bluuebunny/crossref_metadata_2025_split huggingface dataset:
Understanding the information needs of social scientists in Germany
Authors: Kern Dagmar , Hienert Daniel 
Published: February 2019

ABSTRACTThe information needs of social science researchers are manifold and almost studied in every decade since the 1950s. With this paper, we contribute to this series and present the results of three studies. We asked 367 social science researchers in Germany for their information needs and identified needs in different categories: literature, research data, measurement instruments, support for data analysis, support for data collection, variables in research data, software support, networking/cooperation, and illustrative material. Thereby, the search for literature and research data is still the main information need with more than three‐quarter of our participants expressing needs in these categories. With comprehensive lists of altogether 154 concrete information needs, even those that are only expressed by one participant, we contribute to the holistic understanding of the information needs of social science researchers of today.
It ain't what you do, it's the way that you do it: Design guidelines to better support online browsing
Authors: McKay Dana , Buchanan George , Chang Shanton 
Published: February 2019

ABSTRACTMany authors have proposed guidelines for online browsing systems, however recently empirical research has added depth to these requirements. There has also been a spate of development in online browsing systems, particularly for library shelf browsing. These strands of research are clearly in service of providing better browsing options in an increasingly online library environment, however they have not yet been brought together. In this paper we use a recent empirical study and a survey of the literature to generate a comprehensive list of requirements for browsing interfaces. We will then compare that list to the interface features of a range of different book browsing interfaces, demonstrating why they may be more or less effective, and signpost development of more effective online browsing.
The contribution of information science in the Semantic Web research landscape
Authors: St‐Germain Marielle , Mongeon Philippe 
Published: February 2019

ABSTRACTSemantic Web and Linked Data promise to change the way we identify, classify, share, find and reuse information by managing and interlinking data so that it can be understood by machines. The benefits identified by the World Wide Web Consortium and other Semantic Web advocates have lead information professionals to explore these possibilities by implementing several initiatives based on Semantic Web technologies in recent years. Just like information science, Semantic Web research is multidisciplinary in nature and can be applied in many different disciplines. In this article, we provide a portrait of research on the Semantic Web using bibliometric methods and investigate the specific contribution of information science literature on the topic. We analyzed 6,438 articles published from 2001 to 2016 retrieved from the Web of Science database to evaluate the evolution of the papers published by discipline and the way the topic was discussed by different discipline. A citation analysis is also conducted.
Demographic factors and trust in different news sources
Authors: Verma Nitin , Fleischmann Kenneth R. , Koltai Kolina S. 
Published: February 2019

ABSTRACTWhat factors influence trust in different news sources? The goal of this study is to examine the role of various demographic factors: gender, age, educational attainment, political leaning, and frequency of social media use. This paper reports relevant results from a crowdsourced experimental study focusing on reporting of science news online. Significant findings include that conservatives place higher trust in fake news than moderates (p < 0.05), liberals place higher trust in mainstream media than moderates (p < 0.05), liberals place higher trust in scientific journals than conservatives (p < 0.01) and moderates (p < 0.05), and less frequent users of social media place higher trust in fake news than do more frequent users of social media (p < 0.05). Based on these results, political leaning and frequency of social media use influence trust in fake news, while political leaning also influences trust in mainstream media and scientific journals. These findings shed new light on the important issue of trust in news sources, illustrating the importance of considering political leaning and frequency of social media use in assessing trust in different news sources. These results further underscore the current degree of polarization present in the American public's perceptions of different online science news sources.
Understanding multilingual web users' code‐switching behaviors in online searching
Authors: Wang Jieyu , Komlodi Anita , Ka Omar 
Published: February 2019

ABSTRACTThe availability of information in different languages on the Internet allows multilingual web users to search in multiple languages for the same search task. When searchers can search in multiple languages, they may combine these languages in various ways during searching. Few studies have examined multilingual web users' language switching behaviors in two or more languages online, specifically their code‐switching search patterns. This research investigates native Chinese web users' code‐switching (Chinese‐English) search patterns in their information seeking process through controlled lab experiments and interviews. Results reveal three general code‐switching search models for multilingual web users for their search tasks. Findings highlight factors and reasons for multilingual web users' situational and metaphorical code‐switching during their information search on the Web. We find that multilingual web users switch code situationally due to pragmatic reasons such as information sufficiency, language proficiency, information verification, context, and translation. Metaphorical code‐switching behaviors were motivated by the searchers' language image, cultural perspective, website credibility, sense of belonging, and psychological acceptance. We also investigate these users' code‐switching search strategies. The study aims to provide design implications for website design concerning multilingual web users' code‐switching search strategies, habits, and needs.
Exploring visual representations to support data re‐use for interdisciplinary science
Authors: Wiggins Andrea , Young Alyson , Kenney Melissa A. 
Published: February 2019

ABSTRACTData discovery and re‐use remain challenging, particularly for interdisciplinary research, but visual representations of data may have potential to better support these tasks than text‐only metadata records. Our multi‐stage exploratory study used think‐aloud and intercept interviews to evaluate how scientists across multiple disciplines interpret the content and evaluate the credibility of climate indicators designed for general audiences as a way to understand the potential of visual representations for supporting interdisciplinary research. Climate indicators provided a convenient alternate representation for describing a data set, featuring a visualization of the data along with vernacular textual description. Our contributions include (i) findings on the preferences of scientists from multiple disciplines for establishing the credibility and assessing the content of data for re‐use, (ii) the unexpected observation that a minimal set of core metadata was considered adequate by researchers examining data from outside of their specialties, and (iii) discussion of the implications for the design of data discovery interfaces and future research to support data discovery and re‐use by increasingly diverse scientific data consumers.
Investigating youth learning and data: Contexts, concepts, and connections
Authors: Acker Amelia , Bilal Dania , Bowler Leanne , Garcia Patricia , Meyers Eric M. , Zhang Yan 
Published: February 2019

ABSTRACTThis panel presents research that has explored young people in relation to data traces in digital, networked platforms supported and made accessible through Internet connected devices, applications, and platforms, asking the question: how might we help youth, as data subjects, gain a sophisticated understanding of data, including the processes involved in data creation, collection, curation, and aggregation with networked devices, platforms, and information services? Panelists will convene around the impact of these new technologies in youths' lives by presenting a range of empirical research on search engines, identity‐based gaming, literacy groupware for children, and data literacy programming for youth in public libraries.
Digital liaisons: Connecting diverse voices to support an ethical and sustainable information future in digital libraries
Authors: Grguric Ekatarina , Khan Nushrat , Gamble Alyson , Hockin Tamarack , Dressler Virginia 
Published: February 2019

ABSTRACTDigital Liaisons is a platform for including student and early career voices in open dialogue with practitioners and researchers who work in or adjacent to the field of Digital Libraries. It has taken several forms over the last few years, ranging from a poster session, to an unconference‐style panel, to moderated Twitter chats. This year we are proposing to merge two of these approaches: a series of Twitter chats that provide mentor‐mentee connections for early career practitioners, and a panel which reports on the outcomes of these chats and concludes with a digital poster session for students and early‐career practitioners. The merger of Twitter chats and a digital poster session will provide two ways for participants to interact with the theme of this year's conference and will allow sharing their views and experiences.
Beyond fairness, accountability, and transparency in the ethics of algorithms: Contributions and perspectives from LIS
Authors: Hoffmann Anna Lauren , Roberts Sarah T. , Wolf Christine T. , Wood Stacy 
Published: February 2019

ABSTRACTRecent debates have revealed the urgent need for work addressing social and ethical implications of the algorithmic and data‐driven systems that govern our lives. Focusing largely on machine learning (ML) and artificial intelligence (AI), conversations among scholars, journalists, and advocates have started to address questions of fairness, bias, transparency, access, participation, and discrimination often under the monikers “AI and Ethics” (AI+Ethics) or “fairness, accountability, and transparency in algorithms” (FAT*). Underlying these discourses are concerns about how to mitigate discrimination and bias in data, as well as open questions over whether algorithmic systems can be fair and if their use will help promote equitable futures (or instead further perpetuate existing inequalities). Despite the seeming “newness” of these issues, many of the underlying concerns have a longstanding tradition and intellectual lineage in the library and information science (LIS) field. In this panel, we will discuss and elaborate on these connections, drawing on our research and experiences in a number of contexts and outlining opportunities these relationships present for future research and engagement.
How does health happen in public libraries? Ethical and emerging issues
Authors: Lenstra Noah , Rubenstein Ellen L. , Smith Catherine Arnott , Flaherty Mary Grace , Gibson Amelia N. 
Published: February 2019

ABSTRACTThe past five years have featured increased multidisciplinary interest in how health happens in public libraries. This panel will explore ethical and emerging issues associated with conducting research on this topic. After lightning talks from five panelists, the audience will engage in interactive, small group discussions focused on how we can form and sustain meaningful research relationships with public libraries and public librarians, for health‐related and for other research. Through this discussion, we will outline new research directions on how health happens in public libraries and challenge ourselves to do more to understand this and other processes in public libraries.
Publication quality, peer review and predatory journals
Authors: Seadle Michael 
Published: February 2019

ABSTRACTAcademic tenure and promotion decisions typically involve judgements about quality and generally require authors to publish in peer‐reviewed venues. Even though peer review is known to be imperfect, it remains a widely accepted quality assurance mechanism. Nonetheless in recent times attacks on traditional peer review have come from multiple sources, including concerns about effectiveness, calls for open peer review, and predatory publishers. The panel will discuss these and related issues.
Comparing features of fabricated and legitimate political news in digital environments (2016‐2017)
Authors: Asubiaro Toluwase Victor , Rubin Victoria L. 
Published: February 2019

ABSTRACTWith the problem of ‘fake news’ in the digital media, there are efforts at creation of awareness, automation of ‘fake news’ detection and news literacy. This research is descriptive as it pulls evidence from the content of online fabricated news for the features that distinguish fabrications from the legitimate political news around the time of the U.S. Presidential Elections (276 articles in total, from November 2016 ‐ June 2017). Certain stylistic and psycho‐linguistic features of fabrications may be apparent to the news readers: fewer words and paragraphs but longer paragraphs, more slangs, swear words and affective words in the stories. Such features could be used for educational information literacy campaigns for spotting so‐called ‘fake news’. Other informative features may require specialized analytical tools (or further training) to notice the presence of more words, punctuation marks, demonstratives and emotiveness in fabrications but fewer verifiable facts (or named entities) in their headlines.
Landscape of knowledge sciences in JASIST
Authors: Bedford Denise A. D. , Bekbalaeva Jyldyz 
Published: February 2019

ABSTRACTThis poster describes a research project in progress to map the historical and current published and grey literature of the field of knowledge management/knowledge sciences. The research describes the mapping of 11,820 JASIS papers to the landscape of knowledge sciences. The mapping is grounded on the automated classification and automated indexing of the individual papers leveraging a semantic profile and the SAS Content Categorization Suite. The semantic profile was created from the knowledge sciences classification scheme and thesaurus developed by Bedford (2015). The results suggest that JASIS papers and the research being published by ASIST members have some alignment with the field of knowledge sciences. The research is concentrated in three primary facets, including (1) Knowledge Asset Management; (2) Knowledge Technologies; and (3) Communities and Collaboration. Within these three facets there are clear pockets of concentration. The results further suggest that the research methodology can be applied to other sources.
Information encountering by an art historian: A methodological case study
Authors: Buchanan Sarah A. , Bossaller Shann , Erdelez Sanda 
Published: February 2019

ABSTRACTResearch activities of humanities scholars are complex. Novel methodologies are needed to facilitate investigation of their information behavior processes. This poster presents a case study designed to evaluate use of information encountering (IE) model as a methodological framework for soliciting rich feedback about serendipity in information behavior via research activities of an art historian. The preliminary findings reveal intricate connections between information encountering and searching that evolve over a long period of time.
How “enhanced” are they? An exploratory analysis of journals in information science
Authors: Curty Renata Gonçalves , Delbianco Natalia Rodrigues 
Published: February 2019

ABSTRACTThis poster presents early findings from an ongoing study which investigates to what extent Information Science journals have been adopting enhanced properties and attributes. Based on a set of requirements derived from the literature and complemented by an empirical study we analyzed eight journals. Preliminary results reveal that the Journal for the Association of Information Science and Technology is the leading journal, and that user‐generated content related features and interactive content are missing in our sample. We expect this research will not only contribute to the conceptual understanding of enhanced features and tools functions and applications, but also provide valuable information for editors and publishers to rethink about journals' platforms and better align them to current innovations in academic publishing.
Educators' perceptions of information literacy and skills required to spot ‘fake news’
Authors: Delellis Nicole S. , Rubin Victoria L. 
Published: February 2019

ABSTRACTThis research examines the concept of ‘fake news’ in the context of information literacy (IL) in a post‐secondary educational setting. Educators' perceptions shape both IL curricula and classroom discussions with students. We conducted 18 interviews with members of 3 integral groups implementing IL education (8 professors, 6 librarians, 4 department chairs). Interviews explored participants' perceptions of: IL education, perceived skills associated with IL, skills required to spot ‘fake news’, and gauged our participants' willingness to incorporate segments dedicated to detecting ‘fake news’ in IL curriculum. Our qualitative findings identify a substantial overlap that exists between skills associated with IL and ‘fake news’ detection (e.g., close‐reading, critical disposition, bias awareness). Professors and academic administrators also appeared to underappreciate the role of librarians as IL educators. We advocate improving communication among integral facilitators of IL education. More research is needed to assess effectiveness of IL education as an ‘inoculation’ against ‘fake news.‘
Video‐based consensus annotations for learning: A feasibility study
Authors: Dodson Samuel , Freund Luanne , Yoon Dongwook , Fong Matthew , Kopak Rick , Fels Sidney 
Published: February 2019

ABSTRACTVideo‐based learning is increasingly common in higher education; however, the video players available make limited use of logged interaction data to support and guide students' viewing. In this work in progress, we explore the feasibility of aggregating students' annotations of videos (e.g., highlights, notes, and tags) to identify “hot spots,” which can signal areas of interest to subsequent learners. We conducted a deployment study with 315 undergraduate students using ViDeX, a video player designed for active viewing. We logged students' use of ViDeX for four months, and then aggregated and graphed their annotations across 13 instructional videos. Our results show that consensus annotations—the video content that has received attention from many students— may be a feasible, data‐driven way to flag information for use by subsequent learners.
Helpful information to whom? An intersectional critique of the ‘it gets better project
Authors: Hawkins Blake , Andalibi Nazanin , Haimson Oliver 
Published: February 2019

ABSTRACTThe ‘It Gets Better Project’ started as an online campaign responding to the suicide deaths of multiple young gay men in Fall 2010. The campaign involved people posting videos providing messages of hope and helpful health information for youth as they finish high school and can move on with their lives. Although there is seemingly good intentions driving this this campaign, we were troubled by the initial positioning of the campaign. In this paper we use an intersectional critique to discuss the lack of inclusivity in these videos and how it created a potential opportunity to engage with more LGBTQ youth. Furthermore, we suggest that future online campaigns for gender/sexual minority populations be more mindful of others' lived experiences and how this may impact how they seek health information.
Why do people come? The factors influencing public library visits
Authors: Huang Li‐Min , Tahamtan Iman 
Published: February 2019

ABSTRACTCurrent study investigates what variables, including expenditures, services, and collections, can predict the total annual public library visits (VISITS) in the United States. The data source was the 2015 Public Library Service data and reports, and a multiple regression model was used to analyze the data in the R programming language. Results indicated that the best variables for predicating VISITS were a library's total operating expenditures, usage of public Internet‐enabled computers per year, audio‐physical units, total children programs, and video‐physical units. The best subset model for predicting VISITS included the total number of public libraries, total operating ex‐penditures, print materials, audio‐physical units, total children programs, total young programs, and the usage of public Internet‐enabled computers per year.
Social tagging and name authorities: Popular music information discovery
Authors: Stanwicks Kabel Nathan , Iyer Hemalata 
Published: February 2019

ABSTRACTThe study examines the alignment of user tags with Name authority attributes of popular music artist names. The authors found 65% of the tags mapped to Resource Description and Access Name authority data. User tags provide more granular genre information than Name authority records; therefore, user tags can enhance retrieval based on genre.
Improving access to API documentation for developers with Docs‐as‐Code‐as‐a‐service
Authors: Thomchick Richard 
Published: February 2019

ABSTRACTWeb Application Programming Interfaces (APIs) provide the connective tissue that developers need to integrate Internet services and create “software‐as‐a‐service” (SaaS) applications. To learn an API's usage, developers often turn to their web browsers to access documentation and try out APIs. However, traditional approaches to documentation present obstacles that can hamper API comprehension and developer productivity. To overcome these obstacles, practitioners are adopting a new approach called Docs‐as‐Code, in which documents are published with many of the same tools and practices used to deploy source code. In this paper, we present Dev Center, a system based in part on the Docs‐as‐Code framework and designed to provide ubiquitous access to a broad set of API documentation resources. Preliminary findings suggest that Dev Center could potentially improve API comprehension and developer productivity, while Docs‐as‐Code could benefit related research efforts.
Collaboration and friendship of scholars: A dual network analysis
Authors: Wang Xianwen , Cui Yunxue , Xu Shenmeng 
Published: February 2019

ABSTRACTIn this study, we analyze the dual network of scholars' co‐authorship and online friendship. We conduct comparisons of these two networks in the field of scientometrics. Using co‐authorship data of publications and following data on ResearchGate, we extract the co‐authorship network and online friendship network, respectively. The results reveal several topological differences between these two networks. The edges of co‐authorship network are more decentralized than the online friendship network. Moreover, the co‐authorship network has a clear community structure, while the online friendship network has clustered communities. However, the two networks have a strong internal relationship. Specifically, the co‐authorship intensity has an impact on the formation of social relations. The academic social network promotes the integration of and scholarly communication among academic communities.