bluuebunny/crossref_metadata_2025_split huggingface dataset:
All in the family: A descriptive analysis of family network change in families managing chronic illness
Authors: Brown Lindsay K. , Veinot Tiffany C. 
Published: October 2020

AbstractBackgroundSocial networks can be a source of support, including informational support, in chronic illness management, but can change over time in response to health crises. However, little is known about how families leverage their support networks to manage chronic illness over time—and how these networks may change.MethodsFor 28 families managing either diabetes or HIV, we gathered survey‐based social network data, including network size, exchanges of support, and tie strength, up to 5 times over 2 years. We then used descriptive analysis to examine changes in network size, structure and function (e.g., informational support).FindingsAlthough family networks remained stable in terms of network size and transitivity, these networks experienced regular fluctuations in both tie‐level variables (i.e., tie strength) and density of informational support exchanges.DiscussionObserved changes in these measures indicate that even family support networks are susceptible to change over time, particularly at the tie‐level, indicating a need to expand the way we think of network change beyond whole network measures when looking at small, family networks, especially examining how information exchanges fluctuate over time. Future research should explore tie‐level measures and support exchange networks to understand why networks change over time.
Persona profiles of Latinx living in Boston: Applications for information organizations
Authors: Colón‐Aguirre Mónica , Ceja Alcalá Janet 
Published: October 2020

AbstractBased on data and initial findings of a larger phenomenological project focused on the experiences of Latinx living in the Boston area, we created two persona profiles. The persona profiles are based on preliminary results of the analysis of 13 interviews with members of the Latinx community in Boston, which identified two distinct groups among the participants. These groups were defined by socioeconomic class, as identified by two main indicators: educational attainment and English language skills. Those belonging to the lower socioeconomic class had low educational attainment and limited English language skills compared to those in the middle socioeconomic class group made up of Latinx who had high educational attainment and were fully bilingual. The persona profiles created by using the interview data have potential applications for those working in information organizations, and to help researchers and practitioners in information organizations design better services for urban Latinx communities. This approach aligns with the United Nations 2030 Agenda for Sustainable Development, which among many goals, intends to make cities and human settlements inclusive, safe, resilient and sustainable.
COVID‐19 pandemic and information diffusion analysis on Twitter
Authors: Dinh Ly , Parulian Nikolaus 
Published: October 2020

AbstractThe COVID‐19 pandemic has impacted all aspects of our lives, including the information spread on social media. Prior literature has found that information diffusion dynamics on social networks mirror that of a virus, but applying the epidemic Susceptible‐Infected‐Removed model (SIR) model to examine how information spread is not sufficient to claim that information spreads like a virus. In this study, we explore whether there are similarities in the simulated SIR model (SIRsim), observed SIR model based on actual COVID‐19 cases (SIRemp), and observed information cascades on Twitter about the virus (INFOcas) by using network analysis and diffusion modeling. We propose three primary research questions: (a) What are the diffusion patterns of COVID‐19 virus spread, based on SIRsim and SIRemp? (b) What are the diffusion patterns of information cascades on Twitter (INFOcas), with respect to retweets, quote tweets, and replies? and (c) What are the major differences in diffusion patterns between SIRsim, SIRemp, and INFOcas? Our study makes a contribution to the information sciences community by showing how epidemic modeling of virus and information diffusion analysis of online social media are distinct but interrelated concepts.
Does opening up peer review benefit science in terms of citations?
Authors: Ni Jue , Zhao Zhenyue , Shao Yupo , Liu Shuo , Li Wanlin , Li Jiang 
Published: October 2020

AbstractThis paper studied whether opening up review reports benefits science in terms of citations, by taking Nature Communications as an example. To address these questions, we extracted 3,500 papers published in Nature Communications in 2016 and 4,326 papers in 2017 and retrieved their three‐year citations since publication in the Web of Science database. By applying the Matching method, we constructed an observation group including 1,726 open peer review (OPR) papers and a control group including 1,726 non‐OPR counterparts. The results of the paired sample t‐test showed no significant difference between the OPR and non‐OPR papers. We conclude that opening up peer review reports did not benefit papers in Nature Communications in terms of citations. We further examined whether the length, the rounds or the lexical diversity of the review report contributed to the paper's citations, through regression analysis. As a result, we found that longer comments, more rounds of review and the more diversified words did not contribute to the citations of the OPR papers in Nature Communications. Further research covering more OPR journals is required to justify the benefits of OPR.
Space identification of sexual harassment reports with text mining
Authors: Karami Amir , Swan Suzanne , Moraes Marcos F. 
Published: October 2020

AbstractSexual harassment is an invisible problem that has been difficult to combat because victims are often reluctant to report. However, within the past years, the sheer volume of women who have spoken up about sexual harassment has brought the issue to the forefront. This change has been largely driven, in part, by Internet and social media technologies. Given the large size of data posted on these online technologies, it is impossible to manually analyze and organize it; therefore, there is a need to utilize data and text mining methods. In order to help the fight against sexual harassment, this study proposes a predictive framework to collect more than 14,000 sexual harassment reports on the everyday sexism project (ESP) website and identify the space (location) in the reports. Our framework achieves 85.33% accuracy for seven space classes including workplace, public space, home, public transport, school, university, and media. This paper also enriches experiments by merging similar classes (e.g., school and university) and applies a feature selection method to reduce the number of features for efficiency and effectiveness purposes. This enrichment process offers promising results for different sets of classes and features, ranging from 86% – 93% accuracy.
Exploring factors affecting renewal and stopping reasons in cross‐session search
Authors: Li Yuan , Capra Rob 
Published: October 2020

AbstractThis study analyzes the relationships between search session renewal reasons and stopping reasons for everyday cross‐session search, and their relationships with types of needed information, the number of search sessions, and task performance stage. We present results from an online survey questionnaire distributed on the Amazon Mechanical Turk platform. Our results validate the renewal reasons from Lin and Belkin's MISE model and generalize the stopping reasons found by other empirical studies to a broader population and tasks. We found that participants in different renewal modes more often look for specific information than general information. Sessions which happened early or at the middle of a task were often renewed because a task spawned sub‐problems or transmuted. Sessions renewed near the end or after the task was done often involved looking for updated information or were renewed due to search failure. Our study has implications for predicting reasons that can cause searchers to start or stop a search session during cross session search, and on designing search support tools to provide more targeted, customized help based on the relations among those reasons.
Towards family‐centered health technologies that support distributed families on sustainable healthy practices together
Authors: Sandbulte Jomara , Choe Eun Kyoung , Carroll John M. 
Published: October 2020

AbstractFamily relationships can be resources to foster individuals' healthy behaviors. However, in many families, different factors can prevent members in supporting one another around positive health outcomes. A systematic understanding of these factors is crucial for developing appropriate solutions to reduce barriers on family collaboration in health promotion. In this paper, we focus on one factor that affects family support in healthy living: geographic distance. We present a formative study composed by two research explorations which aimed to examine distributed family members' needs and challenges to engage in healthy living together. First, an interview study helped us understand families' practices in engaging in health conversations. Then, findings from focus group discussions provided necessary knowledge to explore the use of technology to support conversations around health topics by distributed families. We draw on our findings to present practical recommendations for researchers working towards supporting intergenerational families on healthy practices collectively when living apart.
Emulation encounters: Software preservation in libraries, archives, and museums
Authors: Acker Amelia 
Published: October 2020

AbstractThis paper reports on early findings of research in 2019 following three small teams of information professionals as they implemented emulation strategies into their day‐to‐day work at a museum, a university research library, and a university research archive and technology lab. Findings are reported from workplace observations and semi‐structured interviews with preservationists (N = 25) as they implement software emulation programs in cultural heritage institutions that collect and preserve software for access. Results suggest that the distributed teams in this cohort of preservationists have developed different emulation practices for particular kinds of “emulation encounters” in supporting different types of use and users. I discuss the implications of these findings for digital preservation research and emulation initiatives providing access to software or software‐dependent objects, showing how implications of these findings have significance for those developing software preservation workflows and building emulation capacities. This article suggests that there are different emulation practices for preservation, research access, and exhibition undertaken by preservationists in libraries, archives, and museums; and in examining particular visions of access these findings call into question software emulation as a single, static preservation strategy for cultural heritage institutions.
Infrastructures of digital humanities
Authors: Sula Chris Alen , Craig Kalani , Dalmau Michelle , Humphreys Alex , Hyvönen Eero , Keah Humphrey , Kiplang'at Joseph , Lindquist Thea , Weber Nic 
Published: October 2020

AbstractThis panel will convene participants from a range of roles and institutions to build on previous work in infrastructures of digital humanities: the organizational and structural aspects of the field responsible for collaboration, partnership, training and support, access, preservation, sustainability, and more. Information professionals play a key role in these infrastructures, from technical expertise to project management to training and support for methods and tools. Panelists from faculty, centers and institutes, and academic and digital libraries will address issues of capacity building, disciplinarity, and labor across various settings.
Containers, genres, and formats, oh my: Creating sustainable concepts by connecting theory, research, practice, and education
Authors: Brannon Brittany , Valenza Joyce , Cataldo Tara T. , Kear Robin , Faniel Ixchel 
Published: October 2020

AbstractThis interactive panel brings together researchers, practitioners, and educators to explore ways of connecting theory, research, practice, and LIS education around the issue of information format. Despite a growing awareness of the importance of information format to information seeking, discovery, use, and creation, LIS has no sound, theoretically‐informed basis for describing or discussing elements of format, with researchers and practitioners alike relying on know‐it‐when‐they‐see‐it understandings of format types. The Researching Students' Information Choices project has attempted to address this issue by developing the concept of containers, one element of format, and locating it within a descriptive taxonomy of other format elements based on well‐established theories from the field of Rhetorical Genre Studies. This panel will discuss how this concept was developed and implemented in a multi‐institutional, IMLS‐grant‐funded research project and how panelists are currently deploying and planning to deploy this concept in their own practice. Closing the loop in this way creates sustainable concepts that build a stronger field overall.
Amplifying chance for positive action and serendipity by design
Authors: Buchanan Sarah A. , Sauer Sabrina , Quan‐Haase Anabel , Agarwal Naresh Kumar , Erdelez Sanda 
Published: October 2020

AbstractIn recent years, there has been an increased focus on information encountering and serendipity within information behavior research and practice. Serendipity has the potential to facilitate creativity and innovation in various spheres, including in libraries, archives and museums. However, do we wait for chance to occur, or can serendipity be designed and facilitated? What are the characteristics of systems that support serendipitous discovery, and what methods can be used to study its occurrence? Extending and building on the concepts and definitions introduced at a 2016 ASIS&T Annual Meeting panel led by Erdelez, we feature in this 40‐min panel innovative work that creates opportunities for discovery within research spaces. Attendees engage through an interactive two‐part discussion and a hands‐on ideation session on impacts and guidelines for systems designed to facilitate serendipity, emphasizing sustainable, accessible researcher and user experiences. Presenters focus on the role of socio‐technical constraints and affordances to inform systems' design in a variety of research contexts, each contributing expertise in navigating particular issues in serendipity research.
Supporting open research data practice through data curation and discovery: A global perspective
Authors: Liu Ying‐Hsang , (Oliver) Chen Hsin‐Liang , Kato Makoto P. , Wu Mingfang , Huvila Isto 
Published: October 2020

AbstractThis panel will address the issues associated with the practice and service of open research data curation and discovery from a global perspective. The sub‐fields of information science such as information retrieval, information curation, information practices and human‐centered data science have approached the open research data initiatives from multiple lenses. The issues of data creation, capturing, curation, sharing, discovery and reuse of cut across the sub‐fields. We will identify and discuss the emerging themes in open data curation and discovery drawing on active research projects, repository practices and research data capturing and reuse in a selection of disciplines from health domain to archaeology and cultural heritage.
Reimagining information science and technology beyond traditional boundaries in the global coronavirus pandemic situation
Authors: Rorissa Abebe , Li Ming , Young Michael , Turetsky David , Yuan Xiaojun (Jenny) 
Published: October 2020

AbstractInformation pervades today's human activities, essentially making every sector of society an information environment. Due to the ubiquity of technological innovations and their interconnectivity, there is no aspect of lives of individuals that has not been affected. Individuals & organizations use multiple devices and networking platforms to interact with each other, businesses, and governments, as well as to search, retrieve, and consume information. Adoption and use of information and communication technologies (ICTs) and the nature of information in general and its management and use have been topics of discussion at events such as the ASIS&T Annual Meeting. However, what is often lacking, if not missing, is a broader discussion about information and ICTs, in applied areas such as emergency management, homeland security, and cybersecurity.
Affective and cognitive features of comments added by forwarders in Sina Weibo during disasters
Authors: Chen Xi , Chen Sijing , Mao Jin , Li Gang 
Published: October 2020

AbstractIn Sina Weibo, users are allowed to add comments to the shared post when forwarding, and if the shared post is non‐original, previous forwarders' comments will be automatically kept. Notwithstanding the growing body of literature on social media usage in emergencies, little is known about the comments added by forwarders. This study aims to explore affective and cognitive features of comments added by forwarders and its difference with the original posts during multiple emergency events. We conducted the analysis on 72,712 added comments to 9,408 original posts about the three disasters. The result suggests that the added comments by forwarders and the original posts show different characteristics in cognition and emotion, and the emotional and cognitive expressions of added comments were significantly different between man‐made disasters and natural disasters. This study provides a new perspective for exploring the forwarding behavior in disaster situations.
Task‐based human‐structured research data interaction: A discipline independent examination
Authors: Xiao Fanghui , Ma Rongqian , He Daqing 
Published: October 2020

AbstractWith the development of open data movement, an increasing number of structured research datasets (SRD) are available online due to the successful data infrastructure and the strong demand for sharing data. Yet there still lacks a thorough, systematic investigation of researcher‐SRD interactions, which is important to understand users' needs, challenges, and expectations. Our work extends from the current scholarship and proposes a task‐based approach to examining how researchers interact with SRD, without considering individual disciplines. This study identifies two types of research tasks, the data‐driven tasks and model‐driven tasks, and also proposes a framework for researcher‐SRD interaction. Our findings will contribute to the research field of human data behaviors.
Characteristics of information spreading across nations
Authors: Yu Xinchen , Reddy Daida Shashidhar , Bentula Lasya , Hong Lingzi 
Published: October 2020

AbstractThe mechanism of information diffusion on social media platforms such as retweeting in Twitter has been largely studied. Existing studies mainly look into the social or discursive features of information that are popular in virtual space, few have related the diffusion of information to the real‐world context and studied the characteristics of information that can spread across nations. In the context of globalization, understanding information spreading across nations not only facilitates marketing and propagation but also helps to understand transnational activities such as transnational social movements. We conduct a preliminary study to analyze the sentiment and cognition components of tweets that disseminate transnationally in the MeToo movement. Tweets that spread across nations are generally popular, that is retweeted more. However, popular tweets do not always spread across nations. We find popular tweets that disseminate transnationally contain more elements of politics, religion, or social bond indicators. Our study provides insights for propagation in globalization and may help social movement organizations that aim for transnational activities.
Initial bibliometric investigation of NIH mentored K to R transition
Authors: Zhang Li , Yan Xiaoran , Mabry Patricia L. , Martinson Brian C. , Valente Thomas W. , Lu Wei , Liu Xiaozhong 
Published: October 2020

AbstractNational Institutes of Health (NIH) is the world largest public funder of biomedical research, investing more than $30 billion dollars to achieve its mission to enhance health, lengthen life, and reduce illness and disability. Here, by leveraging individual‐level characteristics and contextual/time‐dependent features of professional scholarly network, we investigate the chance of NIH Mentored K (MK) to NIH R01 grant (independent research grant) or equivalent (R01‐Eq) transition success. The aim of this work is to explore the relationship between investigator productivity (i.e., scholarly publication) and success (e.g, R01‐Eq funding) during MK to R01‐Eq transition using publicly available datasets and applying our machine learning techniques. The preliminary experiment based on PubMed data and NIH awardees database show that the proposed method is promising, and a number of interesting funding success factors can be located by utilizing statistical tools.
Advancing diversity in human centered data science education through games
Authors: Herman Bernease , Aragon Cecilia , Evans Sarah , Shanley Lea 
Published: October 2020

AbstractEducational games, particularly those that encourage collaboration with peers and focusing on social and ethical issues, may be powerful in improving retention of human computer interaction (HCI) and human centered data science (HCDS) concepts among young people by providing strong emotional experiences. Further, games have the potential of reaching a wider and more diverse population than formal education. We draw upon prior experience with improving diversity in science, technology, engineering, and mathematics (STEM) as well as experience building and deploying HCDS games to suggest novel uses of gaming to increase the retention of concepts in HCI and data science among diverse learners.
Open data in public libraries: Gauging activities and supporting ambitions
Authors: Throgmorton Kaitlin Fender , Norlander Bree , Palmer Carole L. 
Published: October 2020

AbstractAs the open data movement grows, public libraries must assess if and how to invest resources in this new service area. This paper reports on a recent survey on open data in public libraries across Washington state, conducted by the Open Data Literacy project (ODL) in collaboration with the Washington State Library. Results document interests and activity in open data across small, medium, and large libraries in relation to traditional library services and priorities. Libraries are particularly active in open data through reference services and are beginning to release their own library data to the public. While capacity and resource challenges hinder progress for some, many libraries, large and small, are making progress on new initiatives, including strategic collaborations with local government agencies. Overall, the level and range of activity suggest that Washington state public libraries of all sizes recognize the value of open data for their communities, with a groundswell of libraries moving beyond ambition to action as they develop new services through evolution and innovation.