bluuebunny/crossref_metadata_2025_split huggingface dataset:
Wrathful Ancestors, Corporate Sorcerers: Rituals gone Rogue in Merauke, West Papua
Authors: Chao Sophie 
Published: October 2019

AbstractAnthropological studies of ritual ‘failure’ challenge the assumed efficacy of ritual in affirming the social order. Drawing from fieldwork in West Papua, I examine the ‘failure’ and ‘success’ of two rain‐making ceremonies – one hosted by an indigenous Marind expert, the other by an Indonesian oil palm corporation. Participants conceived the failure of the first ritual as a punishment meted by ancestral spirits against Marind who support agribusiness expansion. Meanwhile, the success of the corporate ceremony confirmed rumours that corporations wield foreign and powerful forms of sorcery. Drawing on Gregory Bateson's notion of the double bind, I suggest that the ritual outcomes dramatize the irreconcilable demands placed on Marind by custom and capitalism. Attempts to endorse agribusiness incur ancestral punishment, while efforts to oppose it are thwarted by the superior power of corporate sorcerers. In this context, I argue, the moral implications of the corporate ritual's unexpected ‘success’ prove just as problematic as those of the customary ritual's dramatic ‘failure’. Co‐opted yet efficacious, corporate rituals point to a new social order in which both Marind and their ancestral spirits find themselves subjected to foreign sources of supernatural control.
Toward effective use and balance: Investigating pros and cons of smartphone use in an interview study
Authors: Agarwal Naresh Kumar , Lu Wenqing 
Published: October 2019

ABSTRACTA large number of people spend a major part of their days staring at their smartphone screens. The objective of this poster is to study smartphone use and its positive and negative effects, and to provide recommendations for balanced use. We interviewed 20 female and 4 male participants. Ease of communication and multitasking are the key benefits, and overuse and disconnect from real world are the detriments in smartphone use. We propose the Yin‐Yang framework of smartphone use, and provide recommendations for effective usage.
Investigating wisdom: Call for research
Authors: Allen Jeff , Khader Malak , Rosellini Amy 
Published: October 2019

ABSTRACTThis study aims to address the gap in understanding “wisdom” as it relates to Data, Information, Knowledge, Wisdom (DIKW) Model/Hierarchy and the information science discipline. Disciplines like data science, information science, and knowledge management study wisdom without defining it. This study identifies the definition of the term wisdom within the information science discipline.
Are invalid patents still cited?
Authors: Dong Huei‐Ru , Chen Dar‐Zen , Huang Mu‐Hsuan 
Published: October 2019

ABSTRACTPatents contain reference citations. However, unlike journal papers, patents may become invalid if they are not maintained or have expired. This study determines whether invalid patents are still cited. We collected telecommunications patents as a sample to compare the citations of valid and invalid patents. The results indicated that approximately 50% of cited patents were invalid. Furthermore, the citations per patent of invalid patents were fewer than those of valid ones. Nevertheless, the citations per patent of invalid patents were reduced 5.21, and nearly 5% of the patents were cited only after they became invalid.
Tourists' social interactions on social media during a group trip planning
Authors: Fardous Jannatul , Du Jia Tina 
Published: October 2019

ABSTRACTThis paper explores the motivations for employing social interactions on social media during collaborative information seeking (CIS) in group trip planning. We conducted interviews with nine groups of tourists. The analysis identified three motivations for employing social interactions on social media while planning a group trip: finding and gathering information, scheduling the trip‐related activities, and cross‐checking of ideas. The findings also suggest that such interactions on social media contribute to group trip planning through improving the productivity of group information seeking and making better group trip planning.
Book or screen? a preliminary study on preschool children's reading and ICT using behaviors
Authors: Han Yanfang , Yan Hui 
Published: October 2019

ABSTRACTQuestion: Due to the ubiquity of various newly emerging information and communication technologies (ICT), numerous preschoolers have obvious preferences toward electronic devices and interfaces over printed books. Given that excessive exposure to screen usually result in problems in both physical and psychological aspects, it is essential to have a brief overview of the preschoolers' reading and ICT using behavior and a deeper understanding on how parental factors affect children with respect to their reading and ICT using behaviors.Methods: In‐depth interview is employed in this study, the sample of which includes forty parents of twenty preschool children aged from 1.5 years to 6 years. Then we analyzed the data with the means of text coding and correlation analysis.Findings: There was a negative association between child's reading time and screen‐viewing time. The same result occurred among parental reading and ICT behavior. Reading time duration of parents was correlated with that of preschool children. As for ICT using, preschool children frequently learnt from mothers' ICT activities, instead of fathers'.
Affording cross‐cultural access to visualized cultural collections: A preliminary case study of e‐dunhuang
Authors: Hu Xiao , Shan Jia , Chen Jing , Downie J. Stephen 
Published: October 2019

ABSTRACTE‐Dunhuang is a visual material centered digital library of a UNESCO world heritage. This study aims to identify how users in different cultural backgrounds seek and use cultural heritage information on e‐Dunhuang, as well as their perceptions and opinions toward that. As a preliminary report, this poster focuses on the visual content (i.e. images, panorama) of e‐Dunhuang, which is arguably the most prominent component in this platform. Results of usability tests and follow‐up interviews reveal that users had polarized opinions. The findings can inform cross‐cultural access to cultural heritage collections dominant with visual content.
How is knowledge management represented in library and information science research?
Authors: Islam Md Anwarul , Agarwal Naresh Kumar 
Published: October 2019

ABSTRACTResearch published during the last two decades has frequently discussed how Knowledge Management (KM) is important for libraries. However, we do not know the extent to which KM forms a part of Library and Information Science (LIS) research. In this study, we looked for KM articles published in top LIS journals since 2000. We analyzed publication trends, and the distribution of articles by KM‐related terms used, region/country and information‐setting type. We also identified the top‐cited KM articles published in these LIS journals. 672 KM‐related articles (only 3.84%) were found within the 17,491 articles published in these LIS journals. This low percentage shows that while it might seem like LIS people are advocating for KM in libraries and other information settings, we find that despite the synergies, KM is yet to find a broader place within other LIS concerns.
“For the benefit of all students”: Student trust in higher education learning analytics practices
Authors: Jones Kyle M. L. , Afnan Tanisha 
Published: October 2019

ABSTRACTLearning analytics is a sociotechnical practice that seeks new insights from mining and analyzing student data. As new flows of student data emerge and granular information about student life becomes more accessible, there is a growing call to address student privacy and related issues. This poster reports emerging results from over 100 interviews with undergraduate students regarding their privacy perceptions especially with regard to trust.
Toward computational reproducibility: A doctoral student's story of passing the baton
Authors: Kim Jenna , Blake Catherine , Darch Peter T. 
Published: October 2019

ABSTRACTComputational reproducibility is a critical first step to supporting data reuse. Incentives that encourage data reuse within an academic setting are unlikely to be compelling for students who decide not to continue in academe. The goal of this work is to identify key barriers in the most likely of scenarios with computational reuse, when a doctoral student reproduces work done by another student from the same lab.
A gap analysis of survivorship terminology: Knowledge resources versus literature usage
Authors: Blake Catherine , Kim Jenna , Mathur Milind , Aggarwal Akanksha 
Published: October 2019

ABSTRACTSurvivorship is arguably the most important endpoint in a cancer clinical trial. Our goal is to compare the extent to which survivorship concepts within existing medical knowledge resources adequately capture how authors describe survivorship when reporting the inclusion criterion and outcomes from studies of 5 breast cancer treatments. Results show that MESH and the NCI thesauri provide good coverage with respect to set of core survivorship concepts that appear frequently in text; further work, however, is required to account for modifiers used by authors so that noun phrases in literature are accurately aligned with the corresponding concept in a given ontology.
Argumentation model of WeChat group chat: Evidence from content analysis with inductive coding
Authors: Lai Jiyao , Han Yuzhe , Zhang Pengyi 
Published: October 2019

ABSTRACTArgumentation, the act of defending one's inherent knowledge or views through speech expression, is a kind of widespread information expression and communication behavior. In this poster, we aim to explore the characteristics and patterns of argumentation in social media to examine basic rules the patterns follow by conducting content analysis of the transcript of a WeChat Group Chat. We build a theoretical model of argumentation behavior in mobile social media using the inductive coding and find that social media has a great influence on argumentation.
Questions or questioners: Factors affecting response quantity on academic social Q&A sites
Authors: Li Lei , Huang Kun , Ye Edwin Mouda , Zhang Chengzhi 
Published: October 2019

ABSTRACTWith the continuous development of academic social network sites, academic social Q&A platforms have also become a venue for scholars to obtain academic information. This study explores the factors that influence the response quantity for questions on an academic social Q&A platform. Using 130 questions from the library and information services domain on ResearchGate Q&A, we adopt content analysis and multiple linear regression analysis to investigate the relationship between question characteristics and response quantity. We find that, for academic questions, the questioner's authority does not affect response quantity but questions that provide academic resources and contain fewer personal opinions from the questioner tend to attract more answers.
How do university data services present their collection and reference service information on the web?
Authors: Lin Chi‐Shiou , Wang Yi‐Yu 
Published: October 2019

ABSTRACTThis poster describes how 83 university data services in three English speaking countries present their collection and reference services information on their Web sites. The information on the Web constitutes the first step toward data awareness. Our analysis shows that both collection and reference services information can be further enriched to facilitate data visibility and data reuses.
Proactive identification of query failure
Authors: Liu Jiqun , Shah Chirag 
Published: October 2019

ABSTRACTWhen a user fails to find any useful information to support the task at hand after issuing a query, the user experiences a query failure. Since users possess limited cognitive resources, query failures often lead to user frustration as no clear benefit is obtained from the associated search interactions. Therefore, to improve users' search experiences, we conducted a controlled‐lab study with 40 participants, seeking to explore the extent to which query failures can be proactively identified before users start examining the retrieved results. Specifically, based on the data collected from 693 query segments generated in 80 search sessions, we used past search behaviors and current query attributes as features to build classifiers and examined the performance in capturing query failures. We report that (1) analytics algorithms utilizing past search behavioral data have significantly better performances than the baseline model in tasks of different types, and (2) The knowledge of users' search intentions can help improve the performance of the prediction model. Results pave way for developing proactive system supports for task‐based search interactions.
A comparative study of online news use by young adults in Canada and Japan
Authors: Matsubayashi Mamiko , Freund Luanne 
Published: October 2019

ABSTRACTThis paper reports on a comparative survey of online news use and perceptions of trust in Canada and Japan among young university educated adults. Results indicate that information use patterns are broadly consistent, with some differences by gender and country. Notably, young adults report heavy reliance upon social media channels as sources of online news, despite consistently low levels of trust for this type of content.
Between informative and esthetic: A user study of content and visualization on government data dashboards
Authors: Sie Liang‐Yu , Jeng Wei 
Published: October 2019

ABSTRACTThis preliminary study aims to explore users' perceptions of and experiences with using government dashboards, accomplished by conducting experiments and interviews with eight participants. The results reveal that participants prefer information related to their lives and the government's performance on data dashboards. Confusing jargon on data dashboards is an obstacle that prevents users from understanding data visualizations. We also found that effective conveying of information does not always correlate with participants' preference of a data dashboard design. This study also suggests that participants are unclear about the role of government dashboards.
Service mode selection strategy for resource‐constrained content service providers
Authors: Sun Mengting , Ding Jingjia , Yuan Xiaoqun 
Published: October 2019

ABSTRACTThis poster deals with the service schemes of Content Service Providers (CSPs) with limited service resources by proposing a service mode selection strategy. In this poster, content service modes of resource‐constrained CSPs are roughly but practically separated into three categories according to their collaborative relationship with other resource providers: Self‐service, Delegation service and Cooperation service. Then the service mode selection problem is formulated as a profit optimization problem from the service chain perspective, and the optimal service mode selection strategy is deduced. The experiment results show that compared with the fixed λ service strategy applied in real world, our strategy can improve the service profits significantly.
How socio‐culture impact the information behavior of Chinese urban newcomers
Authors: Sun Honglei , Zheng Jianming , Wang Meng , Chen Ya 
Published: October 2019

ABSTRACTNowadays, migrants have become the majority population of some Chinese cities, rather than a vulnerable group in the coming information society. To gain a better understanding of urban newcomers' information behavior, we interviewed 13 newcomers in China and employed grounded theory to explore how socio‐cultural factors impact their information behavior. The preliminary findings show that information behavior of urban newcomers may be influenced by a complex cultural framework involving cultural integration, social integration, and cognitive value. Based on the qualitative analysis, we propose a theoretical model to understand the inner relationship, which may also yield practical implications on Chinese urban newcomers' information practices.
Considering “atmosphere” in facilitating information seeking by people with invisible disabilities in public libraries
Authors: Muir Rebecca , Thompson Kim M. , Qayyum Asim 
Published: October 2019

ABSTRACTTwenty percent of Australians reported having a disability in 2015. Disability may occur at any time during the lifespan, however most disabilities are invisible. When a disability is invisible, or not immediately apparent to an outsider, individuals may need to self‐identify to access inclusive services, or accommodation may never be offered at all. When the perceived number of information seekers with a disability is low, information organizations may deem services unnecessary. Considering information access is a human right, information service providers and researchers need to seek low cost and low effort ways to facilitate information access and information seeking behaviors. The research question was “how does the ambience, security, and mores (conceptualized as “atmosphere”) of information services facilitate, or create barriers to, information seeking by people with an invisible disability?”. Data from 23 semi‐structured qualitative interviews were analyzed to explore the experiences of people with an invisible disability as current or prospective library users.
“I don't understand it so it can't be good”: Users' acg domain expertise and perceived quality of video tags
Authors: Tong Liuyi , Lin Hui , Zhang Pengyi 
Published: October 2019

ABSTRACTTag quality is an important factor to the success of social tagging systems and platforms. Users' domain expertise may influence they perceive tag quality. This study aims to explore how users of different domain experience (frequent user, occasional user, and non‐user) perceive the quality of the same tags. We examined an online video community, Bilibili, which specializes in Anime, Comic and Games (ACG) subculture. We asked 60 users to watch 15 videos and rate the 95 tags of these videos, and found that: 1) Users with more domain expertise give higher ratings for tags' relevance to the videos and their retrieval value; 2) Occasional users have the lowest understandability rating, followed by non‐users, and frequent users; 3) users think high‐frequency tags are less suitable for retrieval. These results may provide insights to high quality tag selection for personalized recommendation and retrieval.
Gender bias in invention
Authors: Wang Yukai , Yang Zhongkai , Wang Xianwen 
Published: October 2019

ABSTRACTGender bias exists not only throughout society but also in inventing. In this study, we identify the gender of 15,752,108 inventor in USPTO to analyze gender bias in invent. There are 3,525,055 invent teams led by male inventors (who are named first on the patent), and 435,341 invent teams led by female inventors. Even through the invent teams led by male are more than those of female, gender bias is also in the invent teams led by female. Specifically, the proportion of the joint inventor of female (20.4%) is 8.4% higher than that of male (12.0%) in the invent teams led by female. Moreover, the actual proportion of the joint inventor of female (20.4%) is 7.5% higher than that of expected (12.9%). Besides, the average number of joint female inventors are 0.24 more than that of joint male inventors in the female‐led invent teams.
Extracting method knowledge elements from scientific literature: A rule‐based approach
Authors: Wang Zhongyi , Shen Xueying , Huang Rong , Huang Jing 
Published: October 2019

ABSTRACTKnowledge elements are the basic unit of knowledge. Extracting knowledge elements from literatures enables granular knowledge organization and retrieval. This paper proposes a rule‐based framework for extracting method Knowledge Elements (KEs) in scientific literature aiming to improve the accuracy and complete extraction of method KEs. The method is divided into two stages: semi‐automated extraction of initial description rules of method KEs and automated derivation of additional description rules. In a preliminary evaluation on 415 papers, the precision and recall for the method KEs extraction are 0.77 and 0.84, respectively, indicating the effectiveness of our method.
Algorithmic accountability and digital justice: A critical assessment of technical and sociotechnical approaches
Authors: Rosenbaum Howard , Fichman Pnina 
Published: October 2019

ABSTRACTThe concept of digital justice is intended to open up discourse about strategies for bringing relief to those who believe they have been discriminated against or harmed by algorithmic decision making. Digital justice has depended on algorithmic accountability, a means by which entities can be held accountable for the consequences of algorithmic decision making. This paper critically examines the concept of algorithmic accountability to assess its utility as a ground for digital justice and argues that it is fraught with difficulties. After discussing digital justice and algorithmic discrimination, algorithmic accountability is decomposed into two types, technical and sociotechnical. These approaches are critically assessed and a cautionary note is struck about the difficulty of enacting algorithmic accountability. If this argument is persuasive, it implies that the concept of digital justice also has difficulties. The paper concludes with suggestions for moving forward that do not use either version of algorithmic accountability.
Research on voice search behavior in the last 10 years
Authors: Xing Zhaopeng , Yu Fei , Yuan Xiaojun 
Published: October 2019

ABSTRACTVoice search enables users to issue spoken information requests and retrieve desired information on web/mobile search interfaces. We conducted a literature review to examine the extent to which existing studies have addressed voice search behavior, with a focus on the employed methodologies and the focused topics in these studies. Fourteen relevant studies conducted since 2008 were identified from four publication databases. These studies were mainly focused on three aspects of search behavior: voice query characteristics, reformulation strategies, and users' perception/satisfaction. Our results provide a snapshot of how users perform and perceive voice search in order to inform future research and design of voice search systems.
Using crowdsourcing to construct special collection resources under the perspective of digital humanities
Authors: Xu Xiaojuan , Wu Manli 
Published: October 2019

ABSTRACTThis paper builds on the Fogg behavior model to explore the factors that drive users' participation in special collection resources crowdsourcing. Factors underlying the dimensions of motivation, ability and triggers are identified. This paper further explores the changes of the role of motivation, ability and trigger in initial and sustained participation. The results show that motivation and trigger are high in initial participation, and motivation and ability are high in sustained participation. The reasons for such change are further discussed. This study concludes with a discussion of theoretical and practical implications.