Preliminary Conference Agenda

Overview and details of the sessions of this conference. Please select a date or room to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

This agenda is preliminary and subject to change.

Session Overview
Juried Poster Session 1 of 2
Thursday, 23/Mar/2017:
5:00pm - 6:30pm

Location: Westin Grand Ballroom/Big Conference Hall
Location: Third Floor Capacity: 1,000 Size: 1500㎡

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Research on duplication of Personal Names in Chinese Authority File

Yanqing Shi1, Jianjun Sun1, Junzhi Jia2

1Nanjing University, China; 2Shanxi University,China

As the number of name authority records in databases increases, problems of homonym headings and name disambiguation become more common in Chinese name authority files. This poster focuses on researching the usage and problems of the additional components for Chinese personal names, as well as the influence of this situation on quality of name authority files. The study aims to provide useful assistance to promote the accuracy of identification of homonym names and development of rules for additional components of personal names.

Understanding transdisciplinary scholarly communication in the field of joint attention

Jian Xu1, Ying Ding2

1School of Information Management, Sun Yat-sen University, Guangzhou, China; 2School of Informatics and Computing, Indiana University, Bloomington, IN, USA; Tongji University Libraries, Tongji University, Shanghai, China; School of Information Management, Wuhan University, Wuchang, China

Communication across disciplines is a well-known challenge for transdisciplinary collaboration. This study provides a quantitative approach to analyze the topic evolution in transdisciplinary domains as well as communication and mutual influence between them. The approach includes three main components: term extraction, ACT model, and topic similarity calculation. Given the result of topic similarity and term distribution probability of topics, the topic visualizer transforms the abstract topic mining results into a comprehensible visualization for further analyses. Taking the field of “joint attention” as example, preliminary analysis results show that the researches about “joint attention” are becoming more popular and maturity gradually in three separated domains; the topic evolution patterns of three domains show distinctive characteristics; the communication barrier between domains does exist apparently, which may hinders the large scale knowledge diffusion across disciplines. The proposed approach provides a foundation for further research to improve the communication across disciplines.

Leveraging Social Media to Facilitate Intergenerational Learning: Bridging Digital Immigrants with Digital Natives

Yuxiang Zhao1, Yutian Shi2, Qinghua Zhu2

1Nanjing University of Science and Technology, China, People's Republic of; 2Nanjing University, China

Intergeneration learning (IGL), which is viewed as one form of lifelong learning involving the transfer of knowledge and skills across generations, can be conducive for us to deal with ageing population. Our objective is to examine how social media can promote IGL process, reinforcing the relationship bonds and cooperation between digital immigrants and digital natives, and to enhance the digital skills and media literacy of older generation. Compared with the traditional IGL concepts, we argue that the new paradigm of IGL should focus on ICT-enabled communication and collaboration. According to the characteristics of IGL and our objectives, we plan to employ the action research to find out what kind of knowledge and skills will be exchanged, and what dynamics will have effects on the participation, communication, and collaboration between generations. The workshops, online platforms and immersive situational learning are the three practical activities in our further research design.

Studying Service and Metadata Models of Research Information Management Systems

Dong Joon Lee1, Besiki Stvilia2, Shuheng Wu3

1Texas A&M University, United States of America; 2Florida State University, United States of America; 3Queens College, The City University of New York, United States of America

As the uses for research information management (RIM) systems grow, digital curation communities are increasingly interested in building shared, sustainable, community-based models for RIM services and metadata, and connecting those models to researchers’ activities and needs. This paper presents RIM service and metadata models and compares the models to researchers’ activities and engagement levels in RIM systems. The findings of this study can inform the design of RIM service templates or repertoires for different levels of researcher participation in RIM systems. Future related work will include the collection and analysis of empirical data of the actual uses of RIM services and metadata by researchers.

Wikipedia Based Automatic Diagnosis Prediction in Clinical Decision Support System

Danchen Zhang1, Daqing He1, Sanqiang Zhao1, Lei Li2

1University of Pittsburgh, United States of America; 2Nanjing University of Science and Technology, China

When making clinical decisions, physicians often consult biomedical literatures for reference. In this case, an effective clinical decision support system, provided with a patient’s health information, should be able to generate accurate queries and return to the physicians with useful articles. Related works in the Clinical Decision Support (CDS) track of TREC 2015 demonstrated the usefulness of knowing patients’ diagnosis information for supporting more effective retrieval, but the diagnosis information is often missing in most cases. Furthermore, it is still a great challenge to perform large-scale automatic diagnosis prediction. This motivates us to propose an automatic diagnosis prediction method to enhance the retrieval in a clinical decision support system, where the evidence for the prediction is extracted from Wikipedia. Through the evaluation conducted on 2014 CDS tasks, our method reaches the best performance among all submitted runs. In the next step, graph structured evidence will be integrated to make the prediction more accurate.

Assessing the Feasibility of Capability Approach Based ICT4D Impact Evaluation–Community Wellness Outcomes from Ghanaian’s Mobile Phone Use

Moonjung Yim, Ricardo Gomez

University of Washington, United States of America

To plan the next step for expanding the use of information and communication technology (ICT) in developing countries, it is essential to evaluate the effectiveness and impact of ICT for development (ICT4D or ICTD), reflecting the evolving meanings of the technologies to people. As a way to operationalize Capability Approach, Community Wellness Outcomes (CWO) Toolkit aims to assess a set of outcomes that indicate advanced individual freedoms, and are not assessed by traditional economic indicators such as income or wealth. The Toolkit consists of various instruments such as workshop (focus group) guide, Likert scale and interview questions, and participatory photography activities guide. This study will be regarding the first implementation of CWO Toolkit instruments in Ghana, scheduled between August and September 2016. The work will primarily focus on assessing the feasibility of implementing the Toolkit for broader use.

Automatic Course Website Discovery from Search Engine Results

Rui Meng, Zexin Zhao, Yu Chi, Daqing He

School of Information Sciences, University of Pittsburgh, United States of America

With the rapid development of Internet Technology, the forms of education have been undergoing drastic changes. Instructors are used to posting teaching materials on course websites and setting them publicly accessible. Thus large amounts of course resources have been well organized and shared, which also provide possibilities for building knowledge graphs for a specific domain. However, so far no specific method has been developed for collecting online course resources. In this paper, we propose a method to identify course websites by filtering search results from a general search engine. Experiment results show that the proposed method could achieve good performances on both within-domain and cross-domain tasks, which lays a solid foundation for further work on mining and integrating the online educational resources.

Interoperable Data Science at iSchools—How Do iSchools Expand Their Horizons?

Ji Hei Kang1, Eunhye Moon2

1Dongduk Women's University, Korea, Republic of (South Korea); 2Sungkyunkwan University, Korea, Republic of (South Korea)

While industry demand is increasing for data science, the interdisciplinary studies are getting important. In contrast to the surging expectations that LIS curriculums embrace more knowledge of domains, there have been too few studies focused on this approach. This study, therefore, aims to identify how iSchools can expand their scholarly horizons and differentiate themselves in Tier 1, 2, and 3 schools’ curriculums. The findings identify that the words health, management, social, GIS, and business were used frequently in data science curriculums at iSchools. Through a text-mining process, 11 related areas are emerged including health and management. This study also demonstrates that Tier 1, 2, 3 schools have different strategies to provide across disciplinary courses. The findings are expected to serve as practical solutions for LIS schools to data science needs.

The Open Data Literacy Project

Nicholas Weber, An Yan, Carole L. Palmer

The Information School, University of Washington, United States of America

The Open Data Literacy project is preparing future and current librarians to advance open data initiatives in public libraries. This poster will provide an overview of our core activities and progress to date, with a focus on strategies iSchools can implement to collaborate with public sector partners to overcome the current lag in data expertise in the public library workforce. Core activities include new curriculum for master’s students in Library and Information Science, a slate of fieldwork opportunities at institutions with open data initiatives, and community workshops and open education resources for public librarians and information professionals. The educational framework will improve public accessibility and use of open data while increasing the data capabilities of both new and practicing information professionals in public libraries.

Library as Platform: Embracing the Generativity of Public Library Space

Ingrid Erickson

Syracuse Unviersity, United States of America

Public libraries have a long legacy of serving the public via service provision, yet this poster argues that the library needs to be reconsidered for the generativity embedded in its physical space. Investigating the New York Public Library and Seattle Public Library as result of a study focused on mobile knowledge workers shows how the library is currently being used as a 1) space for productivity; 2) space for community building and sociality; 3) space for meeting; and 4) infrastructural space. Adopting this framework puts a new onus not only on designers (or renovators) of a library’s physical environments, but equally on those who help to establish the norms of practice in these spaces.

“Diba Expedition to Facebook”: A Preliminary Study of the Massive Online Collective Action in China

Shengnan Yang, Pei-Ying Chen

Indiana University Bloomington, United States of America

In this study, we examined the pattern of “Diba Expedition to Facebook” to figure out the particularities of online collective actions in the context of the Chinese internet. A mixed-method approach was adopted to analyze over 26,000 comments on Facebook, of which 400 were sampled for content analysis. Our preliminary findings over patterns and distribution of comments as well as language tactics indicate the three possible causes of the acceptance of this action by the public and Chinese government: First, online action with less commitment had little impact in real life. Second, a well-controlled action could reduce vandalism. Lastly, the pre-selected repetitive messages used by Chinese netizens reflected the same political ideology as the Chinese government.

Does the Cloud have a Silver Lining? Privacy Concerns and Perceived Risk in Cloud Technology Adoption

Cheryl Lynn Booth, Shuyuan Mary Ho

Florida State University, United States of America

Cloud technology has become a part of our daily lives. With increasing frequency, services and products are available only online, and to obtain them, the user often must disclose sensitive and personal information. Thus, online users often face a dilemma: whether to accept the risks of sharing personal information online in exchange for the particular services or products, or to forego the desired services or products. In this paper, we explore the concepts of privacy concern, perceived risk and trust, and present a behavioral model incorporating these key elements as predictor and moderator variables influencing a user’s ultimate adoption/ use decision. Our proposed model integrates these factors with elements of the Theory of Planned Behavior and the Technology Adoption Model. We conducted a pilot study that validates a part of the model, and concluded the paper with discussion of the future work.

Development and Access to Information: Assessing the contribution of access to information to advancing the UN Sustainable Development Goals

Maria Garrido, Michelle Renee Fellows, Lucas Koepke

Technology & Social Change Group, University of Washington, United States of America

Access to information (A2I) is an issue that underpins development policies globally. We see this play out prominently in the Sustainable Development Goals (SDGs) of the UN 2030 Agenda, where A2I is embedded in targets on ensuring public access to information, universal internet access, and international knowledge sharing, while also supporting targets related to improved health, education, economic, and governance outcomes. The Development and Access to Information Project will assess how A2I contributes to advancing the SDGs over the 15 years covered by this global agenda. This poster outlines our approach and shares early outputs from our research, including a baseline of global A2I indicators and an analytical framework designed to track progress in the A2I landscape through 2030.

Library and Information Policies in the US – Historical Study

Mei Mei Wu, Yu Han Hsieh, Shan Yin Yang, Chilung Chang

NTNU, Taiwan, Republic of China


The first federal law of Library Services Act in the U.S. passed in 1956. The fact that Museum and Library Service Act became Public Law in 1996 authorized the institute to support for library services. Yet the legislation process has always been complex. For example, in 2014 the issues of information as public goods or private property, information access as basic human right have been the subject of intense debate. This study is designed to provide an analysis of important legislation that would affect library and information policies and privacy. Two research questions are proposed: (1) What are the library and information service related laws in the U.S.? (2) When and how these laws are realized? Historical research approach and content analysis were applied. This poster will present an inventory of information related bills and Laws chronologically and give a historical overview on two selective areas to illustrate the key factors that made the success of legislative results.

Documents Representation for Comparable Corpora Clustering: A Preliminary Study

Shutian Ma1, Chengzhi Zhang1,2

1Nanjing University of Science & Technology, China, People's Republic of; 2Jiangsu Key Laboratory of Data Engineering and Knowledge Service (Nanjing University), Nanjing, 210094, China

With increasing globalization, digital libraries tend to provide multilingual documents access. There have been lots of available text information covering the same or similar topic written in multiple languages, namely comparable corpora. To better organize such information with clustering technique, we have explored three document representation methods, Latent Semantic Indexing (LSI), Latent Dirichlet Allocation (LDA) and Doc2Vec (D2V) in task of comparable corpora clustering before. Previously used comparable corpora are in small size of hundred magnitude. In this poster, we use the comparable corpora of regular amount. Methods are found to perform differently when representing dimension sizes are different. Clustering results are investigated according to different representation methods. Choices of the best method for comparable corpora clustering are also discussed.

Indigenous Information System in Chiapas, Mexico: integrating community radio, library and impact assessment for community development

Ricardo Gomez1, Clarita Lefthand-Begay1, Jeannie Berwick2, Cala Zubair2, Yvette Iribe1, Sigifredo Mora1

1University of Washington, United States; 2One Equal Heart Foundation, United States

We discuss an integrated information and evaluation system for indigenous development with the Tzeltal indigenous communities in the southern Mexican state of Chiapas. We create an integrated system that brings together an indigenous community radio station, an indigenous library and documentation center, and a program to evaluate the impacts of development activities in the region, from an indigenous perspective. This project illustrates interdisciplinary work in information science that combines indigenous world views with modern information technologies, brought together for locally relevant community development.

Topic-based Author Cocitation Analysis: A Preliminary Exploration

Yi Bu1, Win-bin Huang2, Ying Ding1, Peng Ai3

1Indiana University, United States of America; 2Peking University, People's Republic of China; 3University of Wisconsin-Madison, United States of America

Author cocitation analysis (ACA) plays a significant role in mapping knowledge domains. However, it has been criticized to be relatively less informative because topic- and semantic-level information of citations has seldom been integrated into ACA. This poster aims to improve the traditional ACA by combining topical information of cocited authors with author cocited counts, which is called topic-based ACA. Author-Conference-Topic (ACT) model is adopted in this research to calculate topic distributions of authors. Compared with traditional ACA, topic-based ACA shows a better clustering ability in visualization and mines more details in knowledge domain mappings.

Why We Need More Translated Children’s Books from China: Addressing the One-Way Street of Translation in the United States

Annette Y Goldsmith1, Ke Huang2

1University of Washington Information School, United States of America; 2Iowa State University, United States of America

Startlingly few children’s books published in the United States are translations of books that originate in other countries. Even fewer merit consideration for the Mildred L. Batchelder Award, which recognizes the best translated children’s book in the U.S. The Batchelder committee typically selects from a field of perhaps 30 titles dominated by European languages. Winners or honor books from China or other countries with Chinese as the majority or co-official language are rare. One book by internationally famous Chinese author Cao Wenxuan is finally being published in English in the U.S., yet publishers in mainland China, Hong Kong, and Taiwan regularly publish translations of U.S. children’s books. The proposed study will employ Radical Change theory and content analysis to examine the translations that do exist. Efforts to address the imbalance through global collaboration will be discussed. Findings will include a bibliography of translations and a description of new advocacy groups.

Analyzing Figures of Brain Images from Alzheimer’s Disease Papers

Satoshi Tsutsui1, Guilin Meng2, Xiaohui Yao3, David Crandall1, Ying Ding1,4,5

1School of Informatics and Computing, Indiana University, Bloomington, USA; 2Department of Neurology, Tenth People’s Hospital, Tongji University, Shanghai, China; 3School of Informatics and Computing, Indiana University, Indianapolis, USA; 4Library, Tongji University, Shanghai, China; 5School of Information Management, Wuhan University, Wuhan, China

Which papers focusing on Alzheimer's disease (AD) include MRI scans of human brains? These images play an important role in clinical detection of AD, but finding them currently requires manual inspection of papers after a keyword search. In order to provide AD researchers with a more efficient way of finding relevant papers, here we focus on three preliminary problems involving automatically identifying figures containing brain images, and solve them as automatic image classification tasks. This is a first step towards efficiently allowing AD researchers to retrieve papers containing a particular type of brain image (e.g. of a patient). We report preliminary results from a larger project, in collaboration with AD researchers.

Pull or Push? Exploring Graduate Students’ Source Preferences in Seeking Academic Information

Hsiao-Tieh Pu

National Taiwan Normal University, Taiwan, Republic of China

As information becomes more accessible nowadays, people obtain information through diverse sources and with different access patterns. This exploratory study employed interviews and participant-drawn information source maps to collect graduate students’ preferred sources as well as information access types in seeking academic information. The results show that the participants preferred information-intensive sources like electronic databases, institutional websites, and search engines; and real human sources like advisors and peers, while social media was less preferred sources. Most of the sources position as pull-oriented, and push-oriented sources were less occurred in academic contexts. The study also proposed an innovative representation of preliminary results combining two dimensions of source preferences and information access types. The semicircle spectrum diagram elucidates the participants’ academic information source horizon and provides a common phenomenon from a new perspective, which may spark interests for future related research.

A Framework for Studying Motivations for Self-archiving on Academic Social Network Sites

Jongwook Lee1, Sanghee Oh2, Hang Dong3, Fang Wang2, Gary Burnett2

1Kongju National University, Korea, Republic of (South Korea); 2Florida State University (United States); 3Xi'an Jiaotong-Liverpool University

Sharing academic papers on academic social network sites (ASNSs) is a form of self-archiving. Although self-archiving has been discussed at length in the context of open access repositories, few researchers have examined self-archiving in the context of social media. To address this dearth of research, we proposed a motivation framework that is applicable to investigate users’ self-archiving motivations in ASNSs. The framework proposed in this study consisted of eighteen factors covering four dimensions: (1) personal, (2) social, (3) professional, and (4) constraining/enabling factors. In our future studies, we will test our framework and examine users’ motivations in self-archiving their work in one of the most popular ASNSs, ResearchGate (RG). Specifically, RG users' demographic and disciplinary characteristics will be related to their motivational factors.

Types of Tags for Annotating Academic Blogs

Lei Li1, Daqing He2, Danchen Zhang2, Yu Chi2, Chengzhi Zhang1

1Nanjing University of Science and Technology, China, People's Republic of; 2University of Pittsburgh

Academic blog sites are popular academic information exchange platforms, and they have been widely used in recent years. Blogs in those sites are often annotated with tags, and the tags can help to describe, organize and retrieve these blogs. However, it is still unknown what types of tags are frequently adopted for annotating academic blogs. In this poster, we present survey results for detecting the usage of tag types, and its changes with the bloggers' demographic information. We believe that our study can benefit users in their access to academic blogs and help the academic blog websites improve their services.

Uncovering Hidden Behavioral Patterns in the Era of “We Media”: Modeling Spatio-Temporal Dynamics for Twitter News

Hong Huang1, Han Yu2, James Andrews1, JungWon Yoon1, Kelsey Burgess1

1University of South Florida, United States of America; 2Miami University, United Statas of America

This research presents a Bayesian statistical model to examine spatio-temporal effects for Twitter use when reporting important events or news. The proposed model tests the Twitter News data surrounding the United States Supreme Court’s Myriad Genetics, Inc. June 13, 2013 decision and its impact on direct-to-consumer genetic testing and gene patenting. The model demonstrates the sensitivity in distinguishing the behaviours of Twitter users’ followers with and without adjusting spatio-temporal effects. It was also found that media professionals’ tweets were coming thick and quick, and producing “waves” of engagement of followers. However, grassroots actively participate in tweeting and constantly engage more followers. The model maps tweets across the spatial heterogeneity and temporal evolution in the early and post recognition and discussion of events. These findings demonstrate the importance of spatio-temporal effects to influence professionals or non-professionals for tweeting. The model also guided researchers to detect sub-events with low latency.

Understanding Consumers’ Experience Product Consumptions by Combining Social Network and Spatial Influence

Guanghua Chi

UC Berkeley, United States of America

Location-based mobile check-ins have been widely used in social network applications. We analyzed a large-scale mobile check-in dataset and explored consumers’ decisions. Usually, social influence is considered to be quite important in consumers’ consumption choices of experience product and a series of works have studied such effect. But we found that most of the check-ins are not based on the observation of former check-ins made by friends. People make most of the choices based on their daily routine and the social influence leads them to deviate from the track. We used the radiation model to simulate the daily routine consumption. We found that this model has high explanation power in regular check-in choices.

Understanding Academic Writing Style from the Perspective of Linguistic Closeness of the Speaker’s Native Language to English

Chao Lu1,2, Yi Bu2, Ying Ding2, Chengzhi Zhang1

1Nanjing University of Science and Technology, China; 2Indiana University, United States of America

This poster examines the relationship between researchers’ Linguistic Closeness of the native language to English (LCoE) and their writing styles. The “LCoE of articles” were defined according to the LCoE of their first and corresponding authors which are output by Ethnea, a system with an input of authors’ full name and an output of their possible mother languages. The mean and standard deviation of the sentence length as well as average proportion of different parts of speech are utilized as two major indicators. Preliminary results showed three features of academic writing on researchers with higher LCoE: (1) longer sentences; (2) the combination between long and short sentences; and (3) more proportion of verbs.

Dolmen: A Linked Open Data Model to Enhance Museum Object Descriptions

Clément Arsenault1, Elaine Ménard2

1EBSI, Université de Montréal, Canada; 2School of Information Studies, McGill University, Canada

Our research project, DOLMEN (Linked Open Data: Museums and Digital Environment), offers to develop a linked open data model that will allow Canadian museums to disseminate the rich and sophisticated content emanating from their various databases and to, in turn, make their cultural and heritage collections more accessible to future generations. The use of linked open data creates a new context for enriching museum objects descriptions within existing metadata records and linking them to semantically related resources. In other words, object descriptions will be improved by adding data provided by various museums and other cultural resources databases. DOLMEN is intended to be an innovative tool for both professionals working in museums and the general public that will provide better access to Canadian cultural and heritage collections.

Fearing of Missing Out (FoMO) in Mobile Social Media Environment: Conceptual Development and Measurement Scale

Xiaokang Song1, Xuanhui Zhang1, Yuxiang Zhao1, Shijie Song2

1Nanjing University of Science and Technology, China, People's Republic of; 2Ford Motor Research & Engineering, Nanjing, China

Recently, a new phenomenon termed Fear of Missing Out (FoMO) has successfully attracted our attention. FoMO is usually regarded as a concept of cognitive psychology, which reflects a kind of individual psychological state, namely the desire to know and understand what is happening externally. With the sweeping progress of mobile Internet and smart devices, FoMO has evolved from the individual manifestation to a prevalence social phenomenon. We argue that FoMO should be viewed as a multi-dimensional construct, which may refer to individual’s psychological motivation, cognitive state, and behavioral performance in a dynamic way. In this study, an operational definition will be proposed to depict the FoMO in mobile social media environment. Then, based on the literature research and interview method, we develop the measurement scale of FoMO in mobile social media context, and use the data of questionnaire survey to verify the convergent and discriminant validity of the scales.

To Learn or not to Learn? The Primary School Students’ Usage of Internet for Learning.

Jiaxin An, Yicheng Fu, Mingzhen Wang, Chang Liu

Peking University, China, People's Republic of

Internet has permeated into children’s everyday life. Some research found children have used Internet for learning, other research argued that children use Internet more for entertainment. In this exploratory study, we recruited primary school students to keep diaries on their Internet usage for learning and conducted focus group with some participants, and found that without factors like education requirements, most students have little need of Internet for their study, regarding the Internet as a way for fun. This study suggests that social factors that may influence children’s attitude and behaviors on the Internet, and provide suggestions for future guideline to motive and encourage children to make better use of Internet to problems for their learning and other activities in their everyday life.

Academic libraries: opportunities and challenges of resource sharing within a merger

Berthilde Uwamwezi

University of Borås, Sweden

Much of the research on library resource sharing focused on libraries in developed countries, and additional information is much needed about the process, challenges and opportunities in developing countries. In 2013 the government of Rwanda decided to merge previously independent universities into one national university where libraries had to function as one unit and share resources. This study explores the practices of resource sharing between libraries of the merged University of Rwanda (UR). Semi- structured interviews and participant observations were conducted with 25 participants (senior managers and library directors) selected purposively. In addition, policy documents were also collected. Empirical materials were analyzed in line with a practice theory framework using a qualitative approach. Preliminary results presented the opportunities offered by resource sharing but also revealed challenges related to resource sharing and possible solutions. Although the study is based on a public university experience, it is useful for other libraries.

Importance and use of psychosocial information to inform chronic care decisions in the U.S., considered against ICT capabilities in the developing world

Charles Senteio1, Ikenna Nwamba2

1Rutgers University School of Communication and Information, United States of America; 2University of Michigan Medical School, United States of America

Chronic disease morbidity and mortality is increasing in the U.S. and the developing world, despite effective treatment regimens. Low adherence is a primary driver of incidence and disease progression, and psychosocial factors influence recommended self-care behavior. In the U.S. despite increased use, health IT tools (e.g., EHR) do not support the collection and use of psychosocial information which practitioners indicate influences chronic care decisions. In the developing world, HIT-enabled capabilities are limited by lack of resources. Despite this, practitioners in the developing world currently use mobile telephony and social media to engage their patient community. But little is known as to how these tools support collection and use of psychosocial information. As HIT-enabled capabilities continue to expand in the U.S. and the developing world, lessons learned can help inform the development of capabilities to capture and use psychosocial information to support chronic disease care.

Mining Causal knowledge from Autism Newspapers

Yujia Zhai1, Shaojin Sun2, Ying Ding3

1Department of Information Resource Management, The Business School, Nankai University, China; 2Journalism School, Fudan University, China; 3School of Informatics & Computing, Indiana University, USA;

Autism is a lifelong developmental disability that affects how people perceive the world and interact with others. It has received enormous attention from both the academia and media. The causes of autism carried by the news media have an even bigger impact on the people’s opinion about autistic people and various treatments. In this research, we use machine reading technique to automatically extract causal relationships from autism news. We reveal the major diseases, causes and symptoms related with autism. We find that vaccine, gene and parenting are the main causes reported in the history of autism news. We also demonstrate the coverage of the causal relationships across time which shows gene has become the most important cause of autism surpass vaccine.

Public Machine Reading System for Alzheimer’s Disease Literature

Satoshi Tsutsui1, Guilin Meng2, Ying Ding1,3,4

1School of Informatics and Computing, Indiana University, Bloomington, USA; 2Department of Neurology, Tenth People’s Hospital, Tongji University, Shanghai, China; 3Library, Tongji University, Shanghai, China; 4School of Information Management, Wuhan University, Wuhan, China

Alzheimer's disease (AD) is an incurable disease that has a high social impact, and requires further research. However, the current amount of literature is already overwhelming that even AD researchers cannot follow. This is a serious problem because it could hinder the progress of research. With this motivation, we started a project collaborating with AD researchers, aiming to contribute the AD research as computer and information scientists. As a preliminary result from the project, we introduce a search system on AD powered by machine reading, which is the idea to use computers to read thousands or millions of papers.The system is available in public:

An Exploration of the Intersection between Black Music and Teaching Computer Science

Stephy Oge1,2, David James1,3, Carolyn Jung1,4

1University of Pittsburgh; 2University of South Florida; 3Loyola University Maryland; 4University of California, Irvine

This poster recognizes the overarching need for multiculturalism in the field of computer science and related fields. After identifying key themes in the literature, we seek to explore the links between culturally relevant pedagogy and computer science, using Black music with college students. Data will be collected from pre- and post-surveys given to students in an introductory computer science course. Participants will be freshmen and sophomores not in computer science majors at a small mid-Atlantic liberal arts university. The practical implications of this quantitative study are to examine the best practices of teaching computer science to college students to increase ethnic inclusiveness in the field of computer science.

Automatic ICD Code Assignment to Medical Text with Semantic Relational Tuples

Sanqiang Zhao1, Daqing He1, Danchen Zhang1, Lei Li2, Rui Meng1

1University of Pittsburgh, United States of America; 2Nanjing University of Science and Technology

Mining the Electronic Medical Record (EMR henceforth) is growing in popularity but still lacks good methods for better understanding the text in EMR. One important task is assigning proper International Classification of Diseases (ICD henceforth, which is the code schema for EMR) code based on the narrative text of EMR document. For the task, we propose an automatic feature extraction method by means of capturing semantic relational tuples. We proved the semantic relational tuple is able to capture information at semantic level and it contribute to ICD-9 classification task in two aspects, negation identification and feature generation.

Building A Multilingual Test Collection for Metadata Records

Jiangping Chen1, Min Namgoong1, Brenda Reyes1, Gaohui Cao2, Xinyue Wang1

1University of North Texas, United States of America; 2Central China Normal University

This paper describes the principles and processes of building a test collection that enables multilingual information retrieval for digital metadata records. The collection includes a multilingual collection of 1,005,752 metadata records, their Chinese and Spanish machine translation results, 45 topics generated through crowd- sourcing, and their relevant judgments.

Number of Online Sources for Factual Health Information Seeking – The Influences of Individual Differences

Yalin Sun1, Yan Zhang1, Yeolib Kim2

1School of Information, the University of Texas at Austin, 1616 Guadalupe St. Austin, TX 78701, United States; 2School of Business Administration, Ulsan National Institute of Science and Technology, 50 UNIST-gil, Ulsan, 44919, South Korea

The diversity of online information sources gives health consumers more options when seeking for health-related information; however, the quality of the information from different sources varies. Considering the significance of online health information in people’s health care decision-making, it is important to investigate people’s source selection behavior to offer insights for the design of better health information services. In this study, we examined the relationship between individual characteristics and the number of online sources people select for seeking factual health information using the survey method. The results show that people with more source experience, lower education, and being White were associated with higher likelihood to select more sources for factual health information.

Analyzing scientific user tagging behavior on academic blogs according to tag’s content characteristics - a preliminary study

Yingyi Zhang1, Chengzhi Zhang1,2, Guo Chen1, Shutian Ma1

1Nanjing University of Science and Technology, China, People's Republic of; 2Jiangsu Key Laboratory of Data Engineering and Knowledge Service (Nanjing University), Nanjing, 210094, China

With the increasing of academic blogs on network, tags start to play an important role in academic blogs organizing. Researches about tagging behavior on academic resource are few. In order to prompt user to annotate tags, tagging behavior of users need to be understood to help tagging system satisfy users’ needs. However, different user types may have different tagging behavior. This poster devoted to analyze tags’ content characteristic vary various user types. There are two issues relate to this study: 1) How can we measure tags’ content characteristic? 2) Does tags’ content characteristic changes across different academic blog user types? To assess tags’ content characteristic, we introduce the conception of topical and non-topical tag. Our experimental results show that tags’ content characteristic is different among academic users' professional type and tagging frequency.

Ethos, Pathos and Logos — a Typology for Analyzing Tweeting Comments in Scholarly Articles

Glorea Charland1, Hong Huang1, Yongji Li2, Yueping Li3

1University of South Florida, United States of America; 2Sun Yet-sen University, Guangzhou, China; 3Shenzhen Polytechnic, Shenzhen, China

As increased efforts are being placed on understanding the role of using Twitter in the dissemination of information by scholars. The study is to understand scholars’ tweet and retweet behaviors for tweeting their publication. Research was conducted to evaluate this from the following perspectives: influenced by user rhetoric. Twitter comments were characterized by the typologies contained within tweets and retweets using the three modes of persuasion commonly used in public speaking: Ethos, Pathos, and Logos. The findings indicate that Twitter provides a vehicle by which to accelerate sharing information of interest by the use of particular rhetoric types. Tweeted comments overall favor the persuasive style as Ethos and Pathos, but less use for Logo. Added commentary was not found as intended to initiate and sustain conversation, but was used as a means by which to draw the attention of larger audiences to facilitate information sharing.

Social media and autism support: Investigation on autism support groups on Facebook

Yuehua Zhao, Jin Zhang, Yanyan Wang

School of Information Studies, University of Wisconsin Milwaukee, United States of America

Given the fast permeation of social media into the health domain, this study centers on the investigation of how users interact and communicate with each other in the autism support groups on Facebook. Based on the investigation on one of the largest autism-related group, we found that group members actively involved in the group interactions, and they preferred commenting more than liking and tagging. The group interactions such as making comments and giving “like” to other members’ group posts generated different types of social networks within the group based on group members’ activities. Influential actors emerged from the interaction networks. The findings identified that the group administrator occupied the genuine dominator position from different perspectives (in-degree, out-degree, and betweenness centrality). In addition, sentiment analysis discovered that group members expressed more positive emotions than negative emotions through the group communications.

Better Together? A Scoping Review of Integrating Knowledge Mapping Tools in Teaching and Learning

Hsia-Ching Chang1, Chen-Ya Wang2, Yuan Zhang1

1University of North Texas, United States of America; 2National Open University, Taiwan

With rapid advances in learning technology, knowledge mapping tools have been claimed to facilitate teaching and have positive impact on learning. However, an important issue that has not been extensively investigated is the potential integrative uses of knowledge mapping tools. This study aims to explore the intersections of three major mapping tools: concept maps, argument maps, and topic maps. This scoping review provides researchers with an exploratory opportunity to conduct a preliminary mapping of existing literature. Selected papers were examined for their findings and suggestions regarding how different mapping tools can be used to complement each other. This scoping review may offer insights into the integrative applications of three knowledge mapping tools. We hope that these preliminary results across disciplines may serve for discussion basis to inform future studies in knowledge mapping tools and teaching.

Understanding ESL Adults’ Decisions in Mobile Communication Apps: Towards the Development of an Inclusive App

Virginia Randall1,7, Ahmed Abdirahaman2,7, Alexis Ho-Liu3,7, Diane Lopez4,7, Carlo Sugatan5,7, Cristina Bahm6,7

1Vanderbilt University; 2Carleton College; 3Syracuse University; 4Texas A&M University-San Antonio; 5University of Guam; 6La Roche College, United States of America; 7iSchool Inclusion Institute (i3)

Individuals in the English as a Second Language (ESL) immigrant community are one of the many affected by the “digital divide.” However, the prevalence of mobile technology has helped bridge this gap. It has been found that decision support systems can be used to connect to ESL immigrant adults’ information needs. Mobile application usability and design can also provide information in how users approach certain mobile applications. By exploring these relationships between decision support systems and usability of application design, this poster can help inform application developers with best practices in design and potentially work towards an inclusive communication application.

Social Creation of Hierarchical Taxonomy from Topic Tags: An Analysis of User Participation in Forming Zhihu’s Topic Hierarchy

Yuyu Yang, Pengyi Zhang

Peking University, People's Republic of China

This poster aims to understand the unintentional collective actions of creating a knowledge structure by a large amount of users in forming Zhihu’s topic hierarchy. We analyzed 80,927 topic-editing logs of 10,055 topics under the top-level topic “discipline”. The results show that: 1) there are 17 levels of hierarchical relationships ,in which levels 5-9 receives the most activity in general; 2) user edits follow a power-law distribution, which implies only a few users play a key role in creating topic structure; 3) there are more concept edits at the beginning and more relationship edits as the structure develops; 4) Most of the topic relationships (68.1%) of Zhihu structure haven’t been questioned or revised but once they were questioned, they were mostly likely to be removed from the topic structure. These results provide the first insights into the social participation in creating of a hierarchical taxonomy from topic tags.

Bottom-up ontology building for domains without existing standards

Steven Siu Fung Chong, Thomas Rodenhausen, Dongfang Xu, Hong Cui, Bryan Heidorn

University of Arizona, United States of America

Phenotypes are physical characteristics of organisms and are expressed with entities and qualities. Phenotypic characters are important for describing species, studying organismal function and understanding organismal evolution. However, existing phenotype descriptions are not amenable to computation and terms should be mapped to ontologies to disambiguate similar and dissimilar concepts. We discuss issues we encountered when building an ontology with a bottom-up approach. We also describe an upcoming user study to compare expert user performance on existing ontology building software with another system enhanced with features informed by our prior work. By combining a bottom-up ontology building approach with user studies guiding the design of low-barrier ontology building environments, ontology construction will become easier for domain experts and will encourage additional participation in the process, leading to more complete ontologies and greater use of ontologies when managing their own data.

Leveraging Social Media to Generate Narrative for Virtual Patient Simulations

Jonathan E. Velez1,2, Taylor M. Neal1,3, Dmitriy Babichenko1, Rae-Djamaal Wallace4, James McCray4, Sean C. Jenkins5, Adayshia Haddock6, Akisha Jordan7

1University of Pittsburgh School of Information Sciences, United States of America; 2University of Central Florida, United States of America; 3Rice University, United States of America; 4Virginia Tech, United States of America; 5Tennessee State University, United States of America; 6Spelman College, United States of America; 7Fort Valley State University, United States of America

This work describes the research and development of semi-automated, user-supervised narrative generation for virtual patient (VP) simulators. We outline the system architecture required of such a system, and propose leveraging data from the health-related content of social networking websites (specifically, Facebook, PatientsLikeMe, and Inspire), in addition to electronic medical record (EMR) datasets. Our research focuses on four key areas as we work toward finalizing our system design: 1) Exploring the utilization of the Open Biomedical Ontologies and other natural language processing tools to facilitate concept identification, synonym generation, and knowledge base construction; 2) Designing templates that structure the presentation of narrative content according to author-selected parameters that serve as queries into the knowledge base; 3) Comparing various user interfaces to best support the author’s interaction with the plot graph and the logical design of narrative cases; 4) Piloting protocol for evaluating the quality of simulation narratives and its influence on simulation fidelity.

Practice of multilingual supports: A pilot study of the top 25 circulation public libraries in the ALA

Tae Hee Lee, Hyoungjoo Park, Sukwon Lee, Inkyung Choi

University of Wisconsin Milwaukee, United States of America

The International Federation of Library Associations and Institutions (IFLA) calls for building multilingual collections to support the community as a way to meet the basic goals of service of public libraries Accordingly, public libraries recognize the importance of serving immigrants of diverse ethnic backgrounds. Due to the lack of research about multi-lingual support in public library, this study will investigate public libraries’ multilingual supports in serving diverse populations. In efforts to capture public library practices of multilingual support, we will examine the current status of multilingual support in (1) perception of multilingual support by decision makers via Collection Development Policies(CDP), (2) library practices of foreign language book collections, (3) secured access of users to library websites by language support. Studying this, we will find answers our research question; How are at the administrative, practitioner, and user ends related to one another, and can this relationship provide predictions about the availability of multi-language support?

Mining Scholarly Articles for Citation Contexts – A Pilot Study in Information Science Domain

Kyndra Rae Valencia, Kun Lu

University of Oklahoma, United States of America

Citations are widely used to measure scholarly impact, reveal knowledge structure, and facilitate information retrieval. However, works are cited for different purposes in different contexts, for example, to provide a context for the current research, to explain concepts/theories, to describe methods/techniques, and to offer a critique. Understanding citation contexts (how citations are used) helps to devise more precise uses of citations. In this pilot study, we adopted a domain-specific approach to analyze citations of the articles from a major venue in information science. A coding scheme is developed to categorize different uses of citations within the domain. Initial results show some promises. Future studies will increase the sample size and further explore automated methods, such as supervised machine learning, for this problem.

A Preliminary Study on the Effect of Time Pressure to Pedestrian Navigation Behaviors

Dan Wu, Yi Li

Wuhan University, China, People's Republic of


This paper presented a user experiment aiming to explore the effect of time pressure on pedestrian navigation behaviors in the circumstance of both outdoor and indoor navigation tasks. The experiment was conducted in the context of pedestrian navigation, with the independent variable of the time pressure and the dependent variables of behaviors like clicks, slides and zooms. It was showed as results that users without time pressure took more time to finish the task and slid more often on the screen when they looked for catering information during the outdoor navigation. Users’ behaviors had no significant differences between groups with and without time pressure when looking for an unknown location during outdoor navigation. But when users under no time pressure conducted an indoor navigation, the number of screen zooms was less. Above all, users suffering time pressure preferred to do less unnecessary screen operations and tried to quickly reach the destination. Therefore, the map system should take users’ time pressure into consideration when planning the optimal route.

Auditing a Dark Archive

Alex Olivia Kinnaman1, Michael Popham2, J. Stephen Downie1

1School of Information Sciences at the University of Illinois at Urbana-Champaign, United States of America; 2Bodleian Digital Library Systems and Services

As digital collection-building projects have become a focus for libraries in the digital age, there is a noted lack of uniformity in their method of construction. The standards for digital preservation are just recently beginning to formalize, but this only extends to completed, established projects. In a case study at the University of Oxford, the Trustworthy Repository Audit and Certification checklist is applied to the project Digital Safe to determine if existing digital auditing metrics can act as a scoping exercise for developing digital projects. Digital Safe is an incomplete dark archive, making it a unique subject to audit. This case study focused on how TRAC aligned with the goals of the project and if it highlighted new aspects of concentration. This approach to auditing an incomplete digital project is challenging because of the lack of material and cohesion of the dark archive, which could be a useful tool for those thinking about or currently developing a digital collection.

Labor in the Gig Economy: Opportunities for Information Studies

Rachel Regina Ollivierre, Lauryn Younge, Danny Robles, Daniel Carter

I3 Inclusion Institute, United States of America

The past several years have given rise to various services that hire independent contractors rather than the standard employee. This expansion of the gig economy introduces labor issues that are tied to the information systems. This poster examines the scholarly discussion surrounding labor in order to understand how information studies has engaged with labor. We conducted a literature review of ¬¬articles published by JASIST, iConference, CSCW and CHI. We found that the discussion of labor was minimal. Although there has been an increase of scholarly interest within recent years, there has been very little research pertaining to the gig economy. As the gig economy is expected to continue to expand, we suggest ways information studies might engage with new forms of labor.

Exploring the role of space for school dropouts in the free school

Hajime Naka

University of Tsukuba, Graduate School of Library, Information and Media Studies, Japan

This poster describes the preliminary findings from my initial fieldwork in school dropouts in the free school in Japan centred on a notable theme on three domains associated with their information behavior: the role of physical space in the free school, school dropouts’ information behavior, and their contextual meaning of space and their learning activities. In doing so, the researcher conducted a qualitative exploratory research mainly focusing on a hands-on fieldwork in the free school by observing school dropouts’ interaction in the room on a daily basis. So far the researcher has found that a spatio-temporal factor is associated with some school dropouts’ learning activity. This poster elaborates on the mechanism of school dropouts’ learning process associated with spatial movements in sequential order. This will help researchers, librarians, and school educators understand the characteristics of school dropouts’ learning activity and their contextual meaning of “learning”, “playing” and “consuming”.

Predictors of Online Privacy Paradox Behavior among Students

Maor Weinberger, Maayan Zhitomirsky-Geffet, Dan Bouhnik

Bar-Ilan University, Israel

In this exploratory study we investigate the attitudes and influential factors of users' tendency to online privacy paradox behavior, i.e. the inconsistency in users' online privacy attitudes and their online privacy behavior. Various factors related to online privacy and anonymity were considered, such as user's concern for the protection of personal information on the Web in general and particularly on social networks, user online privacy literacy and field of study.

To this end, a user study was carried out among 169 students of the Israeli academia, via a quantitative method using closed-ended questionnaires. The multivariate linear regression analysis showed that Computer Science and Information science students had a significantly lower tendency to privacy paradox behavior compared to students who study Accounting and business management. In addition, as the participants' concern for the protection of personal information on the Web increases, their tendency to privacy paradox behavior decreases.

Exploring the Role of Social Media in the Information Seeking Behavior of Millennials in Search of Safe Sex and Sexual Health Information

Jasmine Rodriguez, Jarime Chaco, Caroline Contreras, Darryl Ramgoolam

iSchool Inclusion Institute (i3) of Information Sciences, United States of America

The purpose of this research is to explore millennials’ preferences when seeking safe sex (SS) and sexual health information (SHI) and whether or not this population views social media sites as preferred sources. Understanding the information preferences of millennials in this context can help educators better disseminate accurate and timely information. This study consisted of an online survey (n=82) which revealed that millennials are not using social media for SS and SHI, primarily due to concerns of accuracy. The survey did reveal that even though millennials believe medical professionals and schools are the best source for acquiring SHI, a majority of respondents (63%) indicated that they use internet websites as their primary source of information. Our research is meant to provide dialogue and background information for future research.

Contrasts in Climate Change Attitudes and STEM Dispositions Among Children versus Adults Attending a Science and Technology Exposition

Gerald Knezek1, Rhonda Christensen2

1The University of North Texas, United States of America; 2The Institute for the Integration of Technology into Teaching and Learning

Children and adults attending a thee-day Science and Technology Exposition in Washington D.C., during April 2016 completed Climate Change Attitude Surveys and STEM Semantic Differential Surveys while visiting a booth featuring hands on demonstrations of testing various household appliances for consumption of standby power. Demos were conducted by middle school teachers from three states in the USA as part of a four-year Innovative Technology Experiences for Students and Teachers (ITEST) project, funded by grant #1312168 from the U.S. National Science Foundation (NSF). Findings were that adults overall were more positive than children but significantly higher than children only on the individual measures related to climate change. Overall the profiles of adults and children were similar. The authors conjecture this is due to the participants choosing to attend the expo event.

Automatic Citation Function Analysis with Rich Linguistic Features

Rui Meng1, Wei Lu2, Shuguang Han1, Yu Chi1

1School of Information Sciences, University of Pittsburgh, United States of America; 2School of Information Management, Wuhan University, China

Researchers cite for different purposes – some for laying study background while some others for comparisons. This drives us to study the function roles for citations in academic publications. Although existing research has made many attempts to develop automated algorithm for large-scale analysis, continuous performance improvement is still helpful, which is the focus of this poster. We observe that the linguistic features for the citing content (the surrounding content when citing) are important to determine such role while it is often overlooked in other studies. Therefore, we are interested in understanding how different linguistic features (e.g., functional words, syntactic features) can help on improving algorithm performance. Our experiments, based on an existing dataset, shows that these features can contribute to improve existing study by 20%.

Toward Understanding Causes of Anomaly in Dynamic Restaurant Rating

Lei Li1, Zhao Lu3, Danchen Zhang2, Sanqiang Zhao2, Ke Zhang2

1Nanjing University of Science and Technology, China, People's Republic of; 2University of Pittsburgh; 3East China Normal University

Rating score and text review are the most common features provided in online review systems to gather the opinions shared by users.Product rating distributions usually evolve dynamically over time and potentially accompany with some unusual changes, namely anomalies, which might be caused by product quality change or spamming attacks. In this preliminary study, we analyze the time-series of rating score distributions by using the data collected from Yelp restaurants, and we apply Principal Component Analysis (PCA) to detect anomalous time points. Through manually checking the corresponding review texts, we further investigate the underlying reasons leading to anomalous rating scores. The potential reasons we identified include food/service quality change, user preference, and review spam. Our study is envisioned to help business owners respond timely to unusual feedbacks and manage their business more efficiently.

Adoption of Linked Data Technologies in Libraries: Pakistani Information Professionals’ Viewpoint

Nosheen Fatima Warraich1, Abebe Rorissa2

1University of the Punjab, Lahore-Pakistan, Pakistan; 2State University of New York (SUNY) at Albany, NY-USA

This study aims to explore the information professionals’ willingness and level of interest in Linked Data application in libraries. Information professionals are instrumental in LD initiatives as they have already been organized knowledge for its effective retrieval and usage. It is significant to explore this phenomenon in developing countries context.

This work is part of a larger study that was designed to investigate perception and application of Linked Data technologies in Pakistani libraries. This is a quantitative study based on a questionnaire survey. To meet the objective of the study, a survey of academic library information professionals was created and distributed online. It found that information professionals are highly interested and willing to explore Linked Data technologies in their institutes. Survey respondents are certainly curious to know more about the application of LD on bibliographic records and willing to explore ways to incorporate Linked Data standards in bibliographic records management’ at their own libraries.

Discovering and Visualizing the Structure and Patterns of the Global Phenomena of Big Data Research Collaborations

Yin Zhang1, Jiming Hu2

1Kent State University, United States of America; 2Wuhan University, Wuhan, China

The purpose of this poster is to reveal and visualize the structure and patterns of collaborations in Big Data research through applying various social network analysis and geographical visualization methods and tools. Results show that Big Data research tends to be collaborative, and there is a global network in research collaborations. Leading countries and major collaborative networks in Big Data research are identified and illustrated. The visualizations show nations advanced in Big Data research are centralized in North America, Europe, and Asia-Pacific, but the overall distribution is unbalanced.

Learning Semantic Representation from Restaurant Reviews: A Study of Yelp Dataset

Sanqiang Zhao, Shuguang Han, Rui Meng, Daqing He, Danchen Zhang

University of Pittsburgh

Users' preference such as rating only provides uni-dimension information, but reasons behind users' preference may be related to various aspects of an item, such as the types, certain attributes. By observing user-generated review always provides such rich information, we proposed an item representation based on review data. This approach supports semantic operation, which could potentially enables more recommendation scenarios. Our experiments further demonstrated that this approach gained much better performance than classical item representation methods.

A Twitter-based Recommendation System for MOOCs based on Spatiotemporal Event Detection

Yuanyuan Wang1, Naoki Maruyama2, Goki Yasui2, Yukiko Kawai2, Toyokazu Akiyama2

1Yamaguchi University, Japan; 2Kyoto Sangyo University, Japan

Nowadays, students utilize MOOCs and SNS in courses for learning. This paper presents a Twitter-based recommendation system to search and communication, and it is associated with a web page by detecting spatiotemporal events such as opinions, questions, or impressions about courses on Twitter. Through it, users can grasp popular courses or avoid crowded courses referring to time periods while they browse any web pages. Moreover, the system also enables users to communicate with others browsing the similar pages or users' locations about the similar pages. For this, the system extracts relevance between different pages by detecting tweets of each page in each time period with machine learning algorithms and the number of unique Twitter users. Thus, the system presents a ranking of recommended pages, a tag cloud of tweets and a list of tweets which are related to recommended pages to help users obtain the latest information about recommended pages. In this paper, we propose that students utilize the system to enhance interaction among and with others in actual classrooms.

Toward Social Justice and Right of Access Information in Rural Libraries

Yunfei Du

University of North Texas, United States of America

This paper reviews the concepts of social justice in information services for disadvantaged populations. Cases related to information literacy training in rural areas were discussed. People who shy away from using digital and handheld devices are excluded today’s digital society. The solution to bridge digital divide seems to be the frame work of digital inclusion and digital literacy training. Social justice is a practical tool to promote right of access information to all users in digital society.

Discover citation topic distribution patterns of highly cited papers

Wu Sizhu1, Ding Ying2, Xu Jian3

1Institute of Medical Information (IMI) , Chinese Academy of Medical Sciences, China, People's Republic of; 2Indiana University; 3Sun Yat-Sen University

Highly cited researches represent most influential scientific minds in the world that are highly regarded by many researchers. “Dwarfs standing on the shoulders of giants”, but where the giants are standing on remains unclear. In this study, we have selected 468787 research publications in computer science in ArnetMiner and analyzed the citation topic distribution to observe how and to what extent prior work is combined. We have found that there is a novelty and conventionality combination in different impact papers at reference topic level, but their features are distinct. Our result shows that highly cited papers have more novel combination than middle and lowly cited papers relatively in reference topic pairs and there is a remarkable variation range for this phenomenon.

Seeking Information through Weak Ties on Social Media

Yanyan Wang, Yuehua Zhao

University of Wisconsin-Milwaukee, United States of America

The importance of social media keeps increasing in people’s daily life. Users not only generate information, but also seek information on social media. Another function of social media is to allow users create and maintain their social connections. These connections provide a new way for users to seek information. This study aims to explore users’ information seeking behavior through weak ties on social media. Questionnaire, modified log analysis, and interview were employed to collect data. The grounded theory method was utilized in data analysis. The findings reveal that users usually seek information about daily life, entertainment, society, and technologies through weak ties. Both internal and external factors motivate user behaviors. Browsing and specific information search are the two prominent ways for information seeking. Based on the findings researchers can gain insight into users’ information seeking behavior, and optimize the information search functions on social media in the future.

Theory Use in Library and Information Science Publications :A case in Taiwan 2010 – 2015

Mei Mei Wu, Hong-Shiu Liang, Shun-Hong Sie, Tsung-Yeh Lee

NTNU, Taiwan, Republic of China

This study analyzed 341 research articles in five core LIS journals published between 2010 and 2015 in Taiwan. The purposes of which are to identify the status of theory use in LIS field in Taiwan and to relate it to the global situation. Content analysis was applied, and the analytical framework adopted from previous researchers, including Pettigrew & McKechnie, 2001, Jeong & Kim, 2005, was developed. The preliminary findings include first author status, co-authorship situation, types of articles, subject distribution, and level of theory use. A comparison and contrast between local and global LIS development in terms of the level of theory use will be discussed.

Examining the Role of Cognitive Maps and Familiarity in Wayfinding Over Time

Maryam Hedayati1,7, Aderin Falana2,7, Cristina Bahm3,7, Trishia Domingo4,7, Nekia Hampton5,7, Ruth Maurat6,7

1Carleton College; 2University of Pittsburgh; 3La Roche College, United States of America; 4University of Maryland Baltimore County; 5University of Baltimore; 6Florida International University; 7iSchool Inclusion Institute (i3)

This project presents preliminary results on the examination of cognitive maps and familiarity in terms of wayfinding. A user study is presented where 22 participants gave 11 verbal wayfinding descriptions from several landmarks at the University of Pittsburgh. The general premise being that participants who had been at the university for more years would produce different wayfinding descriptions, thus portraying different cognitive maps. The data was then analyzed in three ways, all taking into account the number of years the participant had been at the university. Preliminary results show that participants who had been at the university longer attempted more route descriptions and were more accurate in their descriptions. There was also a slight trend towards using more words in their route descriptions, although this was not statistically significant. Future work should focus on route descriptions using graphical modeling methods and a different premise to define familiarity.

Challenges and Usefulness of Personal Information Management Practices among Academicians in Pakistan

Shazia Yasmeen1, Nosheen Fatima Warraich2

1University of Engineering and Technology, Lahore-Pakistan; 2University of the Punjab, Lahore-Pakistan, Pakistan

Personal information management (PIM) is concerned with how people organize and support personal information collections, and methods that can help them in doing so. The purpose of this study is to explore the challenges and usefulness of personal information management practices of academicians at University of Engineering and Technology, Lahore. It is a part of larger project that aims to look at the behavior of engineering faculty members about managing personal digital information.

The study underway is a quantitative study based on literature review and a questionnaire survey. There are 300 faculty members working in 24 departments and the entire population is the part of this survey. Findings show that personal information management saves their time, money and energy y. It is also helpful in their teaching and learning along with some challenges. The results of study will provide useful information to improve the PIM practices. It will also help teachers to work more effectively and efficiently and to deal with information overload.

Topics Discussed on Twitter at the Beginning of the 2014 Ebola Epidemic in United States

Wasim Ahmed, Gianluca Demartini, Peter Bath

University of Sheffield, United Kingdom

Health epidemics typically generate bursts of attention on social media. Considering a recent outbreak, we conducted evidence-based research which examines the information that was shared on Twitter on the 30th of September of 2014, when the first infection of Ebola outside of West Africa was diagnosed. The aim of this study was to retrieve data from Twitter from the 30th of September 2014 and examine the topics discussed relating to this specific outbreak. With regards to methods, we retrieved data via the Firehose API, sampled tweets, performed two phases of content analysis, and generated an inter-coder reliability statistic. We found that the most frequent tweets were based on Ebola news, updates, or information, and personal opinions and interest related to Ebola. When investigating tweets that were not resource-related or spam-based we found that some users were expressing humour and sarcasm towards the Ebola outbreak.

Deriving Dynamic Knowledge from Academic Social Tagging Data: A Novel Research Direction

Hang Dong1,2, Wei Wang1, Frans Coenen2

1University of Liverpool; 2Xi'an Jiaotong-Liverpool University

Academic social tagging is an important activity in the age of Web 2.0 (and Science 2.0) whereby researchers collaborate online to organize academic resources. Compared to general social tagging, academic social tagging has a more complex nature in terms of semantics and sparsity of the data. It is worth exploring the knowledge structure hidden in the academic social tags and to see how they reflect the evolution of scientific knowledge. This poster presents a research direction comprised of four phases: (i) data cleaning, (ii) concept extraction, (iii) relation learning and (iv) knowledge evolution of academic social tags. For the data cleaning phase, a workflow is presented and evaluated using the Bibsonomy dataset. Future studies will focus on cluster-based outlier detection and topic modeling to extract concepts and derive relations from academic social tags; chronological analysis will be conducted to discover the dynamics of knowledge structure reflected in academic social tags.

Towards Incorporating Derived Features In Dataset Alignment And Linking

Catherine Renee Blauvelt1, David M. Weigl2, J. Stephen Downie1, Kevin R. Page2

1University of Illinois at Urbana-Champaign; 2Oxford e-Research Centre, University of Oxford

The Semantic Alignment and Linking Tool (SALT) enables scholars and domain experts to establish connections between complementary datasets describing entities such as people, works, or performances, by generating alignment candidates based on contextual cues from shared bibliographic metadata. Here, we present a redesigned user interface for SALT to address usability concerns identified during a user evaluation, and extend it to incorporate computational features as additional semantic context. These derived features quantify specific aspects of information resources such as musical recordings and textual documents, mathematically characterizing, e.g., the musical keys represented in an audio signal, or the token, line, and page counts within a text. Such metadata describing aspects of the content of information resources provide valuable additional cues, alongside bibliographic facets, to the expert user undertaking the alignment task.

Governments’ Role in the Information Flow of International Trade: Under the Big Data Era

Di Wang

School of Information Management, Wuhan University, China, People's Republic of

The emergence of the big data era has caused imbalanced usage of information technology in different kinds of companies. Export manufacturer seem to be the one with less benefit from the big data era compared with e-commerce companies. In order to find possible methods for improving the information exchange efficiency, the author investigated into the information flow of international trade in different manufacturers in China, and noticed the decisive role of governments in the whole progress. After analyzing its role as the process participant, the information supplier and the rule maker, the author concluded the future development of the government’s information service for international trade in China.

Cyberbullying and School Librarians in YouTube

Li-Min Huang

University of Tennessee, Knoxville, United States of America

The aim of this study is using content analysis to: (1) examine how cyberbullying is addressed in YouTube videos in school settings; (2) identify the core messages of the videos to infer the roles of school librarians in addressing cyberbullying.

Preliminary findings on 40 YouTube videos show that most videos successfully indicated cyberbullying behaviors, impact on victims’ emotions and appropriate measures toward cyberbullying, but less have addressed the reasons people became bullies, and the self-protected strategies. The involvement of libraries/librarians is rarely mentioned in the videos. Further detail descriptive statistics and narrative analysis will be provided in the next step.

This study may provide an overview of how school cyberbullying is told in YouTube, and have suggestions on applying videos to school cyberbullying instruction. Also, the possibility of librarians’ involvement in school cyberbullying is expected to be added to the field of library and information as a new insight.

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