bluuebunny/crossref_metadata_2025_split huggingface dataset:
The role of data & synthesis centers in convergence research
Authors: Pollock Danielle , Allard Suzie , Yan An , Parker Michelle 
Published: October 2019

ABSTRACTThe convergence of scientific disciplines poses many challenges for data integration and management. As part of ongoing research into the role of data in new emerging research communities, we examined the perspective of synthesis center directors, professionals with expertise in supporting cross‐domain research using existing data to solve complex environmental challenges. Responses give insight into the roles data and synthesis centers play in the development of convergence research communities.
Bi‐LSTM+CRF‐based named entity recognition in scientific papers in the field of ecological restoration technology
Authors: Ma Jianxia , Yuan Hui 
Published: October 2019

ABSTRACTWe carried out an experiment to extract ecological‐restoration‐technology‐related entities (i.e., entities related to the fragile ecological remediation technology of desertification, rocky desertification, water and soil erosion control areas, place entities, and time entities related to the technology performed,) from full‐text documents published in the CNKI from 1978 to 2017. Based on the extraction of the time entities, place entities, and fragile ecological remediation technology entities, we analyzed the technologies with the greatest potential from among China's fragile ecological restoration technologies using the category clustering of fragile ecological restoration technologies with LDA and the place distribution and evolution of fragile ecological treatment technologies. This research shows that the proposed Bi‐LSTM+CRF combined with the feature‐based named entity knowledgebase can be used to perform geographical knowledge discovery from text, and it has has good prospects for applications in intelligence analysis based on text mining.
Library shelf signs affect users' search time length: Evidence from an experiment using a VR library system
Authors: Sato Sho , Harada Takashi , Itagaki Saki , Suehiro Asuka , Takamura Tomoka , Yamashita Koji , Ichikawa Ryuta , Sukoboshi Katsuhiko 
Published: October 2019

ABSTRACTThis study explores the effect of library shelf sign designs on users' search time length using a virtual reality (VR) library system that was developed by the authors to test library designs. An experiment was performed with 20 participants in 2018. The results showed that sign designs affected users' search time length. Signs featuring library classification reduced users' search time length by 80 seconds on average in comparison with signs featuring sequential shelf numbers that were not related to subjects. It was also revealed that the system is effective for testing library sign designs.
“I'm in the center of the vortex”: The affective chain of social media trolling
Authors: Tian Huixin , Chen Pei‐Ying 
Published: October 2019

ABSTRACTDominant models for the conceptualization of trolling fail to address the subjective experiences of its victims. By bringing affect into perspective, this paper explores the negative impact of trolling on individuals, drawing on data from semi‐structured interviews with 19 respondents who were trolled on popular Chinese social networks (e.g., Weibo, Zhihu, Renren), blogs, and forums (e.g., Baidu Tieba, Tianya). Our preliminary findings suggest that: (1) the affective chain of trolling is materialized by the social network platforms' affordability and human actors' desire for intensity, and (2) the victims of trolling were overwhelmed by the accumulated affective intensities in circulation to which they were exposed.
Enhancing scholar supportive data: Surveying the landscape of information resources for digital dunhuang
Authors: Wang Xiaoguang , Tan Xu , Duan Qingyu 
Published: October 2019

ABSTRACTCultural heritage informatics (CHI) has aroused great interest from libraries, archives, and museums (LAMs) in recent years. As an international project, the organization of digital Dunhuang resources is of typical significance. This study aims to explore the current situation of digital resources in Dunhuang, and discuss the digital Dunhuang in supporting of digital humanities (DH) research. (Methodology) 21 websites related to digital Dunhuang were accessed, and the subject, size, data type and organization of 8 arts & humanities databases were analyzed. (Finding) The study finds that digital Dunhuang resources are multi‐source, multi‐format, multi‐topical, multi‐lingual and multi‐cultural. However, the information organization of digital Dunhuang is not yet at the “fine‐grained” level. The interoperability and value density of the data is low, and only primary search and word frequency statistics can be used in these databases. (Conclusion) The lack of integration and relevance of resources are principal dimensions that hinder the research of DH, especially for the demand of data mining and analysis. Semantic enrichment may be an available chance for enhancing the data of digital Dunhuang and supporting DH research.
Detecting opinion evaluation object drift in Chinese microblog posts
Authors: Wang Xiao , Ma Chao , Chen Sijing 
Published: October 2019

ABSTRACTThe drift of opinion evaluation object can reflect the evolution of online public opinion from a fine‐grained level. By representing and calculating the distribution of opinion evaluation objects, we propose a method to detect its drift. A dataset of posts published by opinion leaders in social‐events discussion is collected from a microblog application in China. The preliminary result on the dataset shows that when subject discussion changes, opinion leaders will focus on the identity characteristic of one person in most cases. By using our proposed method, the drift of opinion evaluation object can be clearly uncovered. Furthermore, by combining with opinion sentiment tendency drift, our research can enrich the perspective of public opinion evolution analysis and better the monitoring of public opinion crisis.
A versatile approach for constructing a domain knowledge graph for culture
Authors: Wei Jingzhu , Liu Rui 
Published: October 2019

ABSTRACT[Question] The construction of cultural knowledge base in digital library is in progress with the development of information technology. However, traditional cultural knowledge bases are facing the problems of high participation of manual operation and monotonous data source. This paper combines knowledge graph, a frontier technology of artificial intelligence, to explore a new method of building high‐quality, automated cultural knowledge base. [Method] Using the experimental method, we selected the knowledge of the Hundred Schools of Thought in ancient China. Because these knowledges are clearly interrelated, it is suitable to construct the knowledge graph of them. The knowledge graph can provide experience for the construction of other cultural knowledge bases. [Conclusion] At present, this paper has preliminarily completed the experimental design of the knowledge graph of the Hundred Schools of Thought, and provided the flowchart of the construction of cultural domain knowledge graph.
Disciplinary comparisons of academic social networking site use by Chinese researchers
Authors: Yan Weiwei , Zhang Yin 
Published: October 2019

ABSTRACTThis poster showcases recent research on disciplinary comparisons within the academic social networking site ResearchGate (RG). It aims to depict how users from top Chinese universities utilize the site across disciplines and how researchers from a non‐English speaking country embrace the academic social networking platform for scholarly communication.
Investigating roles of social value orientation and domain knowledge in crowdsourced manuscript transcription
Authors: Zhang Xuanhui , Zhao Yuxiang (Chris) , Song Shijie , Zhu Qinghua 
Published: October 2019

ABSTRACTAlthough prior literature has presented some attempts on crowdsourcing transcripts, research on how individual differences affect the cooperation level and the quality of crowdsourcing transcripts is limited. Drawing on theories of social value orientation and domain knowledge, the study proposes that participants' social value orientation and domain knowledge will have significant effects on the cooperation level and the quality of transcription in crowdsourced manuscript transcription. Meanwhile, an interaction effect will exist between social value orientation and domain knowledge.
The antecedent and consequence of users' satisfaction and dissatisfaction with information seeking in online health communities
Authors: Zhang Jinchao , Luo Bo , Cao Fenfang 
Published: October 2019

ABSTRACTWith the improvement of individuals' health consciousness and health literacy, online health communities are employed as complementary sources by them to seek health‐related information. Given dominant information seeking behavior focuses exclusively on satisfiers, although dissatisfiers may not simply be their opposites, the purpose of this study is to investigate the antecedent and consequence of individuals' satisfaction and dissatisfaction with information seeking in online health communities. A research model was developed based on information quality and two‐factor theory. Information quality is the antecedent of users' satisfaction and dissatisfaction with seeking health information in online health communities. Individuals' continuance health information seeking behavior is taken as the consequence.
Scientists' academic disruptiveness significantly increased after they moved to China
Authors: Zhao Zhenyue , Li Jiang , Min Chao , Bu Yi , Kang Lele , Bian Yiyang 
Published: October 2019

ABSTRACTThis paper investigates the relationships between scientists' international mobility and their academic disruptiveness, by using data collected from the ORCID website and the Web of Science database (2008‐2017). Specifically, our observations contain 1,388 scholars who joined “brain gain” and “brain drain” and moved to China in the past decades. Results illustrate that scientists' disruptiveness significantly increased after they moved to China.
Recognizing sentences concerning future research from the full text of JASIST
Authors: Zhu Zihe , Wang Dongbo , Shen Si 
Published: October 2019

ABSTRACTIn the conclusion part of an academic paper, sentences concerning future research provide an outlook about future focus of research and reflect the latest development trend in a specific topic or field. These sentences are of high value for further investigation. However, very little has been done on sentences talking about future research in academic full texts. Here, papers in JASIST were studied with respect to these sentences. Deep learning model was trained on articles containing sentences annotated as relating to “future research” by BERT model. The model capable of automatic extraction of such sentences from academic full texts was obtained. Later this model was verified on the unannotated corpus, which demonstrated good performance. Finally, clustering was performed for the extracted sentences. It was found by cluster analysis that the sentences concerning future research were divided into four types. Our findings provide support for classification of sentences concerning future research.
Systematic examination of pre‐ and post‐retraction citations
Authors: Dinh Ly , Sarol Janina , Cheng Yi‐Yun , Hsiao Tzu‐Kun , Parulian Nikolaus , Schneider Jodi 
Published: October 2019

ABSTRACTScientific retractions occur for a multitude of reasons. A growing body of research has studied the phenomenon of retraction through systematic analyses of the characteristics of retracted articles and their associated citations. In our study, we focus on the characteristics of articles that cite retracted articles, and the changes in citation dynamics pre‐ and post‐retraction. We leverage descriptive statistics and ego‐network methods to examine 4,871 retracted articles and their citations before and after retraction. Our retracted articles data was obtained from PubMed, Scopus, and Retraction Watch and their citing articles from Scopus. Our findings indicate a stark decrease in post‐retraction citations and that most of these citations came from countries different from the retracted article's country of publication. Citation context analyses of a subset of retracted articles also reveal that post‐retraction citations came from articles with disciplinary and geographical boundaries different from that of the retracted article.
“A good intention gone awry”: Queering makerspaces to support queer creators
Authors: Floegel Diana 
Published: October 2019

ABSTRACTAlthough library makerspaces encourage community‐building and creativity, normative values in libraries may prevent queer individuals from using these spaces. Interviews with 11 adult queer entertainment media (EM) creators were analyzed using constructivist grounded theory to explore participants' perspectives on creating in libraries. Opportunities and obstacles related to physical spaces, community relationships, and resources demonstrate that makerspaces should be considered within overall contexts of library services in order to examine libraries' utility for queer people. Results support the idea that makerspaces need to be woven into library programs and services more broadly to make libraries more inclusive environments.
Knowledge transfer from technology to science: The longevity of paper‐to‐patent citations
Authors: Hsiao Tzu‐Kun , Torvik Vetle I. 
Published: October 2019

ABSTRACTCitations between papers and patents reflect transfer of knowledge between science and technology. Patents commonly cite papers but papers rarely cite patents. Here, we identified 6,033 paper‐to‐patent citations in a collection of 1.5 million PubMed Central open access articles. These citing papers and cited patents contained 132,536 paper‐to‐paper, 200,339 patent‐to‐patent, and 36,342 patent‐to‐paper citations. These four citation datasets were used to model the temporal patterns of knowledge transfer within and across patents and papers. We found that the cited patents are generally much older than the cited papers, regardless of whether they are cited by papers or patents. Discipline, affiliation type, and self‐citation also affect the age of the cited papers and patents. The recency of the citations partly explains the asymmetry in citations between papers and patents.
Cultural barriers to intellectual property ethics: A theoretical model
Authors: Jin Tao , Chen Meihua 
Published: October 2019

ABSTRACTNumerous studies have revealed that cultural factors play an important role in intellectual property (IP) management in cross‐national contexts. Although understanding the factors is currently recognized as an essential problem, little research has been done on systematically analyzing and modeling these cultural norms and values. This paper reports on a work in progress that aims to build a theoretical model to explain the differences of people's perceptions about IP infringement in different countries. In this paper, we introduce the background of the study and propose the theoretical model that was gleaned from a systematic review effort.
When power goes wild online: How did a voluntary moderator's abuse of power affect an online community?
Authors: Yang Yukun 
Published: October 2019

ABSTRACTOnline moderation is apropos to community curation as a way to fight against malicious behaviors bristling on User‐Generated Content (UGC)‐based Social Network Sites (SNS). Given the current research gap on voluntary moderation from the perspectives of power misuse, we investigate how power abuse by a moderator would affect the community dynamics in terms of participation indicators, linguistic characteristics, and network structure in a computational fashion. An event on Reddit is chosen for a case study. Using interrupted time‐series analysis and social network analysis, we find moderation fueled short‐term feuds and brought potential prolonged destruction to the community. People's linguistic patterns remained stable while the liberation from “tyranny” brought the community back to life and the power competition entailed negative repulsion. We also find an “Exodus” phenomenon as netizens voted with their feet and migrated to a mirror community when facing severe moderation. This preliminary research expands the connotation of moderation by addressing more forms of power abuse. We also refer to social movement and community choice theories in relevant fields and provide the insights of online moderation from interdisciplinary perspectives.
Listening to the user's voice: A temporal analysis of autism‐related questions on Quora
Authors: Zhao Yuehua , Min Chao , Han Xu , Deng Sanhong , Wang Hao , Li Jiang 
Published: October 2019

ABSTRACTSocial question and answer (Q&A) platforms offer a new way for identifying information needs of people with certain diseases. Taking Quora as an example, we examine which health topics are of interest to autistic people and how these topics evolve over time. Experimental results reveal increasingly heavy and diverse attention to the condition, from diagnosis and treatment of autism itself to extended issues like social challenges, parenting, and education issues. We find that users tend to post clinical concerns about autism on Quora although traditionally such social Q&A platforms encourage more social and awareness‐level questions. New concerns have appeared recently about autism's relations to other diseases like attention deficit hyperactivity disorder (ADHD) and obsessive–compulsive disorder (OCD). This study is beneficial for tracking and responding to autistic patients' and caregivers' information needs.
Who you gonna call? seeking information and expertise for decision making in local government
Authors: Irvine‐Smith Sally 
Published: October 2019

ABSTRACTThis paper analyzes the findings of a research project into the information seeking practices of local government decision‐makers in terms of collaborative information seeking (CIS) and expertise seeking. It finds that the participants do collaborate in information seeking and that there is a clear preference for personal information sources. The generally accepted definition of CIS as groups collectively seeking information in the performance of common projects or tasks is found to have limited applicability in many real‐life situations. Conversely, viewing expertise seeking as an individual activity in which another person is selected as an information source based on their high level of knowledge or skill does not reflect the collaborative nature of the modern organization. It is argued that neither approach adequately accounts for the full range of behaviors observed in practice, and that research into organizational information behavior would benefit from a conceptual amalgamation of CIS and expertise seeking.
Investigation of users' knowledge change process in learning‐related search tasks
Authors: Liu Hanrui , Liu Chang , Belkin Nicholas J. 
Published: October 2019

ABSTRACTThis study aims to examine users' knowledge change characteristics and knowledge change process, and examined factors that may influence users' knowledge change process. A user search experiment was conducted, in which participants were asked to search for two learning‐related search tasks and use a mind‐map to organize their thoughts during the search process. Pre‐ and post‐search questionnaires were distributed to collect users' self‐assessed topic familiarity and task difficulty. Besides the overall knowledge change process by all the users, we identified four types of knowledge change styles using a hierarchical clustering method: Early knowledge change, Medium‐term knowledge change, Late knowledge change and Average knowledge change. In addition, we found that task type, task difficulty in information integration and difficulty in drawing the mind‐map had significant influences on users' knowledge change styles. This study took a process perspective to characterize users' knowledge change at different stages and shed light on when and how learning occurs during the search process.
Mapping digital information security management in the university libraries of Pakistan
Authors: Aslam Maria , Khalid Ayesha , Batool Syeda Hina , Farid Ghulam 
Published: October 2019

ABSTRACTMaintaining digital information and protecting data assets remains a principal concern in libraries. Digital information security awareness is a major tool in overcoming incidents about data loss in libraries. This paper focuses on the awareness level of librarians and current status of digital information security management (DISM) in academic libraries of Lahore, Pakistan. The results also highlight the policies at individual or institutional level about DISM in selected libraries. The data were collected through structured interviews from 15 public and private sector academic librarians. Findings revealed that presently, digital resources are the integral part of university libraries such as OPAC's, official records and digital resources. However, information professionals did not show interest in security management of digital resources, as they least considered this role as part of their jobs. Therefore, they attended limited training programs to update their knowledge. A general trend indicates that institutional information technology departments were responsible for maintaining library server, network and hardware.
Empowering citizens to manage their chemical exposures step 1 ‐ identify ingredients in consumer products
Authors: Kim Jenna , Blake Catherine , Gabb Henry A. 
Published: October 2019

ABSTRACTOur choices around consumer products directly influence our amount of chemical exposure. Although access to chemicals within individual products are available, we often use multiple products so ingredient names must be harmonized to accurately estimate cumulative exposure. We evaluated the accuracy and coverage of two strategies, PubChem and tmChem, with respect to a database of 55K products. More than half of the ingredients identified by PubChem were specific chemical names (55%), followed by natural or artificial colors (20%) and plants or plant derivatives (13%). The majority of ingredients identified by tmChem were chemical names (83.9%). Only 1,696 of the 8,247 (20.56%) were identified by both systems. Although tmChem had better coverage, ~70% of ingredients identified by tmChem need further work to align with a specific chemical. Both strategies are needed to provide an accurate, personalized, and cumulative measure of chemical exposure.
Facilitating Open Access to Information: A Community Approach to Open Education and Open Textbooks
Authors: Stagg Adrian , Partridge Helen 
Published: October 2019

ABSTRACTAccess to information as a necessary precondition for human flourishing is recognized explicitly in the UNESCO Strategic Development Goals, and mirrored by the work of universities globally to reduce barriers to information, especially research outputs. Growing international attention has turned to learning and teaching resources, particularly textbooks as a key barrier to fully engaging with, and participating in, higher education. The affordances of open texts provide an alternative to commercially published and often exclusionary access practices; and empower educators and students in co‐creation and open sharing of information and knowledge. This paper examines the design of an ongoing institutional grants program predicated on a facilitated community learning approach for academic staff seeking to adopt, or adapt open textbooks into the curriculum as one mechanism to increase access to information. The participants' experiences and personal learning were captured through a series of semi‐structured interviews that inform the iterative design of the ongoing grants program that could be transferred to other institutions seeking to support educational change.