bluuebunny/crossref_metadata_2025 huggingface dataset:
At the Margins of Epistemology: Amplifying Alternative Ways of Knowing in Library and Information Science
Authors: Patin Beth , Oliphant Tami , Allard Danielle , Gray LaVerne , Clarke Rachel Ivy , Tacheva Jasmina , Lar‐Son Kayla
Published: October 2021

This panel argues a paradigm shift is needed in library and information science (LIS) to move the field toward information equity, inclusion, relevance, diversity, and justice. LIS has undermined knowledge systems falling outside of Western traditions. While the foundations of LIS are based on epistemological concerns, the field has neglected to treat people as epistemic agents who are embedded in cultures, social relations and identities, and knowledge systems that inform and shape their interactions with data, information, and knowledge as well as our perceptions of each other as knowers. To achieve this shift we examine epistemicide—the killing, silencing, annihilation, or devaluing of a knowledge system, epistemic injustice and a critique of the user‐centered paradigm. We present alternative epistemologies for LIS: critical consciousness, Black feminism, and design epistemology and discuss these in practice: community generated knowledges as sites of resistance and Indigenous data sovereignty and the “right to know”.
Conducting and Publishing Research in Developing Countries: Challenges and Solutions
Authors: Potnis Devendra , Gala Bhakti , Lwoga Edda Tandi , Islam Anwarul , Warraich Nosheen , Keah Humphrey , Rorissa Abebe
Published: October 2021

Most of the knowledge in the library and information science (LIS) discipline is created and published by researchers in developed countries. Two roundtable sessions of ASIS&T SIG‐III with the ASIS&T Africa Chapter and ASIS&T South Asia Chapter, in early 2021, confirmed “the lack of a conducive research environment” as the primary reason for this inequality in the discipline and called for systematic efforts, like this panel, to (a) create awareness about this inequality and (b) start building a global support system for LIS researchers in developing countries. In the first 30 minutes of this panel, six LIS scholars with cultural roots, academic training, and research experience in developing countries will illustrate common challenges to conducting and publishing research in developing countries. In the next 30 minutes, attendees will be divided into groups, with each group facilitated by a panelist, to brainstorm solutions for addressing the challenges related to academic training for conducting and publishing research, accessing resources, institutional support, opportunities for research collaboration and funding, fieldwork, analyzing data, composing manuscripts, and finding mentors, among others. In the last 30 minutes, each group will present its findings.
Collaborative Efforts and Success Story of an Open‐Learning Program: Partnership Growth of the Research Data Management Librarian Academy (RDMLA)
Authors: Tang Rong , Boyd Ceilyn , Creamer Andrew , Kriesberg Adam , Martin Elaine , Morin Rebecca
Published: October 2021

Launched in October 2019, the Research Data Management Librarian Academy (RDMLA) addresses the learning gaps in RDM training. Through a unique partnership among practicing librarians, LIS faculty, and industry, the RDMLA has produced a dynamic open learning experience, highlighting the benefits of collaboration and skill‐sharing. This collaboration's success lies in how the project leveraged each partner's strengths and experience while centering on the shared purpose, dedication to equitable learning, and mutual respect among the team members. This panel focuses on the collaborative efforts undertaken by the RDMLA leadership and instructors to develop an open‐access professional development education program. Five panelists will share their experience working on this large collaborative project from varying perspectives, the lessons learned while developing their content, the challenges they encountered, and their understanding of the benefits of such a collaborative endeavor in producing free, open‐access learning to foster a community of practice in RDM.
Motivation, Building Relationships, and the Role of Belonging in Distance Learning
Authors: Williams Rachel , Pollock Danielle , Mainka Agnes , Brinkmeier Michael , Ossovski Elisaweta
Published: October 2021

This SIG‐ED panel addresses the role of belonging in distance learning in a variety of learning contexts, including typical online courses as well as in independent studies and other mentoring contexts. The panel explores the impact of belonging on student success and considers how instructors' choices in course design, technology use, mentoring, and other aspects of distance learning can enhance or detract from fostering a sense of belonging.
Conceptualizing Relevance of Information as a Social Justice Issue: An Interactive Panel Discussion
Authors: Winberry Joseph , Gray LaVerne , Hardy Jean , Jaber Baheya , Mehra Bharat
Published: October 2021

Relevance is a notion whose meaning and purpose have been widely discussed in information retrieval research. The ultimate aim of relevance—what Tefko Saracevic has called the “you know” principle—is to ensure that users have the information necessary to meet their goals. What is often missing from this discussion is a critical assessment of who gets to decide what information is relevant, under what circumstances, and for what purposes—especially in relation to marginalized populations. The limited discussion of social justice in information relevance research is a gap this interactive panel discussion seeks to address. Five emerging, junior, and senior researchers will each identify and outline social justice themes of information relevance (e.g., intersectionality, Black feminist lens, geography, immigration status, and holistic critical relevance) that have been evident in their own scholarship. Audience members will have an opportunity to expand on one of the five themes in concert with a panelist before participants consider together future directions for relevance of information in a social justice context. While each participant may have different definitions of social justice, a broad interpretation of the term will frame the conversation by indicating how information relevance can move society towards a fairer and more equitable future.
A Bibliometric Analysis of the Annual Meeting Proceedings of the Association for Information Science and Technology
Authors: Agarwal Naresh Kumar , Islam Md Anwarul
Published: October 2021

In this study, we analyzed two decades of the proceedings of the Association for Information Science & Technology (ASIS&T) to uncover bibliometric patterns. We found 3,129 publications from 2000–2020, with more than three‐quarters jointly authored. Most authors are from U.S., Canada, and China. Social media and information behavior are the top‐researched areas. The top‐cited journals are the Journal of the Association for Information Science & Technology, Information Processing and Management, and Library and Information Science Research. The findings affirm ASIS&T's move to an international association and point to the growing importance of collaborative work and social media. The study fills the gap in the analysis of ASIS&T conference proceedings and will help information professionals understand patterns in recent research. This should help guide them in their future research directions.
Management Software for Monitoring Related Versions of Cultural Heritage Artifacts for Libraries and Museums
Authors: Athreya Anousha , Taswell S. Koby , Taswell Carl
Published: October 2021

In cultural object conservation, tracking provenance has served as the foundational method of managing information for historical artifacts. To find data points, archivists identify related versions of an artifact at various time points. In this paper, we discuss four categories with versioned examples to display the importance of data points for identifying patterns over time through events in history, cultural heritage, performing arts, and fine arts. We describe our use of the Ashurbanipal diristry to document scholarly research regarding library tools and technologies for the preservation of cultural objects as well as the implementation of PORTAL‐DOORS Project (PDP) utilities for tracing provenance and distribution of cultural objects and interoperability with bibliographic formats such as BIBFRAME and MARC from existing archival methods.
Actionable Approaches to Promote Ethical AI in Libraries
Authors: Bubinger Helen , Dinneen Jesse David
Published: October 2021

The widespread use of artificial intelligence (AI) in many domains has revealed numerous ethical issues from data and design to deployment. In response, countless broad principles and guidelines for ethical AI have been published, and following those, specific approaches have been proposed for how to encourage ethical outcomes of AI. Meanwhile, library and information services too are seeing an increase in the use of AI‐powered and machine learning‐powered information systems, but no practical guidance currently exists for libraries to plan for, evaluate, or audit the ethics of intended or deployed AI. We therefore report on several promising approaches for promoting ethical AI that can be adapted from other contexts to AI‐powered information services and in different stages of the software lifecycle.
Systematic Comparison of Data Models used in Mapping Knowledge Organization Systems
Authors: Cheng Yi‐Yun
Published: October 2021

This study explores six projects in mapping Knowledge Organization Systems (schemas, taxonomies, ontologies), and examines the data models used in these projects. We discuss (1) the two most common data models presented in these projects, namely tabular model, and tree model; (2) the implicit and explicit information shown in the data models; and (3) the information gains and losses of each model. We found that though the tree model maintains the hierarchical structure of the KOS while a tabular model flattens out the structure, both models can potentially obscure the information of the original KOS. This makes it problematic if we want to reconstruct a mapping project based on the outcomes manifested in either model. Our findings contribute to the Knowledge Organization literature by showing how choices of data models can impact the results in mapping schemas, taxonomies, and ontologies.
Challenges of Ovarian Cancer Patient and Caregiver Online Health Information Seeking
Authors: Chi Yu , Hui Vivian , Kunsak Hannah , Brusilovsky Peter , Donovan Heidi , He Daqing , Lee Young Ji
Published: October 2021

Ovarian cancer (OvCa) patients and caregivers have constant and evolving information needs. To meet their needs, they seek information from various resources, including online health information. Although about 60% of cancer patients are now using the Internet to meet their information needs, little is known about online health information seeking (OHIS) among OvCa patients and caregivers. To address this gap, we interviewed 18 OvCa patients and 2 family caregivers of OvCa patients and conducted content analysis on the transcribed data. We identified three challenges of OHIS: (1) lack of OvCa‐related knowledge, (2) poor quality of online information, and (3) inherent characteristics of OvCa, such as the high complexity and aggressive progression of the disease. The findings deepen the understanding of OvCa patients and caregivers and provide insights to better support their OHIS experience.
Discovery of a Hidden Pattern in Social Discussion
Authors: Choi Yunseon
Published: October 2021

This study investigates whether socially discussed book reviews would help understand the characteristics and features of books in selecting books for children. The study identifies users' interests in discussing books by analyzing the frequency of words used in their book reviews on a social networking site. This study also examines whether the patterns of word frequency would help understand the features of books. The findings of this study identify the aspects of a book that users are concerned about in reviewing the books. The results also reveal that online book reviews help us understand the specific features of books and user behavior in discussing books on a social networking site. This study has implications for providing practical insights into the intrinsic values of users' book reviews in discovering a pattern of social discussion.
Analyzing Readers' Responses to Fake News on Facebook
Authors: Chua Alton Y.K. , Chen Xiaoyu
Published: October 2021

This paper investigates how different framings of fake news on social protests are related to readers' responses on Facebook. A 2 (news standpoint: pro‐protest vs. pro‐establishment) × 2 (violence description: protesters' violence vs. police’ violence) within‐participants web‐based experimental survey (N = 90) was used to study readers’ intention to like, share, and comment on Facebook. Results suggested that exposure to different framings of fake news led readers to respond differently on Facebook. Moreover, the intention to click “Like” did not necessarily translate to the intention to click “Share” or “Comment” and vice versa. This paper concludes with theoretical implications, practical implications, and limitations.
Boundary Crossing in Online Community of Practice: “Between Art and Quarantine”
Authors: Dedema Meredith , Fichman Pnina
Published: October 2021

“Between art and quarantine” became a popular social media challenge during the COVID 19 lockdown. Thousands of users posted art recreations and formed several online communities of practice (CoPs) around this common interest. The boundaries of some of these CoPs are more permeable than others and they all utilize Instagram visual affordances to cross language barriers. We aim to gain a better understanding of the unique boundaries within and between these CoPs and their boundary crossing processes. Initial analysis of 1,555 posts reveals patterns of overlap and the roles of boundary brokers and boundary objects; yet, further in‐depth analysis is still needed, to gain a better understanding of the visual and cross language boundary crossing that is at play within and between these CoPs.
A Peek into the US Informal STEM Landscape through Theconnectory.org
Authors: Deimen Sebastian , Cui Hong , Higgins Michelle
Published: October 2021

It's well‐known that informal STEM learning is a critical component of STEM education. However, there is not a comprehensive directory, at the state or national level, listing informal STEM programs offered in the US. This makes it difficult to assess the national landscape of informal STEM programs. Theconnectory.org is by far the most comprehensive listing that aims to connect learners and volunteers to informal STEM learning opportunities. In this poster, we present the results from a data analytics project using the informal STEM program information collected through theconnectory.org API to sketch a preliminary picture of what kind of programs are offered and what audiences are targeted. Theconnectory.org has the potential to become a primary resource for STEM learners, educators, and policymakers. There are ways the ASIST community (faculty and students) can help enrich this resource.
Information Organization and Information Retrieval in the LIS Curriculum
Authors: Dobreski Brian , Zhu Xiaohua , Yang Tao , Ridenour Laura
Published: October 2021

Within LIS programs, information organization (IO) and information retrieval (IR) serve as foundational topics of instruction. While traditionally represented by required, dedicated courses in LIS curricula, they may now appear as a combined course or in combination with other topics across required courses. The present analysis of 58 IO/IR‐related course syllabi is part of a larger project examining the interrelation of IO and IR instruction across current ALA‐accredited LIS curricula. Preliminary results presented here show significant IO and IR coverage in a range of course types, as well as the heavily applied nature of IR instruction and the movement of IO instruction toward more emergent topics.
Street Art as Visual Information: Mixed Methods Approach to Analyzing Community Spaces
Authors: Dozal Laura W.
Published: October 2021

This paper uses a mixed method approach to analyze how a community space can be perceived by a visual information via physical spaces. In this analysis, Street Art images are considered as a type of visual information that can represent a specific perception of a community as a member of a community space. While understanding community attributes through perceptual tools we can use social network analysis methodology to understand how different neighborhoods are connected and how they might differ. The results show that specific neighborhood traits, urban, population, culture contribute to stronger ties within the Street Art community network.
Information Flow and Social Organization in a Bitcoin Discussion Network on Twitter
Authors: Færch Celina Jepsen , Sen Poon Sze , Yunqian Tian
Published: October 2021

This study investigates the information flow and social organization in a Bitcoin discussion network on Twitter (BDN), using social network analysis to examine user‐user interactions. Results suggest that BDN presents a heterogenous degree distribution, where most users have few interactions. A myriad of weakly defined but well‐connected subcommunities enables efficient information flow in the network. BDN emanates a small‐world effect, without the dominance of a few influential users. “Star‐power agents,” such as Elon Musk, are popular references among users, but the network is driven bottom‐up by smaller “two‐sided” users. This explorative study demonstrates how the classification of different users can be used in analyzing online communities. Future research could compare the network structure of BDN with other networks and utilize sentiment analysis to analyze the quality of information.
Is Gamification Effortful? A Study in the Crowdsourcing Context
Authors: Goh Dion Hoe‐Lian , Dan Yi , Huang Tiantian , Zhang Mengtian , Lee Chei Sian
Published: October 2021

Researchers have claimed that gamification adds to the workload of users, potentially influencing their perceptions of effort and performance expectancy negatively. Through an experimental study which compared a gamified and a non‐gamified mobile app for crowdsourcing restaurant reviews, we found participants had similar perceptions of effort and performance expectancy, contrary to expectations,. Interestingly, participants perceived reviews in the gamified application to be more accurate. There were also more reviews made in the gamified application.
Radical Empathy in the University Archives: Examining Archival Representations of Chinese Students from 1906 to 1920
Authors: Han Ruohua , Han Yingying
Published: October 2021

With the increase in Anti‐Asian hate crimes in the United States in 2020, it is essential for information institutions to reflect on how they are confronting the oppression of Asian communities. Guided by the concept of radical empathy, we conducted an analysis on how historical Chinese students at the University of Illinois were documented and described in the university's archives. Relevant archival materials, descriptive metadata, and additional archives‐generated materials were examined to identify potential representation issues. The preliminary findings include: (1) Chinese students are mostly visible in registers and yearbooks, with some well‐known alumni also appearing in newspapers and correspondence; (2) Some culturally insensitive terms occasionally appeared in historical student newspaper articles; (3) Name variations related to Chinese “courtesy names” and hyphenations can lead to challenges in creating descriptive metadata and affect the discoverability of Chinese students in the archives.
Clusters, Stars, and Hashtags: Understanding Librarians’ Professional Online Networks
Authors: Hicks Deborah
Published: October 2021

Twitter serves as a platform for librarians to connect with each other and discuss, debate, and find consensus around professional issues. Using Social Network Analysis and participant interviews, the Twitter conversations that coalesced around the hashtags #NoHateALA and #IStandWithALA, with particular attention to the role of central actors, are examined. Findings reveal that five Twitter accounts were responsible for 75.5% of all posts under these hashtags out of 1693 posters. In interviews, some of the central actors indicated that their centrality in these networks was deliberate and part of a larger activist agenda. Understanding the depth and breadth of the online network, alongside an understanding of how and why the central actors took on such important roles in the network sheds light on how librarians use online tools to connect and debate professional issues and effect important professional changes.
What Does Channel Say? Understanding How Social Media Social Capital Facilitates COVID‐19‐Related Information‐Seeking and Opinion‐Expression on Two Types of Platforms: User‐oriented versus Content‐oriented
Authors: Hu Junwen
Published: October 2021

Social capital (i.e., resources obtained from social relationships) facilitates informational use of media, yet how in detail the mechanism functions in a multi‐platform social media environment remains underexplored. Taking an affordance approach, this study aimed to investigate the differentiated effects of social media social capital on COVID‐19‐related information behaviors on user‐oriented and content‐oriented social media (USM&CSM). It was hypothesized that information exposure on USM mediates the relationship between social capital and information‐seeking intention, whereas exposure on CSM was expected to mediate the relationship between social capital and opinion expression. Web‐based survey data collected among Chinese social media users (N = 256) supported the hypotheses, and in‐depth interviews (N = 15) further revealed how people explored the affordances of different platforms to enjoy the information resources. Implications were discussed.
A Critical Discourse Analysis of the Hashtag #WeAreAllIsraaGhrayeb on Twitter: An Exploration of Honor Killing Crimes in Palestine
Authors: Jaber Baheya
Published: October 2021

This research investigates a crucial social justice concern “honor killing” that are affecting women worldwide especially in Palestine. Feminist theory and critical theory provide a lens to explore issues of gender inequality, patriarchy, and oppression. The researcher utilized qualitative research method based on critical discourse analysis of the Twitter hashtag #WeAreAllIsraaGhrayeb between August 22 – September 22, 2019. Analyzing the tweets identified three themes: tweeters' anger and frustration against the killing of Israa Ghrayeb, the impact of honor killing crimes within the Palestinian community, and an urgent call for justice by action. The author is a participatory action researcher (PAR) who gained an experiential understanding and deeper insights of cultural relevance to address contemporary issues and to contextualize a cultural reality to benefit stakeholders (i.e., entities or individuals who witnessed the horrors of honor killing) by developing a strategic action plan that can bring social change leading to a just society.
Appraising Research Data for Long‐Term Preservation: An Analysis of Research Data Collection Policies
Authors: Kim Jeonghyun , Faulkner James
Published: October 2021

Traditionally, research data has been managed independently by individual researchers and only shared at the discretion of the researcher upon request. Appraisal and selection of research data has become a major issue in recent years as the number of data types and volume of data have grown greatly, but little empirical study has been done regarding how academic libraries document their research data appraisal practices. This study surveyed academic libraries' research data collection policies, which govern the identification, appraisal, and selection of research data. A total of 17 academic libraries' research data collection policies were examined in this study.
Synchronous Ideation Workshop with Rural Library Professionals to Envision Future Makerspaces
Authors: Kim Soo Hyeon
Published: October 2021

Ideation can support the development of educational programs and services at public libraries. Prior studies on ideation workshops focus on face‐to‐face settings; less is known about synchronous ideation workshops with library professionals with limited design experience. This paper reports on the results of a reflective case study of an online ideation workshop with three rural library professionals to envision future makerspaces. Preliminary findings suggest design considerations for a synchronous ideation workshop around librarian experience, design space, and technology.
Out of the Past: The Challenges of B.C.E. Dates in Metadata
Authors: Klose Annamarie C. , Goldstein Scott , Levy Morris
Published: October 2021

While well‐established standards for encoding date metadata exist, Before Common Era (BCE) dates, previously referred to as Before Christ (BC) dates, are a challenge. Libraries, archives, and museums have a rich variety of artifacts from this era. However, the lack of encoding or underuse of available standards hinders the ability to search and browse for this content. While several metadata standards support encoding of BCE dates, the full capability is often not exploited. By analyzing metadata in the Digital Public Library of America (DPLA, https://dp.la/), the authors examine the benefits and limitations of the Extended Date Time Format (EDTF) and related interoperability issues.
Public Engagement with Science via Social Media: A Case of Communicating the Pandemic on Twitter
Authors: Knox Emma , Hara Noriko
Published: October 2021

The poster describes a project which analyzes interactions between laypeople and experts via social media. Our aim is to understand how experts and the general public interact with each other on social media, and how we can use current data to improve these interactions in the future. We created a Twitter bot to obtain data from 15 COVID‐19 experts and 7 federal government‐sponsored public health organizations from English‐speaking countries. The data were analyzed in R to investigate the relationships among Followers, Favorites, Retweets, and Hashtag Count per tweet. The preliminary analysis indicated statistically significant differences between various variables including: Number of Favorites, Number of Retweets, Number of Hashtags, and Number of Followers; the results shed light on the current relationship between the public and experts on social media.
Understanding the Temporal Effects on Tweetcussion of COVID‐19 Vaccine
Authors: Lee Chei Sian , Goh Dion Hoe‐Lian , Tan Han Wei , Zheng Han , Theng Yin Leng
Published: October 2021

In the fight against COVID‐19, the Pfizer and BioNTech vaccine announcement marked a significant turning point. Analysing the topics discussed surrounding the announcement is critical to shed light on how people respond to the vaccination against COVID‐19. Specifically, since the COVID‐19 vaccine was developed at unprecedented speed, different segments of the public with a different understanding of the issues may react and respond differently. We analysed Twitter tweets to uncover the issues surrounding people's discussion of the vaccination against COVID‐19. Through the use of Latent Dirichlet Allocation (LDA), nine topics were identified pertaining to vaccine‐related tweets. We analysed the temporal differences in the nine topics, prior and after the official vaccine announcement.
A Survey of Exclusively Data Journals and How They Are Indexed by Scientific Databases
Authors: Li Kai , Lu Chuyi , Jiao Chenyue
Published: October 2021

As data becomes omnipresent in the scientific system, a new academic genre aiming to describe data objects (data papers) and the venue to publish these articles (data journals) gradually emerged from the end of the 2000s. However, it is largely unknown how much these scientific outputs are indexed in scientific databases, which has greatly prevented them from being thoroughly studied in large‐scale, quantitative studies. This poster presents our preliminary efforts to address this gap, by compiling a list of data journals that primarily accept data papers (i.e., exclusively data journals) and examining their presence in four major scientific databases. Our results indicate that exclusively data journals are comprehensively indexed in Crossref and Dimensions, two relatively new scientific databases, which can be used to conduct future studies on data papers and journals. The next steps of our project are also discussed in this poster.
XR Accessibility Initiatives in Academic Libraries
Authors: Lischer‐Katz Zack , Clark Jasmine
Published: October 2021

Virtual reality and other extended reality (XR) technologies are being integrated into academic libraries to support research and teaching in innovative ways; however, new technologies are often adopted without considering disabled users. XR accessibility depends on establishing appropriate policies and best practices. This paper examines the current state of XR accessibility initiatives in academic libraries by reporting findings from a survey sent to the academic library community from February to May 2021.
Exploring the Computational Recovery of the Typographical Logic of Book Indexes as Paratext for Improving Navigation within Digitized Historical Texts with Semantic Model
Authors: Liu Huapu , MacCall Steven , Lewis Nicole
Published: October 2021

The rapid growth in the number of digital texts has posed challenges for information professionals to make them more navigable and usable. These challenges have prompted researchers to develop different approaches to creating semantic descriptions for these resources aiming at more efficient and effective navigation and granular access to specific textual content. In this poster, we report on ongoing work that utilizes cluster‐oriented machine learning algorithms to recover the logical relationships embedded in the typographical layout of book indexes, structures that are lost when standard page‐level OCR scanning techniques are deployed on the index pages of digitized historical books. Recovering typographical logic would aid in the construction of semantic representation of indexes that can provide granular access to digital texts thus improving textual navigation.
Modeling the Preferences of Demographical Reading History: A Primary Case Study of a Public Library in Shanghai
Authors: Lou Wen , Chen Jingjing
Published: October 2021

Reading habits are influenced by various aspects, such as personal characteristics, reading history and book characteristics. It remains uncertain that which factor determines reader's choice. In this primary work, we attempt to model the preferences based on readers’ demographical information to examine the impact factors on their reading habits. We selected all the reading information of Shanghai Pudong Library in 2015 as the dataset. By applying the logistical regression and likelihood ratio tests, we found that readers’ stickiness, gender, and books’ publication time significantly influence readers’ preferences. Future work will focus on facilitating the model and expanding the data.
A Structural Topic Model Analysis of Privacy in Mandarin Chinese News: 2010–2019
Authors: Ma Yuanye
Published: October 2021

This poster presents a study that analyzes privacy using a 10‐year privacy news corpus in Mandarin Chinese, using an unsupervised machine learning technique, structural topic modeling (stm). The 13 topics revealed several dimensions for understanding privacy in the Chinese language, including how privacy is concerned, by who, and in what context/domain. This study is one of the first empirically‐rounded explorations of the concept of privacy in the current Chinese language. Findings from this study could be used to further the discussion and investigation to understand privacy as an intercultural information ethics concept.
Towards Identifying, Understanding and Controlling Cumulative Revelations in Social Media
Authors: Nicol Emma , Htait Amal , Azzopardi Leif , Moncur Wendy
Published: October 2021

Every day, people post information about themselves and others on online social networks, making such information accessible within their social circles but also, potentially, way beyond. While the information posted may seem benign or innocuous, small pieces of information, when tied together, can potentially reveal much more about the person than intended. Such cumulative revelations could expose them to risks such as identity theft, fraud or loss of employment. This paper describes findings from interviews about people's online interactions, focusing on their requirements and desires for improved ways to identify, understand and control cumulative revelations arising from their social media profiles that could put them at risk of grave consequences. These findings motivate our future work on how to better raise awareness among social media users of the risks and consequences to which combinations of posts may lead.
Breaking the Information Cocoon: When Do People Actively Seek Conflicting Information?
Authors: Peng Hanqi , Liu Chang
Published: October 2021

Influenced by existing beliefs, people are often biased in favor of information that supports their attitudes, intensifying the information cocoon effect. To break information cocoon and promote open‐minded searches, it is important to guide seekers to approach to conflicting information and formulate critical thinking. This study aimed to examine when and why people actively seek conflicting information using grounded theory. Specifically, we interviewed 13 people who have experiences of actively seeking conflicting information. All the transcript data were coded for analysis. The results demonstrated that context, user characteristics, and motivation were the three main factors that led users to seek conflicting information actively and influenced seekers' preferences of information. Finally, we define this type of search tasks as “attitude tasks,” and call for more attention on this type of tasks.
Where Did They Come From? On Global Mobility of Chinese Returnees
Authors: Peng Yingzhen , Lou Wen , He Jiangen , Larivière Vincent
Published: October 2021

This study investigates the scientific mobility of Chinese returnees. Based on an analysis of scientific affiliation data in the Web of Science between 2008 to 2019, the paper explores the distribution of Chinese returnees from temporal and regional perspectives. The results confirm that there is an increasing number of Chinese migrant researchers who return home, and that mainly come back from developed countries.
Makerspaces Designed for All: Creating Equitable and Inclusive Learning Environments in Libraries
Authors: Anderson Amelia , Phillips Abigail L.
Published: October 2021

In this Institute of Museum and Library Services (IMLS) funded study, the authors investigate ways in which to bring about more inclusive and equitable makerspaces in public libraries (Brady, Salas, Nuriddin, Rodgers, Subramaniam, 2014; Yi & Baumann, 2018). Public librarians, librarians with disabilities, and disability self‐advocates were interviewed and took part in focus groups. In doing so, researchers worked to hear directly from members of the disability community and to learn from librarians at the intersection of disability, through their work or through personal experiences. This work‐in‐progress study has completed the majority of its data collection and is beginning in‐depth data analysis. Although still developing themes and takeaways, there has been initial findings that can be of benefit to the larger library and information science (LIS) community. Individuals with different needs and abilities should be represented when designing and providing a makerspace. While this study focuses on public libraries, it has implications for makerspaces in all libraries and similar learning environments.
Preliminary Simulation for Obtaining Accurate Heart Rate Data Using Imputation Methods
Authors: Ramnarine‐Rieks Angela , Deshmukh Avin , Sang Yisi , Lugo Daniel , Xu Sichun
Published: October 2021

Increasingly data acquired from consumer activity trackers are being used by clinicians to monitor and treat patients. There are many reported cases where medical doctors leverage data retrieved from these devices to successfully treat and diagnose patients with heart conditions. In addition, hospitals are testing these devices in clinical trials to support telemedicine. One challenge is sensor susceptibility to distortions, resulting in missingness and impacting on validity. In this study we are exploring optimal methods of imputation through an experimental simulation using heart rate interval data. For this initial methodology we are utilizing Fitbit heart rate data to investigate performances of four imputation methods using 1,000 Monte Carlo runs. Normalized errors from simulated missingness experiments were determined by comparing observed and predicted values. Preliminary findings show that linear and Kalman imputation methods are most appropriate when imputing heart rate data.
A Conceptual Framework of Data (Info) Quality Revisited
Authors: Stewart Brenton , Ju Boryung
Published: October 2021

This study reports a critical assessment of whether the framework of data (information) quality identified by Wang and Strong's (1996) seminal article continues to hold true in a diverse 21st century information environment. Our study attempts to identify the salient changes that have taken place since Wang and Strong's analysis by exploring wiki contributors' perceived information quality on Wikipedia. An online qualitative survey was conducted with 197 respondents who are Wikipedia readers and/or contributors. Our preliminary results from the unidimensional data analysis reveal over 20 information quality dimensions including a new category, with multiple dimensions.
Collaborative Approach to Translating Online Learning Content: Research Data Management Librarian Academy (RDMLA) and National Taiwan University (NTU) Library Translation and Co‐Creation Partnership
Authors: Thomas Ashley , Hu Zhan , Tang Rong
Published: October 2021

The Research Data Management Librarian Academy (RDMLA) is a global professional development online program for librarians and other professionals working in research‐intensive environments. To reach a broader learner community, the RDMLA team established a Chinese translation partnership with the National Taiwan University (NTU) Library in early 2020. Through collaborative problem solving, positive participation, inclusive coordination, and leveraging of teams' strengths, the project has succeeded in its mission, with the translated course due to launch in October 2021. Featuring team workflow illustrations and contributions, this poster covers collaborative translation processes and lessons learned, hoping to inspire similar international partnership projects.
Reddit as a Forum for Social Service Workers
Authors: Tracey Pelle , Rayburn Alexandria
Published: October 2021

Social work professions are increasingly studied as key sites for understanding precarity, affective labor, and the future of care work. However, little research has explored social workers' recordkeeping practices. This study expands on existing research on records and documentation through engaging with users of “R/Socialwork,” a subforum on the internet forum Reddit.com. Utilizing a multimodal approach drawing on participant observation, in‐depth interviewing, and discourse analysis, this research sought to answer the following research question: How do social workers understand their use of and interaction with records? Findings indicated widespread frustration with documentation paradigms in the profession, with variation based on sub‐field and proximity to clinical practice. Users expressed this frustration in a variety of ways, with some utilizing the forum to support entrepreneurial approaches to problems in the field, while others used the site as an alternative form of recordkeeping, documenting their emotional responses.
Moving Past Metadata: Improving Digital Libraries with Content‐Based Methods
Authors: VandenBosch Adrienne , Schmidt Benjamin M. , Matusiak Krystyna K. , Organisciak Peter
Published: October 2021

The growth of text mining and corpus analytic scholarship over large digital libraries brings to light the issues created by text duplication and variation within collections that are not adequately addressed in metadata practices. The SaDDL project was a study examining text duplication and similarity in massive digital library collections. Using the HathiTrust Digital Library, this project aims to reduce the bias that duplication gives rise to. We present the content‐based methods of the project, employing a convolutional neural network classification approach, as well as SaDDL's outcomes. The datasets provided by the project will assist in improving cataloging practice and aid scholars in using large text corpora in research.
Extracting the Implicit Search States from Explicit Behavioral Signals in Complex Search Tasks
Authors: Wang Ben , Liu Jiqun
Published: October 2021

In a complex search task, users often go through different search states during search interactions under complex search tasks. Automatically identify these search states from observable behavioral measures will enhance our understanding of users' cognitive variations and serve as the basis for state‐aware adaptive search recommendations and evaluations. To achieve this goal, this state seeks to extract implicit search states from explicit behavioral signals and explore the possible connection between automatically clustered search states and the existing state typologies developed based on user labeling and expert annotations. The results from our preliminary work indicate that search states and the associated behavioral patterns can be extracted through clustering analysis in multiple datasets, and that the identified clusters/states can be mapped to the states identified via qualitative coding. Our study demonstrates the feasibility of automatically extracting search states and pave the path towards state‐aware adaptive search systems.
Digital Humanities in the Job Market
Authors: Wang Yahan , Zuo Zhiya , Wang Xi
Published: October 2021

This study identifies the degree requirements which employers are looking for and analyzes the common positions in digital humanities job advertisements. Using data from the Digital Humanities Now website from 2012 to 2019, we investigate a total of 933 jobs opening related to the digital humanities field. Total job market demand has been relatively stable, having fallen in the last two years. Our study provides a concrete blueprint for the work needs of digital humanities. We find that internal demand structures of industry and academia is changing over time. Job demands from academia account for about 75%. Most of them needs academic staff and librarians. Data shows that 68% of jobs want PhDs. Digital humanities practitioners should pay close attention to changes in market demand and adjust their professional ability in time. Only in this way can they be well prepared to apply for the job they want.
Understanding New Yorkers' Everyday Life Information Seeking Behavior in the Context of Coping with COVID‐19
Authors: Wu Shuheng
Published: October 2021

This poster presents preliminary findings of a study which examines New Yorkers' everyday life information seeking (ELIS) behavior in the context of coping with COVID‐19. Based on semi‐structured interviews with 10 New Yorkers, this study identified 15 major categories of everyday life information needs, and developed a typology of New Yorkers' preferred ELIS sources. These typologies show New Yorkers' specific ELIS behavior during the pandemic, such as actively seeking information regarding grocery shopping and delivery, health safety guidelines, and current events. Social media became a popular source for immediate, local, and relevant information in New Yorkers' daily lives. These findings could form a knowledge base to inform the development of information services to assist residents of large urban areas in coping with public health crises.
Data Mining on COVID‐19 Vaccines: Side Effects
Authors: You Jing , Shaik Nagma , Chen Haihua
Published: October 2021

COVID‐19 is a pandemic disease affecting billions of people worldwide. Taking vaccines is a most effective approach to gain fully control. Thanks to the coordinated efforts from all over the world, several brands of vaccines targeting COVID‐19 have passed through clinical trials and been brought to the public. Growing numbers of people are taking vaccines and share their feedback on social media, mostly on Twitter. In this study, we used Twitter data to analyze the side effects on each individual and quantify these side effects in a brand‐wise and country‐wise manner. Based on Twitter data, we found that the United States has the largest number of people getting vaccinated, Pfizer is the most widely used vaccine brand around the world and the most frequent side effect is cold. From our analysis, the side effects of vaccines are under controllable and are acceptable, and everyone can join the vaccinated camping without hesitation.
Health Information Seeking on Social Apps among Older Adults Living with Chronic Conditions
Authors: Zhao Mengyuan , Song Shijie , Zhao Yuxiang (Chris)
Published: October 2021

Older adults living with chronic conditions are assumed to have health information needs which further trigger their health information seeking behaviors. Recently, various social apps are increasingly becoming popular among older adults. However, it remains unclear how these older adults seek and evaluate health information in social apps and how the apps support these users’ health information behaviors. By conducting semi‐structured interviews, we explore users’ health information seeking and evaluation behaviors on a popular social app WeChat among Chinese older adults living with chronic conditions.
Tryptophan‐cardanol fluorescent nanoparticles inhibit α‐synuclein aggregation and disrupt amyloid fibrils
Authors: Sunny Lisni P. , Srikanth Priya , Sunitha Anju Kunhiraman , Tembulkar Niyoti , Abraham Jancy Nixon
Published: October 2021

Protein misfolding and aggregation play a vital role in several human diseases such as Parkinson's, Alzheimer's, and prion diseases. The development of nanoparticles that modulate aggregation could be potential drug candidates for these neurodegenerative disorders. Parkinson's disease pathogenesis is closely associated with the accumulation of α‐synuclein oligomers and fibrils in the substantia nigra of the brain. This report discusses the interactions of novel tryptophan‐cardanol nanoparticles with α‐synuclein protein monomers and fibrils. These nanoparticles could effectively disrupt α‐synuclein fibrils and inhibit fibril formation at low concentrations such as 5 μM. The tryptophan‐cardanol nanoparticles inhibit fibril formation from unstructured protein resulting in spherical nanostructures. These nanoparticles could also disassemble amyloid fibrils; the complete disappearance of fibrils was evident after 48 h of incubation with tryptophan‐cardanol. The transmission electron microscopy (TEM) micrographs after the incubation did not show any remnants of the peptide aggregates or oligomers. The thioflavin T fluorescence after the disassembly was diminished compared with that of fibrils also supports the inhibitory effect of the nanoparticles. Also, these nanoparticles did not reduce the viability of the SH‐SY5Y cells. These findings suggest that the tryptophan‐cardanol nanoparticles showed sufficiently high inhibitory activity and may have therapeutic potential for synucleinopathies.