsourcing plays a key role. Based on the related theories of gamification and narrative, it takes the traditional Chinese opera Henan Yuediao as a case, designs a humanistic contextualized crowdsourcing platform based on interactive digital narration, and tests its usability and feasibility. The research is conducive to promoting the in‐depth mining and utilization of archives.
How China Governs Data: Evidence Mined from the Central Government Policy Documents
Authors: Huo Fanfan , Huo Chaoguang
Published: October 2023

Data governance policy is of great importance for the development of digital economy. This paper proposes a four‐dimensional policy mining framework to analyze the 1,097 central data governance policies. We depict the development trajectory, analyze the policy subjects involved into the policy‐making, trace the sources of policy, and characterize the policy tool structure based on the policy coding. We find that the core departments of data governance policy making need to strengthen the awareness of data governance; Policy‐making should source enough convincing and authoritative policies to strengthen the long‐term effectiveness and impact policies; There are imbalances and deficiencies of policy tool structure. It provides reference for other countries in data governance.
A Mild Approach to Prebunking Health Misinformation in Social Media: Digital Nudging
Authors: Li Xinyue , Liu Mandie , Lian Jingwen , Zhu Qinghua , Song Xiaokang
Published: October 2023

The governance of health misinformation has been a hot topic in both social practice and academic research. Due to its proactive and timely nature, prebunking represents an emerging and efficacious intervention. However, previous research on prebunking primarily focuses on presenting arguments or techniques to the public in a direct and coercive manner, which remains limited in its scope and efficacy. This study aims to implement prebunking in social media by utilizing a milder approach, namely digital nudging. We conduct a web‐based pre‐experiment to test the effectiveness of warning, social and disclosure nudge, and obtain data from 104 participants. The preliminary results show that the warning and social nudge can mitigate the credibility of misinformation and decrease individual's sharing likelihood. Furthermore, eHealth literacy acts as the moderator in the impact of social nudge. This study broadens the comprehensions of the misinformation governance and digital nudging, and furnishes practical implications for the implementation of prebunking in social media.
How Digital Humans Help Libraries Promote Reading
Authors: Liang Shaobo , Wu Dan , He Xiaoyang
Published: October 2023

This study investigated how digital humans can help libraries promote reading. This study recruited 103 participants for a user experiment to explore their satisfaction with reading promotional videos using digital humans. At the same time, the effect of using digital humans in library reading promotion was analyzed from the perspective of whether users are willing to share and interact. Research has found that user satisfaction with them is not high due to digital human presence in their voice and intonation. But users are more interested in using anime digital human videos. This discovery can help libraries better carry out reading promotion and digital services.
Information Borderlands in the U.S. Southwest
Authors: Lischer‐Katz Zack
Published: October 2023

This paper proposes “information borderlands” as a framework for bounding a unique information environment that is constituted by individual and community level practices, physical landscapes (natural and human‐shaped), as well as large‐scale sociotechnical systems and systems of documentality. Taking the borderlands of the U.S. Southwest as a unique case, existing research literature is reviewed and directions forward for future research are suggested.
Social Network Analysis of Misinformation Spreading and Science Communication during COVID‐19
Authors: Liu Jieli , Regulagedda Ravi Maithrey
Published: October 2023

The outbreak of COVID‐19 has resulted in an increase in health misinformation spreading on social media, emphasizing the need for effective science communication to combat this issue. This study aimed to analyze the relationship between misinformation spreading and science communication network. We identified misinformation spreaders, scientists, and laypeople from COVID vaccine‐related tweets, and we carried out a network analysis to examine the ingroup and intergroup interactions. We found that individuals in all three groups tended to interact with people who were dissimilar to them. Additionally, we found that the spreading of misinformation and the science communication network are polarized. Finally, suggestions were provided to achieve higher engagement in science communication.
Solidarity and Care: Information Activism in the Death Panel Podcast Community
Authors: May Emma
Published: October 2023

This poster highlights the connections between independent media, information activism, and disability through a case study of the podcast Death Panel and its listeners. Death Panel is a leftist podcast that explores issues of affordability in medical care and the dearth of public health resources. The ongoing project explores the independent media created by disabled people that concern their frustrations with societal and governmental neglect, and their desires to build community and a collective political movement for social change. Since the COVID‐19 pandemic, the podcast's listenership has grown substantially. Similarly, the number of members in the Death Panel Discord group has increased to over 2,000 members over the past two years. As of February 21st, 2023, there are 2,954 members in the Discord server. For many members, especially those who are disabled and chronically ill, the podcast's Discord has served as a significant site of politicization and community‐building during the COVID‐19 pandemic. Through semi‐structured interviews, this project will explore the political and activist implications of information for marginalized people.
Seven‐Layer Model for Creating Organizational KM Excellence
Authors: Nakash Maayan , Baruchson‐Arbib Shifra , Bouhnik Dan
Published: October 2023

This paper proposes a practical seven‐layer model that provides a holistic framework for creation an optimal foundation for organizational knowledge management (KM). The research corpus consists of three data collection tools; In the physical field we conducted personal interviews and a focus groups with 52 KM professionals. In the online arena we conducted a web ethnography, in which we surveyed tens of thousands of posts and comments which were posted in two virtual KM groups on the Facebook social network. The research is based on the qualitative‐constructivist paradigm. The data were analyzed according to the thematic analysis method, relying on the grounded theory approach. The proposed conceptual framework contributes to the empirical knowledge of the KM field, and may stand to guide practitioners in successful implementation of KM practices in organizations.
Community Validation as a Method to Establish Trustworthiness in Qualitative LIS Research
Authors: Salzano Rachel , Hall Hazel , Webster Gemma , Brazier David
Published: October 2023

A core aspect of the scientific process is the verification of the credibility of findings. In research with a qualitative and mixed methods approach, there is ongoing discussion on the most effective method to validate results. Discussed in this poster is the efficacy of community validation as a novel method to determine trustworthiness of research findings. This involved research with ‘not‐yet‐participants’ to explore the accuracy of researcher findings from analysis of interview data collected in an earlier exercise from a different, but related, community of informants. The use of community validation here resulted in increased interpretive power of initial results, and of new results to develop understanding of the topic. It is concluded that community validation expands upon current methods of determining trustworthiness in research with a qualitative approach. It is particularly useful for research with participants who are not the population of direct interest, but informants who supply data based on their own observations of the members of the target population, such as Library and Information Science (LIS) practitioners.
Knowledge Organisation Systems in the Humanities—Semantic Interoperability in Practice
Authors: Scharnhorst Andrea , Flohr Pascal , Tykhonov Vyacheslav , De Vries Jerry , Hollander Hella , Touber Jetze , Hugo Wim , Smiraglia Richard , Le Franc Yann , Siebes Ronald , Meijers Enno
Published: October 2023

We observe a growing universe of machine‐readable knowledge organisation systems (KOS) or even wider ‘semantic artifacts. We see at the same time, various attempts to bring semantic artifacts together via registries, catalogues and via cross‐walks among ontologies. This poster reflects how newest research on semantic interoperability informs current practice for research data repositories and registry service providers. We focus on the domain of humanities and cultural heritage, using different examples from Europe and the Netherlands: The European Archaeological Data Infrastructure Ariadne, services of the Dutch Cultural Heritage Network and two Data Stations (for Archaeology and for SSH) hosted at DANS‐KNAW. For those cases we report on current efforts to include ‘semantic artifacts’, together with opportunities and challenges. This poster is a practice report combined with an invitation to reflect about the context of semantic interoperability itself.
Investigating Scientific Misinformation Originating from Retracted Publications and Their Perception
Authors: Stiller Juliane , Terner Senta , Trkulja Violeta
Published: October 2023

Scientific retractions can be an indicator that misinformation is present in a research paper. Retractions are therefore an interesting research object to explore news coverage of misleading scientific information. This poster presents how problematic research (before and after retraction) is portrayed in news outlets, the impact of the retraction on these reports and the relationship of retracted scientific results and the spread of false information. Starting from a list of 270 retracted COVID‐19 papers from the Retraction Watch blog (https://retractionwatch.com), we analysed news articles of 16 retracted publications, that were immensely discussed in journalistic formats. By presenting three different use cases, we show how misinformation emanates from retractions, how problematic research is presented in media and what factors influence the message of the article. Our research contributes to a better understanding of how retractions are used and perceived in propagating scientific misinformation on one hand and in mitigating it on the other.
Exploring Data Justice in Citizen Humanities: Case Studies from Memory Institutions
Authors: Ting Yu‐Ning , Jeng Wei
Published: October 2023

Today, while one sector can effortlessly gain access to data provided by another, there may also be instances of injustice between data producers and decision‐makers. This study applies Heeks and Shekhar's framework of data justice to analyze two humanities and citizen science projects in Taiwan: the collection of old photos by the Taipei Public Library and the citizen archivist project of the National Archives Administration. The study explores data justice issues within libraries and archives and examines the applicability of the data justice framework to citizen humanities projects. The research findings indicate that although there are unequal power dynamics between institutions and citizen scientists regarding data, the selected cases involve relatively straightforward task contexts and individuals, resulting in minimal violation of data rights for citizen scientists. Consequently, these two projects have limited observable instances of data injustice.
Academic Casualization, Precarity, and Information Practices: Initial Findings
Authors: Willson Rebekah , Stewart‐Robertson Owen , Julien Heidi , Given Lisa M.
Published: October 2023

There is increasing recognition of the challenges academics working on short‐term contracts experience, as well as universities' increasing reliance on their labor. While discussions of these issues have expanded, there is a lack of empirical research around the information experiences of contract academic staff. This poster reports on initial findings of a qualitative research project that interviewed 34 contract academic staff (CAS) from across Canada, exploring institutional provisions of information, information practices in the workplace, and how marginalization and social inclusion influence workplace information practices. We present preliminary findings in three themes: precarity and uncertainty necessitate holistic and situational understandings, exclusion and isolation are enacted and experienced on many levels, and uncertainty as a barrier to investment and furthering careers, exploring what these findings mean for contract academic staff members.
Revisiting the Benefits of Duplicate Questions: Evidence from Knowledge Evolution on Stack Overflow
Authors: Zhang Yiwei , Jiang Na , Liu Xiaohui , Zhang Qi , Deng Sanhong
Published: October 2023

Stack Overflow (SO) represents one of the most vibrant Question Answering Communities (QACs), providing a crucial platform for developers to pose and respond to questions. SO preserved duplicate questions due to their potential for furnishing additional insights or suggestions. In this paper, we delve into the study of duplicates within SO, with the objective of unraveling their positive value, particularly through the lens of knowledge networks and the evolution. We propose a categorization of knowledge evolution within QACs into two key dimensions: depth and breadth. Our exploration reveals that duplicate questions play a constructive role in fostering both the depth and breadth of knowledge evolution. This finding illuminates the underestimated value of duplicate questions, underlining their significance for the ongoing expansion of knowledge within QACs.
“Hide and seek”: Misleading transferrin variants in PMM2‐CDG complicate diagnostics
Authors: Raynor Alexandre , Bruneel Arnaud , Vermeersch Pieter , Cholet Sophie , Friedrich Sebastian , Eckenweiler Matthias , Schumann Anke , Hengst Simone , Tuncel Ali Tunç , Fenaille François , Thiel Christian , Rymen Daisy
Published: October 2023

Purpose

Congenital disorders of glycosylation (CDG) are one of the fastest growing groups of inborn errors of metabolism. Despite the availability of next‐generation sequencing techniques and advanced methods for evaluation of glycosylation, CDG screening mainly relies on the analysis of serum transferrin (Tf) by isoelectric focusing, HPLC or capillary electrophoresis. The main pitfall of this screening method is the presence of Tf protein variants within the general population. Although reports describe the role of Tf variants leading to falsely abnormal results, their significance in confounding diagnosis in patients with CDG has not been documented so far. Here, we describe two PMM2‐CDG cases, in which Tf variants complicated the diagnostic.

Experimental Design

Glycosylation investigations included classical screening techniques (capillary electrophoresis, isoelectric focusing and HPLC of Tf) and various confirmation techniques (two‐dimensional electrophoresis, western blot, N‐glycome, UPLC‐FLR/QTOF MS with Rapifluor). Tf variants were highlighted following neuraminidase treatment. Sequencing of PMM2 was performed.

Results

In both patients, Tf screening pointed to CDG‐II, while second‐line analyses pointed to CDG‐I. Tf variants were found in both patients, explaining these discrepancies. PMM2 causative variants were identified in both patients.

Conclusion and Clinical Relevance

We suggest that a neuraminidase treatment should be performed when a typical CDG Tf pattern is found upon initial screening analysis.
Study on the constitutive model of NEPE propellant based on indentation creep
Authors: Liu Zai , Qiang Hongfu , Hui Weiwei , Zhang Yurou , Cao Peng
Published: October 2023

The significance of the mechanical properties of solid propellant during the curing process lies in their contribution to stress‐strain calculations of viscoelastic engineering materials and the analysis of structural integrity of solid rocket motor charges. In order to study the Constitutive equation of the nitrate ester plasticized polyether (NEPE) propellant during the curing process, indentation creep tests were carried out on the NEPE propellant, and the viscoelastic constitutive model of propellant with curing reaction at 50 °C and atmospheric pressure was studied. Firstly, based on the viscoelastic theory, the experimental principle of indentation creep test is deduced, and indentation creep tests are carried out for propellants with different curing degrees. Then, based on 2S2P1D (2 Springs, 2 Parabolic elements, 1 Dashpot) model and time‐temperature equivalence principle, the indentation test data are processed, and the complex modulus master curve of propellant with different curing degrees is established, and the influence of curing reaction on viscoelastic properties of propellant is analyzed, so as to better understand the response characteristics of propellant system during curing. The results show that the 2S2P1D model has a good fitting effect for the master curve in low frequency period, the fitting error is controlled within 10 %, and the correlation coefficients are all above 0.95. With the curing reaction, the complex modulus gradually increases, while the change rate gradually decreases. And it tends to be stable on the seventh day.