bluuebunny/crossref_metadata_2025 huggingface dataset:
“COVID19 is_”: The Perpetuation of Coronavirus Conspiracy Theories via Google Autocomplete
Authors: Houli Daniel , Radford Marie L. , Singh Vivek K.
Published: October 2021

As the impact of the COVID‐19 pandemic grew in 2020, uncertainty surrounding its origins and nature led to widespread conspiracy‐related theories (CRT). Use of technological platforms enabled the rapid and exponential dissemination of COVID‐19 CRT. This study applies social contagion theory to examine how Google Autocomplete (GA) propagates and perpetuates these CRT. An in‐house software program, Autocomplete Search Logging Tool (ASLT) captured a snapshot of GA COVID‐19 related searches early in the pandemic (from March to May 2020) across 76 randomly‐selected countries to gain insight into search behaviors around the world. Analysis identified 15 keywords relating to COVID‐19 CRT predictions and demonstrate how searches across different countries received varying degrees of GA predictions. When grouped with similar keywords, two major categories were identified “Man‐Made Biological Weapon” (42%, n = 2,111), and “Questioning Reality/Severity of COVID‐19” (44%, n = 2,224). This investigation is also among the first to apply social contagion theory to autocomplete applications and can be used in future research to explain and perhaps mitigate the spread of CRT.
Information as Meaningful Experience
Authors: Kizhakkethil Priya
Published: October 2021

Leisure is seen as important in the settlement and acculturation experiences of immigrant and refugee populations as well as helping them in maintaining their cultural identity and ties to their homeland. The study covered by this paper looks at a virtual small world, converging around a leisure activity of fanfiction reading and writing from a gender and diaspora perspective, with an aim to understanding what is experienced as information within that context. Adopting a theoretical lens drawing on information and document experience literature, information was found to be experienced as everyday, as social ties, as awareness and as memories leading to a broad conceptualization of information as meaningful experience. The study also highlighted the important role played by the social context in these experiences of information, while underscoring the usefulness in adopting an experience approach, going beyond what has been the norm in the form of information seeking and problematic situations.
Genuine Information Needs of Social Scientists Looking for Data
Authors: Papenmeier Andrea , Krämer Thomas , Friedrich Tanja , Hienert Daniel , Kern Dagmar
Published: October 2021

Publishing research data is widely expected to increase its reuse and to inspire new research. In the social sciences, data from surveys, interviews, polls, and statistics are primary resources for research. There is a long tradition to collect and offer research data in data archives and online repositories. Researchers use these systems to identify data relevant to their research. However, especially in data search, users' complex information needs seem to collide with the capabilities of data search systems. The search capabilities, in turn, depend to a high degree upon the metadata schemes used to describe the data. In this research, we conducted an online survey with 72 social science researchers who expressed their individual information needs for research data like they would do when asking a colleague for help. We analyzed these information needs and attributed their different components to the categories: topic, metadata, and intention. We compared these categories and their content to existing metadata models of research data and the search and filter opportunities offered in existing data search systems. We found a mismatch between what users have as a requirement for their data and what is offered on metadata level and search system possibilities.
“It makes me sad”: Archival Pedagogy in a Time of Covid‐19
Authors: Poole Alex H. , Zhang Jane
Published: October 2021

Despite COVID‐19's devastating repercussions on higher education, scholars have yet to address its impact on Library and Information Science pedagogy. This exploratory qualitative case study centers on how archival educators weathered the onslaught of the pandemic. Drawing upon semistructured interviews with 31 archival educators and documentary evidence, this research addresses the sudden shift to online education; the concomitant loss of hands‐on work opportunities and the workarounds educators developed; affectivity and an emergent ethics of pedagogical care among students and educators; and educators' lessons learned from the pandemic and their future projections regarding archival education. This paper illuminates the evolving landscape of pedagogy and its attendant challenges preparing the next generation of archival professionals during an unprecedented period of duress.
Just Infrastructure? Field Research on a Standardized Assessment Tool for a Continuum of Care for People Experiencing Homelessness
Authors: Slota Stephen C. , Fleischmann Kenneth R. , Greenberg Sherri , Surka Michelle , Evans Keyanna S. , Snow James , Rodriguez Sarah , Zimmerman Tara
Published: October 2021

As community‐oriented programs move from intervention to infrastructure, questions of just and equitable access to that infrastructure both arise and become more consequential to those served. However, extant tools are general in scope, often undertested, and inconsistently linked with positive outcomes for served communities and service providers. We explore the dynamics and implications of a key tool within this infrastructure intended to enable portable collaboration across organizations serving those who are experiencing homelessness: the VI‐SPDAT (Vulnerability Index ‐ Service Prioritization Decision Assistance Tool). This tool, while providing a means of coordinated assessment, must itself be negotiated according to the values, data concerns, and goals of the agencies and service providers who make use of it. This paper reports findings from 29 interviews with individuals working in nonprofits, charities, and government agencies that provide services or resources to people experiencing homelessness within the City of Austin's Continuum of Care. The life‐and‐death stakes of the VI‐SPDAT, which is designed to prioritize access to services based in part on a prediction of potential for premature mortality, drive home the need for equitable and just infrastructure.
Why Do You Trust Siri?: The Factors Affecting Trustworthiness of Intelligent Personal Assistant
Authors: Wu Dan , Huang Yeman
Published: October 2021

Trust greatly contributes to human‐AI collaboration, however, human's trust to IPA is hard to establish and lacks exploration. The purpose of this paper is to recognize the factors that affect the trustworthiness of IPA. 358 questionnaires were analyzed by PLS‐SEM to construct the model, while thematic analysis was used to discover expectance of IPA. Chi‐square tests and T‐test were used to distinguish the difference between two user groups. Three factors that capability of system, personality of agent, and availability of interface have a significant impact on the trustworthiness of IPA. The capability of system is the most essential as the threshold with users’ plenty of expectations. Most users pay less attention to the availability of interface and the personality of agent has a great impact on the trustworthiness of IPA. The factors found enrich the trusted AI research and inspire insights of design of IPA.
Perceived Usability and Experience with Digital Tools in the Context of Digital Humanities Research
Authors: Du Jesse , Yuen Chris , Slaughter Micah , Chen Annie T.
Published: October 2021

This paper examines differences in the user feedback of scholars with varied experience with digital tools. As part of a usability study of a historical digital collection, our team conducted semi‐structured interviews with scholars with varying backgrounds. We categorized the sample into two groups, one with significant experience and one with little experience in using digital technology. Qualitative analysis of the interview data showed that users generally provided similar feedback. However, there were instances in which those with significant experience provided more design suggestions, and those with less experience expressed confusion and provided more feedback on website content. Drawing upon our findings, we provide recommendations for the usability evaluation of historical digital collections.
#StopAsianHate: Archiving and Analyzing Twitter Discourse in the Wake of the 2021 Atlanta Spa Shootings
Authors: Fan Lizhou , Yu Huizi , Gilliland Anne J.
Published: October 2021

On March 16, 2021, six Asian women were killed in Atlanta, US, possibly out of racist motivations. This tragic event, now known as the 2021 Atlanta Spa Shootings, precipitated a massive increase in the volume of counter‐anti‐Asian declarations and discussion on social media platforms such as Twitter. In a pilot study to chronicle and profile public opinions, social movements and patterns in the global Twitter discourse we scraped the Twitter API using the query term “StopAsianHate”, obtaining more than 5.5 million tweets and their metadata. By using social movement analytical frameworks to analyze traffic peaks and the use of hashtags, we identified a set of more than 300 frequently used hashtags that can serve as specific query words in future archival ingest activities, as well as the dimensions of and current problems with this social movement. This suggests the utility of this approach for both archiving applications and social‐political analyses of emerging topics and concerns.
Towards Finding a Research Lineage Leveraging on Identification of Significant Citations
Authors: Ghosal Tirthankar , Singh Muskaan
Published: October 2021

Finding the lineage of a research topic is crucial for understanding the prior state of the art and advancing scientific displacement. The deluge of scholarly articles makes it difficult to locate the most relevant prior work and causes researchers to spend a considerable amount of time building up their literature list. Citations play a significant role in discovering relevant literature. However, not all citations are created equal. A majority of the citations that a paper receives are for providing contextual, and background information to the citing papers and are not central to the theme of those papers. However, some papers are pivotal to the citing paper and inspire or stem up the research in the citing paper. Hence the nature of citation the former receives from the latter is significant. In this work in progress paper, we discuss our preliminary idea towards establishing a lineage for a given research via identifying significant citations. We hypothesize that such an automated system can facilitate relevant literature discovery and help identify knowledge flow for at least a certain category of papers. The distal goal of this work is to identify the real impact of research work or a facility beyond direct citation counts.
Publisher References in Bibliographic Entity Descriptions
Authors: Hahn Jim
Published: October 2021

This paper describes a method for improved access to publisher references in linked data RDF editors using data mining techniques and a large corpus of library metadata encoded in the MARC21 standard. The corpus is comprised of clustered sets of publishers and publisher locations from the library MARC21 records found in the Platform for Open Data (POD). POD is a data aggregation project involving member institutions of the IvyPlus Library Confederation and contains seventy million MARC21 records, forty million of which are unique. The discovery of publisher entity sets described forms the basis for the streamlined description of BIBFRAME Instance entities. The result of this work includes a database of association rules and RDF editor improvements. The association rules are the basis of a prototype autosuggestion feature of BIBFRAME Instance entity description properties designed specifically to support the auto‐population of publisher entities in linked data RDF editors.
AI Literacy: Definition, Teaching, Evaluation and Ethical Issues
Authors: Ng Davy Tsz Kit , Leung Jac Ka Lok , Chu Kai Wah Samuel , Qiao Maggie Shen
Published: October 2021

Artificial Intelligence (AI) is at the top of the agenda for education leaders today in educating the next generation across the globe. However, public understanding of AI technologies and how to define AI literacy is under‐explored. This vision poses upcoming challenges for our next generation to learn about AI. On this note, an exploratory review was conducted to conceptualize the newly emerging concept “AI literacy”, in search for a sound theoretical foundation to define, teach and evaluate AI literacy. Grounded in literature on 18 existing peer‐reviewed articles, this review proposed four aspects (i.e, know and understand, use, evaluate, and ethical issues) for fostering AI literacy based on the adaptation of classic literacies. This study sheds light on the consolidated definition, teaching, and ethical concerns on AI literacy, establishing the groundwork for future research such as competency development and assessment criteria on AI literacy.
Reconciling Authority and Agency through Information Practices Research
Authors: Olsson Michael
Published: October 2021

Authority and Agency have been central concepts in information science since its beginnings in 19th century documentalism. This paper begins with a brief historical overview of how these concepts have been constructed in the traditional and user‐centred paradigms. It will then explore how an information practices perspective affords the possibility of seeing authority and agency not as oppositional but rather as synergistic: two sides of the same theoretical coin. This exploration will be contextualised by examples drawn from the author's own research over more than two decades across a range of studies. This body of research includes studies of academic, artistic and serious leisure communities.
Named Entity Disambiguation for Archival Collections: Metadata, Wikidata, and Linked Data
Authors: Polley Katherine Louise , Tompkins Vivian Teresa , Honick Brendan John , Qin Jian
Published: October 2021

Representing archival metadata as linked data can increase the findability and usability of items, and linked data sources such as Wikidata can be used to further enrich existing collection metadata. However, a central challenge to this process is the named entity disambiguation or entity linking that is required to ensure that the named entities in a collection are being properly matched to Wikidata entities so that any additional metadata is applied correctly. This paper details our experimentation with one entity linking system called OpenTapioca, which was chosen for its use of Wikidata and its accessibility to librarians and archivists with minimal technical intervention. We discuss the results of using OpenTapioca for named entity disambiguation on the Belfer Cylinders Collection from the Special Collections Research Center at Syracuse University, highlighting the successes and limitations of the system and of using Wikidata as a knowledge base.
LEADING the Way: A New Model for Data Science Education
Authors: Poole Alex H.
Published: October 2021

Addressing the data skills gap, namely the superabundance of data and the lack of human capital to exploit it, this paper argues that iSchools and Library and Information Science programs are ideal venues for data science education. It unpacks two case studies: the LIS Education and Data Science for the National Digital Platform (LEADS‐4‐NDP) project (2017–2019), and the LIS Education and Data Science‐Integrated Network Group (LEADING) project (2020–2023). These IMLS‐funded initiatives respond to four national digital platform challenges: LIS faculty prepared to teach data science and mentor the next generation of educators and practitioners, an underdeveloped pedagogical infrastructure, scattered and inconsistent data science education opportunities for students and current information professionals, and an immature data science network. LEADS and LEADING have made appreciable collaborative, interdisciplinary contributions to the data science education community; these projects comprise an essential part of the long‐awaited and much‐needed national digital platform.
Using Future Work Sentences to Explore Research Trends of Different Tasks in a Special Domain
Authors: Qian Yuchen , Li Zhicheng , Hao Wenke , Wang Yuzhuo , Zhang Chengzhi
Published: October 2021

Research trend detection is an important topic for scientific researchers. Future work sentences (FWS), as direct descriptions of future research, aren't fully utilized in research trend detection. Therefore, this article uses FWS to investigate research trends of different tasks in a particular domain. Taking the conference papers in the natural language processing (NLP) field as our research objects, we obtain the FWS in each paper to build the corpus and classified them into 6 main types. After that, the task of each paper is annotated, and a task system with 29 categories is constructed to compare the FWS in different tasks. The results show that the proportion of method mentioned in FWS is the highest, and different tasks focus on different FWS types: emerging tasks need more resources, while mature tasks prefer method and application. This study provides researchers a reference to understand the research trend of specific tasks and is helpful to compare different tasks.
Content Moderation of Speech in Political Discussions
Authors: Sang Yisi , Liang Lizhen , Stanton Jeffrey
Published: October 2021

Social media platforms have been hailed as “politically disruptive communication technologies” (Hong & Nadler, 2012). Individuals express opinions and engage with politicians, the press, and each other on social media, sometimes using offensive language (Rossini et al., 2020). Content moderation has been adopted by many social media platforms to screen and evaluate offensive speech. In the present study we trained offensive speech classifiers to analyze offensive speech examples by integrating three archival datasets. We then used the trained classifier to examine a large body of comments about YouTube videos posted during the 2018 midterm election cycle. This provided information on the prevalence of various kinds of offensive comments and the pattern of content moderation used by YouTube. We also examined comment negativity using offensive speech lexicons. Our results showed systematic variance in the prevalence of offensive speech topics depending upon the political orientation of the content. Language use was significantly different between left and right‐leaning videos for comments related to sexism.
Recognition and Analysis of Emotional Words in Ancient Chinese Poetry under Different Themes
Authors: Zhang Wei , Wang Hao
Published: October 2021

The emotional connotation in ancient poetry is a valuable human spiritual culture, adopting the key semantic technique to parse the emotional word in poetry under different themes is beneficial to discover the relationship between poetry theme and emotion. In a “cold environment” (without learning corpus) of Tang poetry, this work presents, for the first time, the automatic recognition and analysis of large‐scale humanistic emotional words within ancient Chinese poetry from different themes. A “cold start” automatic citation method for character sequences is proposed to obtain the learning corpus. The best F1 and F1_distinct of trained BERT‐BiLSTM‐CRFs model respectively reach 96.27% and 86.04%. Deep learning expanded imagery words that convey emotion to realize knowledge discovery. The relationships between theme and emotion word show that Chinese poetry is good at using natural objects to express various sentiments to people, with each theme of poetry owns distinguished emotion feature.
Health Information Behavior in the Context of Medical Decision‐making: An Exploratory Study based on Vaccination in Beijing
Authors: Zhang Yuhao , Zheng Guangchun
Published: October 2021

COVID‐19 vaccination could be the most economical and effective public health intervention to prevent and control novel coronavirus. Beijing is one of the first regions in China to implement the COVID‐19 vaccination policy, we conducted semi‐structured interview on 20 participants with past vaccination AND/OR COVID‐19 vaccination decision‐making. This study summarizes the consistency and particularity in the context of decision‐making in terms of information sources, information content and information behavior.
Foundations of Information Science
Authors: Bates Marcia J. , Buckland Michael K. , de Fremery Wayne , Wang Lin
Published: October 2021

The foundations of information science define our field and, thereby, our professional identity. It follows that if our our professional identity is to be equitable, diverse, inclusive, and relevant, then the foundations of our field should also be. Three diverse contributions to the foundations of information science will illustrate diverse approaches to making information science more complete will be illustrated by experienced panelists with different backgrounds: Recuperating neglected work; exploring alternative methods; and drawing attention to undocumented work. Marcia Bates will revisit early work on information seeking. Michael Buckland and Wayne de Fremery will demonstrate an alternative approach to the problematic concept of “context.” Lin Wang will introduce aspects of the early history of information science in China.
Racial Attacks during the COVID‐19 Pandemic: Politicizing an Epidemic Crisis on Longstanding Racism and Misinformation, Disinformation, and Misconception
Authors: Chong Miyoung , Froehlich Thomas J. , Shu Kai
Published: October 2021

The COVID‐19 pandemic crisis has affected everyone's life on a daily basis for more than a year. However, some racial groups have experienced a double pandemic, that of COVID‐19 and racist attacks incorrectly tied to the pandemic. Harassment and physical intimidation were the source of many anti‐Asian attacks. The number of unarmed black people assaulted and killed by police almost tripled during 2020 when compared 2019. In this panel, we will attempt to analyze recent racial attacks in terms of malinformation, such as misinformation, disinformation, or shallow, historical stereotypes of ethnic minorities as another layer of the pandemic originating with racism or inflamed grievances. The panelists will discuss the proposed topic drawing from each panelist's expertise and an interactive discussion with the audience will follow after each panelist's presentation. Members and attendees at ASIS&T who have an interest in the spread of dis‐ and misinformation via social media and politicizing the pandemic crisis will find our topics useful to their research.
Search a Great Leveler? Ensuring More Equitable Information Acquisition
Authors: Makri Stephann , McKay Dana , Buchanan George , Chang Shanton , Lewandowski Dirk , MacFarlane Andy , Cole Lynne , Vrijenhoek Sanne , Ferraro Andrés
Published: October 2021

The ubiquitous search box promised to democratize knowledge access by making information universally accessible. But while many search engines cater well for certain user groups, information tasks and content types, they cater poorly for others. Poorly‐served users include those with certain types of impairment (e.g. dyslexia), and weakly‐supported tasks include highly exploratory goals, where it can be difficult to express information needed as a query. Furthermore, the overdominance of search functionality in many information environments has restricted support for other important forms of information acquisition, such as serendipitous information encountering and creative “inspiration hunting.” Search results and recommendations can also promote certain types of content due to algorithmic bias. Rather than act as a great leveler by making information acquisition effective, efficient and enjoyable for all, search engines often unfairly favor some types of user, task or content over others. In short, search is not always equitable. This panel discussion will elucidate the inequity of search as an information acquisition paradigm from multiple perspectives and propose design principles to ensure more equitable information acquisition.
“Unity in Diversity”: A Conversation around the Interdisciplinary Identity of Information Science
Authors: Rorissa Abebe , Iyer Hemalata , Albright Kendra , Potnis Devendra , Caidi Nadia , Alemneh Daniel
Published: October 2021

As a dynamic and interdisciplinary field of study, information science has a diverse set of methods, theoretical frameworks, tools and processes that continue to be developed, adopted, and extended through further research, teaching, and practice. Some of the methods and frameworks have origins in other disciplines. The interdisciplinary nature of information science may have enabled the field to grow in stature but it may have also contributed to it being perceived, often unfairly and mistakenly, as lacking a strong identity, brand, and reputation, leading to a possible fragmentation of the field. Continued conversations around factors that may help and/or hinder the field from fulfilling its full potential and how it can position itself to build an identity on a strong track record are necessary. The panel has two main goals: (1) to engage researchers and educators in an interactive discussion on the contributing factors and ways in which information science can remain a diverse and interdisciplinary field, realize its full potential, and build a strong identity as well as identify potential barriers it needs to overcome; and (2) to delineate the roles its stakeholders and allies need to play to achieve that goal of a field with “Unity in diversity”.
North–South Scholarly Collaboration: Opportunities and Experiences in Africa
Authors: Sonnenwald Diane H. , Rorissa Abebe , Fourie Ina , Julien Heidi , Raju Jaya , Alemneh Daniel
Published: October 2021

North–South scholarly collaboration and academic exchange programs help to address the challenges experienced by developing countries in Africa and elsewhere, and provide unique benefits to scholars in developed countries. Many academics in the global north, however, have limited, or no, information about opportunities to visit academics and institutions in developing countries and those in such countries in the global south do not have contacts to whom they can reach out. The intention of the panel is to stimulate future north–south collaborations by increasing awareness of both funded opportunities and low budget initiatives for scholarly exchanges and collaborations, benefits for scholars and their institutions in developed and developing countries, and best practices with respect to north–south collaborations and scholarly exchanges. This panel is sponsored by the Africa Chapter and SIG‐III.
Antiracism in the LIS Profession: Not Just Lip Service
Authors: Tang Rong , Goodman Xan , Davis Rebecca , Du Jia Tina , Pride Bridgett , Leonard David
Published: October 2021

With rising cases of brutality, gun violence, and racial injustice towards particularly the Black and AAPI (Asians, Asian Americans, Pacific Islanders) communities, racism is being recognized and declared as an emergency and public health threat. Diversity, equity, and antiracism are core to the Library and Information Science (LIS) profession as we strive to uphold the principle of “libraries serve humanities” and the motto of “free to all.” During this extended period of “racial‐injustice as a public crisis”, what are the roles of LIS professionals in battling racism, violence, and other systems of oppression? This panel session features experienced LIS professionals and educators who specialize in DEI, reporting their activities, stories, and thoughts on antiracism. A breakout room activity is envisioned following panelists' presentations, with participants discussing and sharing their antiracism initiatives. Participants will also brainstorm the next course of action in the LIS profession's journey in battling racism.
Endurance and Coherence: The Post‐2020 iSchool
Authors: Thomson Leslie , Kaden Ben , Kleineberg Michael , Wang Di , Bugaje Maryam , Chowdhury Gobinda , Marchionini Gary , Zhou Lihong , Petras Vivien , Seadle Michael
Published: October 2021

The iSchools Organization encompasses 121 information and library science schools around the globe, and is rapidly expanding. Officially begun in the early 2000s as a way to bolster a sense of field‐wide purpose and identity relevant to the twenty‐first century, among other objectives, iSchools are positioned as those sharing an interest in information, people, and technology. Early questions about endurance of the iSchools movement are now largely overshadowed by, and joined with, questions about coherence of the iSchools movement. This 90‐minute virtual panel will present international findings about issues that are currently, as of 2020–2021, top‐of‐mind for iSchool leaders, pertaining to: 1.) views on and of the field of information; 2.) faculty and institutional relationships; and 3.) extra‐unit alliances and alignments, including with and within the iSchools Organization itself. It draws mainly upon interview data from the funded project i4G: Shaping the iSchools' Identity and Interaction in a Globalized World.
Quality, Reuse and Governance of Open Data
Authors: Wang Fang , Zhu Hongzhi , Wu Yejun
Published: October 2021

In recent years, the amount of open data from governments and academic communities have increased rapidly. Open data are expected to promote the transparency and accountability of governments and academic communities, enable public participation, and facilitate digital innovation. However, open data are still facing problems such as unsatisfactory quality, insufficient data governance, increasing preservation cost and ineffective data reuse at present. This panel will invite experts in related fields to discuss the quality, reuse, and governance of open data, and propose feasible solutions from an international perspective. We will verify and promote the action plan in practice, and have more academic discussion with ASIS&T and relevant academic communities.
Teaching with Color: Calling in White Faculty to Address Whiteness in the LIS Curriculum
Authors: De La Rosa Sarah , Simons Rachel N. , Elkins Aaron J.
Published: October 2021

Diversity, equity, inclusion, and justice (DEIJ) issues underlie the systemic problems affecting our society, including the critical lack of inclusion within the field of librarianship. All LIS faculty must prepare students to work with diverse populations of both patrons and colleagues and should aim to strengthen students' cultural competence by incorporating DEIJ issues and concepts into the curriculum. However, in a field that is overwhelmingly white, there are sure to be missteps as white faculty develop their own cultural competency through research, teaching, and interpersonal interaction. In this poster, we argue for increased transparency amongst white LIS faculty who seek to incorporate DEIJ concepts into their courses. We additionally encourage faculty to prioritize student involvement and feedback while integrating DEIJ‐related theory and topics into the LIS curriculum. Finally, we argue that open discussion between white faculty and students of color is necessary for the field's ongoing progress towards equity.
Cross‐Cultural Analysis of Trolling Behaviors
Authors: Fichman Pnina , Rathi Maanvi
Published: October 2021

The online disinhibition effect allows trolling to spread widely. As it is possible that trolling behaviors are more frequent in some countries than others, this paper compares the extent and type of trolling in India and the USA. Through a comparative content analysis of 3,000 Twitter posts, we found that trolling varies significantly between the two countries. Specifically, we found that individuals in the USA were trolled significantly more frequently than individuals from India. Almost all trolling behaviors have been at least three time more common in the USA. We argue that the variations in trolling can be attributed to socio‐cultural differences between the two countries, as trolling is more acceptable in low power distance countries.
Knowledge Work in the Library
Authors: Freeburg Darin
Published: October 2021

Library staff are knowledge workers (KWs), but it is not entirely clear what this work looks like, how it is allocated, what outcomes are associated with it, or how the pandemic influenced this work. This poster outlines an agenda to study the KW of paraprofessional and professional library staff. Learning more about the form, context, and authority of KW in the library—as well as the personal and task outcomes of this work—will better position LIS to prepare future librarians and guide the development of equitable workplaces that support the needs of library staff.
Seeking Health Information in Wikipedia and Readers' Satisfaction
Authors: Ju Boryung , Jung Yoonhyuk , Bourgeois John P.
Published: October 2021

This current paper describes the results of our study on users' health information seeking in Wikipedia and on their subsequent satisfaction as an indicator of future Wikipedia usage for health information needs. We examine six factors associated with user’ satisfaction. Based on multiple regression analysis of 322 responses, the paper identifies information quality factors associated with continued use of Wikipedia as a health information source. The results show that trustworthiness, reliability, topic coverage, and information presentation significantly affect user’ satisfaction with Wikipedia health information. Among these factors, information presentation and trustworthiness were most influential on user’ satisfaction.
Fixing for Change: Stories of Information and Aspiration in Community Repair
Authors: Kaczmarek Michelle
Published: October 2021

Recent years have seen a grassroots resurgence in the repair of everyday technologies—community initiatives, cooperatives, websites, and how‐to videos. While digital platforms have made do‐it‐yourself repair information more accessible and available, community initiatives—where people meet in person to repair devices and everyday itemstogether—are nevertheless growing in numbers and popularity. This dissertation project explores the aspirations of citizens participating in local repair initiatives through a qualitative study with repair organizers and volunteers in Metro Vancouver, BC. Informed by the relational approaches of practice theory and socionarratology, I explore how a storytelling lens might broaden conceptions of the information sources, systems, and stewardship engaged in climate adaptation. This poster presents preliminary reflections and contributions from the ongoing project.
Evaluation of a Chat Interface for Diary Studies in Information Behavior Research
Authors: Kulik Konstantin , Achmann Michael , Wolff Christian
Published: October 2021

We report about our work in progress evaluation of a Telegram‐based chat‐interface for collecting diary entries in the field of information behavior research and compare the results to web‐form based entries. We expect participants to complement their chat entries by multimedia files and engage more openly.
Investigating the Influence of Cute Aesthetics in Community Crowdsourcing
Authors: Lee Chei Sian , Tian Silei , Xu Anran , Liu Yuhang , Goh Dion Hoe‐Lian , Seah Nozomi Cephas
Published: October 2021

This paper investigates the influence of cute aesthetics design in community crowdsourcing. Specifically, we propose that cute aesthetics design is a viable approach to appeal to the crowd and motivate everyday participation in community crowdsourcing as prior works indicate that cute aesthetics can invoke positive emotion. We conducted a comparative study on two sets of interface designs on a community crowdsourcing app where respondents evaluated and assessed if cute aesthetics interface design has effects on app usage intention. Data were collected from 103 respondents and results indicate that cute aesthetics design appeal to younger female adults. Findings contribute to a better understanding of the conceptualization of aesthetic‐usability in community crowdsourcing.
Interdisciplinary Collaborations in Digital Humanities: Evidence from Public‐Funded Projects in China
Authors: Lian Jingwen , Zhao Yuxiang (Chris)
Published: October 2021

The term digital humanities (DH) has been much talked about for its interdisciplinarity since its conception. Existing studies have explored interdisciplinary collaboration in DH mainly from the perspective of academic literature rather than projects. By employing content analysis and social network analysis, this paper selects projects in the DH category of the key National Social Science Foundation of China for analysis, with an aim to discovering the structure and patterns of interdisciplinary collaboration in DH research. The preliminary findings show the collaborative relationships between disciplines and institutions as well as the characteristics of digital scholarship in DH research.
Investigating Learner's Online Learning Behavioural Changes during the COVID‐19 Pandemic
Authors: Lim Kok Khiang , Lee Chei Sian
Published: October 2021

The objective of this study is to understand the pandemic's impact on online learning behaviour based on learners’ comments collected from online video tutorials hosted on YouTube. The topic modelling approach is employed to uncover the changes in topic prevalence during the pre‐ and post‐pandemic timeframe to infer learning behaviour. Ten topics were uncovered, and each exhibited a varying degree of changes over time. Overall, the study identified two learning behavioural changes, (1) learners were more active in learning relevant skillsets through sharing their experiences; and (2) learners had altered their help‐seeking behaviour to aid in their learning.
Understanding the Role of Community Collaboration Within Indigenous Cultural Heritage Data Migrations
Authors: Rayburn Alexandria
Published: October 2021

Many museums and archives globally hold heritage items belonging to Indigenous peoples of North America. There are current efforts to begin decolonizing the practices and legacies of these collections, and one way this is done is through digital access to Indigenous cultural heritage. This poster examines The Great Lakes Research Alliance for the Study of Aboriginal Arts and Cultures (GRASAC) Knowledge Sharing System, a digital platform that aggregates museum and archival records into a centralized database at a point of data migration. Data migrations are not only necessary as a point for technical updates, but also for theoretical changes in the system itself as the needs of its users change. This is the case for the knowledge sharing system as it moves from a password protected system to one that is open to the public. Rooted in qualitative research from semi‐structured interviews with the creators, maintainers, and users of the database, this poster illustrates how GRASAC is working to meet the needs of their user community, and what unique challenges are faced when prioritizing Indigenous knowledge within a database created for western information organization.
Autonomy Framing and Cybersecurity Training Completion
Authors: Romero‐Masters Philip , Eschenfelder Kristin
Published: October 2021

This pilot project conducted an AB test to see whether inclusion of an autonomy framed appeal in announcement of organizational cybersecurity training influenced training completion or time to training completion. The interim results, which include approximately 31% of the population, show that groups receiving the autonomy appeal had a lower training completion rate. The results show no difference in time to training completion.
Digital Contact Tracing in the EU: Data Subject Rights and Conflicting Privacy Governance
Authors: Rosenberger Alex , Shvartzshnaider Yan , Sanfilippo Madelyn
Published: October 2021

The wide‐spread use of digital exposure notification systems, often called contact tracing apps, raises questions about privacy and efficacy of technosolutionism to address COVID‐19. As part of a broad study of global contact tracing apps, this poster explores the governance and privacy implications of European digital contact tracing solutions. We explore legal justifications for data collection in these apps and data subjects' rights with respect to the General Data Protection Regulation (GDPR) and national laws throughout Europe.
Gendered Sounds in Household Devices: Results from an Online Search Case Study
Authors: Roy Jacob , Bhatt Chidansh , Chayko Mary , Singh Vivek K.
Published: October 2021

Multiple household devices are now using human‐like voices. We investigate whether there are gender differences in the voices used by different kinds of specialized smart devices (e.g., microwaves vs. toy trucks) as provided by Google's search engine. These gender differences could fuel gender stereotypes in the household environment, or they could help challenge them. Early results suggest a preponderance of male‐sounding voices among household devices in the search results but also multiple instances of counterstereotypical media presentation.
Health Equity and Small and Rural Public Libraries During COVID‐19
Authors: Rubenstein Ellen L. , Burke Susan K. , D'Arpa Christine , Lenstra Noah
Published: October 2021

Rural communities in the United States struggle with many health inequities that predate the COVID‐19 Pandemic. This poster analyzes how public libraries responded to COVID‐19 from March 2020 through March 2021 by utilizing the social media platform Facebook to continue sharing content that supports community health and wellness. It situates these responses in the context of health inequities in rural America. Although libraries in different parts of the country responded to COVID‐19 in unique ways, common practices include sharing timely information about the pandemic and social services; adapting services to continue serving communities safely; and providing enriching educational content that also addresses social determinants of health. The poster concludes with a call to better understand the work small and rural public librarians do to address health inequities.
Can Knowledge Construction Be Harmful? A Theory Building Approach to Explain Mr. Bolsonaro
Authors: Russo Renato , Blikstein Paulo , da Silva Renata Penalva Vieira
Published: October 2021

The production and spread of misinformation are phenomena of rising interest, and scholars in many fields attempt to explain this issue. Indeed, studies shed light on mechanisms that affect the way we interpret reality and create systems of belief that may not be consistent with what is broadly accepted as factual. We investigate potential connections between the ways in which we get absorbed by political discourse and how we construct knowledge. We discuss data from online and in‐person conversations initiated by the Brazilian president, and we use those data to examine how he might be tapping into some effective devices in cognitive science and constructivism to “activate” theory building mechanisms in his audience, extending the impact of his messaging.
Flames of Justice in the Virtual Garden: A Preliminary Analysis of Tweets around the Death of an Indian Celebrity
Authors: Sengupta Subhasree , Tacheva Jasmina
Published: October 2021

Social media, particularly Twitter, is a powerful medium for expression and discussion across regions and communities in the world today. Using hashtags, a powerful and popular affordance of Twitter, several forms of civic engagement and online social campaigns emerge and inform public discourse. Although several prior studies have investigated the rhetorical impact of such narrative movements on Twitter, an important consideration lies in understanding the structural forms that such narratives take depending on the context and regional culture where the movement originates. To this end, this study embarks on a preliminary analysis of 150 tweets related to calls of action and social justice in the aftermath of the death of a popular Indian movie star. The analysis reveals a diverse spectrum of themes ranging from expressions of loss and grief to critiques of institutions and mechanisms of power. Parallel but powerful themes also demonstrate attempts to nurture and embolden the campaign. The aim of this analysis is to provide insights into how such channels of discourse might be designed to create a medium of freedom of expression and foster safe spaces for civic engagement.
Meta‐gender‐study: A Gender Study of Global Distribution on Gender Studies
Authors: Sun Yinying , Lou Wen , Zhang Lin
Published: October 2021

The purpose of this study is to explore the gender distribution of researchers in the field of gender studies. We used bibliometrics methods on a dataset of gender studies from Web of Science between 2007 and 2019. The results show that unlike other fields in scientific communities, gender studies are dominated by female researchers. The majorities of gender study communities come from North America and Europe, which are both dominated by female researchers.
Students' Motivations for Not Sharing Rumours during the COVID‐19 Pandemic in Singapore
Authors: Tan Minying , Chua Alton Y.K.
Published: October 2021

The COVID‐19 pandemic has underscored the importance of curbing harmful misinformation and prompted legislation against fake news. Based on the case of the COVID‐19 pandemic in Singapore, this study investigated motivations behind college students' decisions not to share rumours on WhatsApp. Responses from 75 participants were collected through an anonymous online survey in July 2020. The findings suggest that during an infectious disease outbreak, students' decisions not to share rumours were motivated by concerns related to information quality rather than the fear of regulatory punishment.
Theory into Practice: Information Behavior in Pre‐Service Education for Information Service Roles
Authors: VanScoy Amy , Julien Heidi , Harding Alison
Published: October 2021

This poster will present the results of an online survey of instructors of reference and information services courses in North American programs preparing information service professionals for practice. The survey explores instructors' decisions about incorporating information behavior theories, models, and concepts into their courses, as well as their perspectives on the appropriate balance between theoretical and practical course content. The survey constitutes phase three of a study with two previous phases: a content analysis of course syllabi for these courses and interviews with course instructors. Study results to date show that variation in instructors' information behavior expertise, and in their discretion to modify course content, lead to significant disparity in theory content. The findings suggest opportunities to educate course instructors in information behavior content, and to strengthen theoretical content in courses, which would better prepare future information service professionals to provide more effective service.
Factors for Online Identity Falsification among Israeli Students in the Era of COVID‐19
Authors: Weinberger Maor , Bouhnik Dan
Published: October 2021

This research investigates the main factors which motivate users to provide falsified details upon website registration, and identifies the types of personal details that are most prone for falsification. In addition, we predict the tendency for identity falsification by examining various factors, such as: privacy concern and socio‐demographic factors. We also relate those issues to the contemporaneous COVID‐19 pandemic and examine its influence on privacy concerns and the willingness to expose personal details. To this end, a user study was carried out among 245 students of the Israeli academia, via a quantitative method using online closed‐ended questionnaires. We found that privacy‐related factors are the most prevalent for identity falsification. In addition, the regression showed the higher the privacy concerns rates, the higher chance for identity falsification. It seems that the COVID‐19 pandemic increased privacy concerns among online users, which may even increase the tendency of the examined behavior.