bluuebunny/crossref_metadata_2025_split huggingface dataset:
Social Media as Archival Practice and Paradigm Shifter in United States Death Care
Authors: Ludington Jesse 
Published: October 2022

AbstractAs social media becomes more present in the lives of people worldwide, it pervades their deaths as well. Before the Civil War, death and mourning rituals in the United States were largely considered the province of the deceased's loved ones. Following shifts in funerary customs, 21st century Americans are more removed from death care than ever before. Despite this, social media usage patterns have prompted increasingly public digital expressions of grief and mourning. The medium has transformed into a cathartic space for bereaved individuals, with memorialization functions of social media platforms also recasting platforms as sites of preservation. This paper examines account memorialization features of Facebook and Instagram, exploring social media memorialization as archival practice, with a particular focus on the concept of continued use as preservation. By delving into social media phenomena such as context collapse, the paper considers ways public perceptions of death may be shifting in the digital age. In merging the fields of information science and death studies, this paper intends to raise new questions about the potential impact of social media archival practices on the development of more public reckonings with death in mainstream U.S. culture.
Information Intermediaries and Information Resilience: Working to Support Marginalised Groups
Authors: Nicol Emma , Willson Rebekah , Ruthven Ian , Elsweiler David , Buchanan George 
Published: October 2022

ABSTRACTInformation resilience has become a topic of interest to the information science community in recent years. The COVID‐19 pandemic has shone a light on the vulnerability of information and other networks and the impact on information providers and the information seekers who rely on them. In an exploratory study, we interviewed support workers who act as information intermediaries as part of their work roles about their experiences of providing information to vulnerable and marginalised people during the UK COVID‐19 lockdown. We present findings organised in three themes: shifting client information needs and support provisions, adjusting information sharing and communication practices and workarounds for physical information work. Throughout the themes, information resilience is evident as information intermediaries adapt their work practices to ensure they can continue to serve their clients. In this first stage of research our findings provide insight into the changes to information intermediaries' information behaviour and information work during a crisis, as well as the impact of these changes on the services they provide.
How Preprint Affects the Publishing Process: Duration of the Peer Review Process between bioRxiv and Journal Papers
Authors: Tsunoda Hiroyuki , Sun Yuan , Nishizawa Masaki , Liu Xiaomin , Amano Kou 
Published: October 2022

ABSTRACTDuring the COVID‐19 epidemic, the characteristics of rapid sharing of research findings were fully reflected on the bioRxiv platform, which received considerable attention from scholars. bioRxiv currently collaborates with 242 journals, addressing that it can save authors time in submitting papers to journals or peer review services by transmitting their manuscript files and metadata directly from bioRxiv. To see if preprints are altering the publishing process, we compared the duration of the peer review process between bioRxiv and journal papers. This study investigated papers' submission and publication times from bioRxiv to journals (B2J) and authors to journals (A2J) in 119 academic journals from November 2013 to February 2020. Findings reveal that 33 journals exhibited significant differences in the duration time between B2J and A2J papers. B2J papers were published faster than A2J papers in 29 journals, indicating that sharing on the preprint platform could shorten the peer review time.
Information Resilient Society in anAIWorld—IsXAISufficient?
Authors: Xie Sherry L. , Gao Yubao , Han Ruohua 
Published: October 2022

ABSTRACTThis paper discusses the role of organizational records management (ORM) with respect to the field of explainable artificial intelligence (XAI) and argues about its necessity and significance. The current trend is to utilize AI to explain AI, including both explanation production and provision. We argue that this kind of approach is not sufficient by itself as it lacks neutrality and localness to explanation recipients, thus ineffective in establishing public trust. We propose the addition of the ORM profession, as an informational 3rd party, to the current and future XAI. We envision that, by working together with XAI performers, ORM contributes to an information resilient AI society. To take on the related responsibilities, the ORM profession must improve its professional expertise and strengthen its professional independence. We call for consensus among individual information professionals and the advocacy of information professional networks to make this vision a reality.
Collecting Diachronic Affiliation Datafor Faculty at HBCUs Using Memento
Authors: Zarrillo Deanna , Kelly Mat , Jackson Christopher , Yan Erjia 
Published: October 2022

ABSTRACTAcademic mobility has accelerated in part due to recent civil rights movements and higher levels of social mobility. This trend increases the threat of brain drain from Historically Black Colleges and Universities (HBCUs), which already face significant logistical challenges despite broad success in the advancement of Black professionals. We aim to examine this threat from a Science of Science perspective by collecting diachronic data for a large‐scale longitudinal analysis of HBCU faculty’s academic mobility. Our study uses Memento, manual collection, and web scraping to aggregate historical identifiers (URI‐Ms) of webpages from 35 HBCUs across multiple web archives. We are thus able to extend the use of “canonicalization” to associate past versions of webpages that resided at different URIs with their current URI allowing for a more accurate view of the pages over time. In this paper we define and execute a novel data collection method which is essential for our examination of HBCU human capital changes and supports a movement towards a more equitable academic workforce.
Examining Transparency, Due Diligence, and Digital Inclusion as Resilient Values for Provenance Research Work
Authors: Buchanan Sarah , Bartley Jane , Bennett Danielle , Campbell Elizabeth , Niu Jinfang , Reed Victoria 
Published: October 2022

ABSTRACTIn response to the rising calls for transparency in displaying collections information, an ongoing research project is developing and studying provenance research methods in four domains, which cross museum and archive settings and their legal oversight in the United States: art collections (furthermore colonial era and Nazi‐looted era), special collections and manuscripts, Native and Indigenous research, and local or rural history collections. We illustrate three resilient values underpinning successful or at least informative provenance research: transparency, due diligence, and digital inclusion. Together the values, when practiced further, will guide information professionals towards researching collections provenance more effectively according to internal and public‐facing goals.
How Do Adult Digital Literacy Curricula Address Problematic Information?
Authors: Bugre Charles , Wedlake Stacey 
Published: October 2022

ABSTRACTPublic libraries, nonprofits, and community organizations are key providers of digital literacy and technology education in their communities. Given that they play a crucial role in helping persons outside formal education to navigate the digital world, these organizations have the potential to be key players in addressing problematic information. These institutions could provide critical support in this area since they teach people to use information and communication technologies and how to find, evaluate, create, and communicate information effectively and efficiently. This poster explored how seven digital literacy curricula for adults address problematic information. We found problematic information related lessons were siloed from other lessons on social media or online searching, and these curricula do not use current best practices for evaluating information but rely on older information literacy models.
Identifying Immediate Impact Disciplines and Journals by Combining Three Citation‐Based Indicators
Authors: Chang Yu‐Wei 
Published: October 2022

ABSTRACTThis study identifies immediate impact disciplines and journals by using a new indicator, which combines the journal impact factor (JIF), five‐year impact factor (5‐year IF), and immediacy index (II). Although the numbers of immediate impact journals in both the natural sciences (NS) and social sciences (SS) have increased, NS disciplines have a higher average level of immediate impact than SS disciplines. Among 12,272 NS and SS journals indexed by the 2020 version of Journal Citation Reports, most (62.7%) exhibited the highest value of journal impact in 5‐year IF and lowest value in II, followed by journals with a JIF value higher than that of 5‐year IF (34.3%). Although only 113 journals (0.9%), including SS journals, had the highest value in II and the lowest value in 5‐year IF, the finding rejects the stereotype regarding the nonimmediate impact of SS journals.
Reading Between the Lines in Discussing Multicultural Books for Children: Preliminary Results
Authors: Choi Yunseon , Drouillard Colette 
Published: October 2022

ABSTRACTSelecting multicultural books for children is very important because multicultural literature helps children understand the issues of cultural diversity and gender biases. This study is a part of a larger research project that aims to build a culture‐rich environment in organizing and selecting books for children. In this study, we investigate whether the sentiments in online reviews of children's multicultural literature would represent readers’ opinions on the books and whether readers’ positive, negative, or neutral attitudes would be directly associated with the overall ratings of books. The preliminary results show that the review rating scores did not accurately indicate readers’ minds in discussing books. This study has an implication of increasing awareness of the ethnic or racial minority themes in children's literature by uncovering readers’ minds in discussing children's multicultural books.
Exploring News Tagging on Spanish Digital Press
Authors: Domínguez‐Delgado Rubén , López‐Hernández María‐Ángeles , Muñoz‐García Francisco‐Javier 
Published: October 2022

ABSTRACTA proper news tagging is essential for a suitable search and retrieval of information by news libraries users, as well as for a suitable web SEO positioning of these media outlets, what is an aspect to take increasingly into account in digital journalism. Through a case study, we carried out a comparative exploratory analysis on how the most read Spanish online newspapers assign the tags which identify the informational content of their news, given the scarcity of this kind of empirical studies and the enormous importance of this task in the field of news librarianship. The resulting data demonstrate the need for specific training in news librarianship for journalists and the importance of educating media outlets in using controlled vocabularies to ensure an efficient retrieval of news in databases a posteriori.
Who Talked about What Regarding Derek Chauvin’s Trial: A Work‐In‐Progress Analysis
Authors: Duan Yiran , Hemsley Jeff , Smith Alexander O. , Gray LaVerne , Gandhi Dhwani 
Published: October 2022

ABSTRACTThis work‐in‐progress study investigates the information sharing behavior of different levels of Twitter influencers within the context of the #BlackLivesMatter social movement and its related discussions #AlllivesMatter and #BlueLivesMatter during the 2‐week period around Derek Chauvin’s trial. Using qualitative content analysis and quantitative machine learning methods, we analyzed over one million retweets to test if different levels of influencers tend to spread different kinds of information in the discussions around #All/Black/BlueLivesMatter on Twitter. We found out that different levels of influencers tend to spread different information within and between the #All/Black/BlueLivesMatter, and we offer some explanations through the lens of curation logics. We suggest that different levels of influencers may be exposed to different incentives, and be facing different social norms, which leads to different information behaviors. This work‐in‐progress study contributes to updating the theory of curated logics, virality, and influencers, as well as provides empirical data for the discussions of the #BlackLivesMatter social movement and its related discussions of #AllLivesMatter and #BlueLivesMatter.
Measuring Author Similarity by Topic Networks
Authors: Hsiao Tsung‐Ming , Chen Kuang‐hua 
Published: October 2022

ABSTRACTResearchers have applied multiple methods, like co‐authorship and author co‐citation, to measure the relationships between authors and author similarity. These methods play a critical role in various applications of informetrics. A more delicate approach to gauging author similarity improves the related applications. By applying the method developed by the multiplex network, this study investigated how to identify author similarity by the mesoscale structures of author topic networks, which represent an author's research topic by organizing the interactions of the topic terms of their publications. Compared with the co‐authorship relationship and topic‐term similarity results, identifying author similarity by the mesoscale structure of author topic networks provides a better result reflecting how close authors’ research topics are.
An Exploratory Study on Chinese Parents' Concerns about Preschoolers' Use of Digital Devices and Expectations for Digital Literacy Education
Authors: Huang Ruhua , Shi Leyi 
Published: October 2022

ABSTRACTIt is necessary to carry out digital literacy education (DLE) for preschoolers to ensure they can participate in digital life in a safe and healthy way. This poster reports results from a qualitative study of Chinese parents' expectations of DLE for preschoolers. Through semi‐structured interviews with seven parents whose children are aged from 3 to 6, it is found that all parents thought it necessary to carry out DLE for preschoolers. Chinese parents have expectations for the educational practices in kindergartens, but the digital literacy teaching activities in kindergartens are rare at present. In terms of teaching content, Chinese parents pay more attention to how their children could identify bad information and protect personal privacy.
Analysis Of Acknowledgments of Libraries in the Journal Literature Using Machine Learning
Authors: Hubbard David , Laddusaw Sierra , Tan Qiaoyu , Hu Xia 
Published: October 2022

ABSTRACTIncreasing emphasis is being placed on research impact and it has prompted scholars to explore contributions beyond traditional research impact metrics. Acknowledgments, which are formal statements of indebtedness and contribution, within the journal literature provide an additional means to assess impact. This study examines contributions of libraries to the scholarly literature within acknowledgments using a combination of machine learning and manual methods to quantify and characterize acknowledgments.
Evaluating Visitor Engagement through Instagram: A Case Study of One with Eternity: Yayoi Kusama in the Hirshhorn Collection
Authors: Kim Jinyi , Lee Myeong 
Published: October 2022

ABSTRACTMuseums invite visitors to actively engage in exhibitions. However, it is unclear how visitors experience and appreciate exhibitions, because (1) people's motivations and goals to visit museums vary significantly and (2) scholars have yet to standardize a typology of observable visitor experiences. This study explores the potential of social media postings to assess museum visitors' engagement. Images posted on Instagram at an exhibition, One with Eternity: Yayoi Kusama in the Hirshhorn, are examined as a case study to explore visitor engagement using social media. A qualitative analysis of the 964 Instagram images posted for the exhibition suggest that Instagram can surface visitors' experiences with artifacts presented in museums: they enjoy interactive and immersive experiences in the exhibition. This preliminary study implies that there are opportunities to extend this approach to facilitate visitor interactions with exhibitions through social media.
Librarians' Conceptions of Expertise: An Intersectional Exploration
Authors: Hicks Deborah , VanScoy Amy , Julien Heidi 
Published: October 2022

ABSTRACTThis poster describes an interview study with librarians representing a broad range of demographics, career stages, and professional roles. The goal of the study is to explore librarians' perceptions of their own professional expertise, and to analyze those perceptions through an intersectional lens. Intersectionality refers to a theoretical perspective that posits that people's intersecting social identities (e.g., gender, race, age, etc.) relate to their experiences, particularly of marginalization, and to systems of oppression. An intersectional understanding of professional expertise as experienced by library workers can expose existing structures that serve to marginalize or stigmatize some forms of expertise, with a goal to establish more equitable and just information organizations.
A Multi‐Methodological Assessment to Further the Role of Alabama's Public Libraries in Addressing the Opioid Crises
Authors: Mehra Bharat , Viehouser Misha , Jaber Baheya 
Published: October 2022

ABSTRACTThis poster highlights the use of a multi‐methodological approach to assess the role of Alabama's public libraries in addressing the opioid crises. Select findings/results from mixed research methods are reported to document the experiences of Alabama's library staff about their information offerings, activities, and community engagement and analyze web representation of their relevant services. The following research objectives were achieved over a two‐year time‐period (2019–2021): 1) We implemented a quantitative online survey to collect feedback from 36 Alabama's librarians about their community engagement experiences and what past and current role public libraries play in community health building processes. 2) We conducted qualitative interviews and focus groups with fifteen state librarians about their role as community hubs to address the opioid crises. From this dataset we developed a programming taxonomy and engagement prototype to identify preliminary activities, partners, challenges, outcomes, potential actions, resources, and best practices. 3) We conducted content analysis on websites of Alabama's 230 public libraries about availability, engagement, and representation of health information support services to overcome the opioid crises. This poster provides a glimpse of select activities conducted in this regard, reports select findings and results from the various methods used and highlights methodological implications and issues.
The Effects of Collaborative Country and Discipline on an International Research Collaboration Indicator: The Case of the United States
Authors: Nguyen Ba Xuan 
Published: October 2022

ABSTRACTThis study explores the extent that international research collaboration indicators vary according to two factors: countries' global economic levels and type of disciplines. The study examines the case of asymmetric co‐authorship relationships between the United States and its collaborative research countries, measured by the affinity index. The study finds that there is no significant interaction between the two factors surveyed. The discipline factor has a main effect on the asymmetric co‐authorship relationships. No main effect of the country factor categorised by economic level is found, after allowing for the discipline factor. This study contributes to the social science research on the impact of factors on co‐authorship in international research collaboration measurement indicators.
Organizing Common Bean (Phaseolus vulgaris) Research: A Model for Information Resources Integration
Authors: Shobhanee Mahbub , Ram Shri 
Published: October 2022

ABSTRACTCommon Bean (Phaseolus vulgaris L.) an essential nutrition source for protein and is quite common in the Indian subcontinent, China, Brazil, and the USA. Common Bean contains nutritional component which will contribute to the reduction of food scarcity worldwide in the coming years (Nadeem et al. 2021). In recent years, the research trends applying informatics techniques have given opportunities to harness genomic level information for better sequencing, generating a large volume of data. The data is generally being utilized for better crop production and improved varieties. The generated data are stored and developed as databases, web servers, publications, and patents. However, managing data in a helpful way is a challenge. This paper proposes a model for developing an integrated platform that comprehends various Common bean information. The proposed model shall provide curated information resources about Common Bean, facilitating the single platform access. The intended benefits can be visualized as the researcher can find all information in one place to showcase the progress of research taking place in this field.
On the Reliability of Funding Acknowledgements as Research Data: Evidence from Astronomy
Authors: Stahlman Gretchen 
Published: October 2022

ABSTRACTOnline bibliographic databases have enabled new research through which bibliographic records are analyzed as data about science. Within these records, the acknowledgements sections of papers are often used to draw conclusions about funding support for published research. While acknowledgements and funding statements can be informative for research and policy development, this poster adds to a body of literature that highlights limitations of funding data for scientometric and policy research, using evidence gathered from a questionnaire of authors of astronomy journal articles. The study shows that only 71.4% of a sample of authors of papers tied to NSF grants through acknowledgements reported in the survey that NSF funded the research presented in the respective papers. A brief analysis of the questionnaire followed by recommendations and considerations for further research are presented. The discrepancy in reporting appears to indicate that funding streams can be fluid and not always apparent to authors, overall raising the question of what sorts of research should be addressed with funding statements, where conceptually tying a paper directly to a grant is not straightforward.
Rethinking Algorithmic Fairness in the Context of Information Access
Authors: Udoh Emmanuel Sebastian , Yuan Xiaojun , Rorissa Abebe 
Published: October 2022

ABSTRACTThe internet has revolutionized the information seeking landscape, heightening expectations that access to information will hasten the attainment of several of the United Nation (UN)'s sustainable development goals (SDGs), although digital and content divides persist and information access is demonstrably steeped in inequalities, partly due to underlying intricate, complex, and often opaque AI/ML algorithms. While equity in information access remains a long shot goal, this poster asks the fundamental question: can access to information at least be fair? And what exactly does algorithmic fairness mean in the context of information access? Drawing from themes in information search and social informatics, especially the political valence in technologies such as online decision and filtering algorithms, this poster aims to analyze current nuances of algorithmic fairness in order to identify those intricate issues that should inform and constitute any working definition and framework to study algorithmic fairness in the context of information access in an increasingly globalized world.