bluuebunny/crossref_metadata_2025_split huggingface dataset:
The application of weighted co‐occurring keywords time gram in academic research temporal sequence discovery
Authors: Li Shuqing , Sun Ying 
Published: May 2014

AbstractThe discovery and visualization of temporal sequence of personalized academic research can enhance the ability for discovering the latent trend of interests to information seekers. In this paper, we propose a definition of weighted co‐occurring keywords time gram and use it as a basic unit to analyze the temporal information in existed keywords collection. We further propose a method to get the temporal sequence and temporal network based on these time grams. An application of the proposed method in discovering academic research temporal sequence is discussed, which includes techniques for acquiring extended keywords, assigning weight to each keyword and co‐occurring weight to each keyword pair. A visualization tool is designed for browsing the temporal networks identified. Finally, we report an experiment in the area of library and information studies. The experiment results show the effectiveness of the proposed method in helping users analyzing and portraying the evolution pattern and developing trend of corresponding academic research.
Adolescents' perception of illegal music downloads from the internet: An empirical investigation of Israeli high school students' moral atittude and behviour
Authors: Bouhnik Dan , Deshen Mor 
Published: May 2014

AbstractThis study examined the various aspects of adolescents downloading music from the Internet. As of the present time (2013), no comprehensive study has been done among Israeli adolescents with regard to music downloading from the Internet. The present study examined the correlation between adolescents' moral attitude towards music downloading and the extent of their actual engagement in the activity. We found that more than 80% of the participants are involved in illegal music downloading, while gender, age, religiosity, Internet experience and average daily Internet use influence the frequency of downloading. We found that those who adhere to religious practices tend to illegally download less often than others. Long hours of internet surfing and rich internet experience raise the tendency to illegally download music. Age and gender were found to have only a minimal affect, if any, on the phenomenon. This behavior is explained in various manners, including the perception of the act (by the adolescents) as one that is accepted by society. Furthermore, the chance of getting caught and suffering any consequences is minimal, thus the deterrent hardly exists.
Measuring the value of library content collections
Authors: Coughlin Daniel M. , Campbell Mark C. , Jansen Bernard J. 
Published: May 2014

AbstractThis research uses the methodology of web analytics to examine the usage of subscription databases at a major academic library. Our research goal is the development of key performance indicators from which academic libraries can evaluate the business value of their content collections. There are 1,447 databases to which this academic library provides access, and these databases received nearly 2.5 million customer visits in 2012 via the library's meta‐search application, which is used for searching these databases. As such, these visits represent a substantial subset of the total traffic to the university's academic databases. The first level analysis shows that the top 20 most used databases represent over half the traffic to these academic databases. The second level analysis compared these heavily used databases (20) categorizing them by provider, and quantifying them with the remaining databases (428) from these providers. These results show the inequality of traffic generated by the top databases relative to the remaining databases from these providers in the context of search. The implications of this inequality illustrate the extreme usefulness of select databases and the possibility of the dispensability of less popular databases. The third level of analysis is a temporal evaluation of demand of databases over the course of two semesters (spring and fall 2012). This evaluation displayed the lack of increased demand throughout a semester beyond the top 300 databases. We used this analysis as the beginnings of the formulation of a set of web analytic metrics tailored for academic libraries.
Young people's engagement in content creation an analysis of outliers
Authors: Waugh Amanda , Taylor Natalie Greene , Subramaniam Mega , Ahn June , Drain Allison , Fleischmann Kenneth R. 
Published: May 2014

AbstractAs online communities become more important in young people's lives, it is important to consider who the active users are in these digital environments. Previous research has looked at the way leaders emerge in adult communities, but scholarship on young people's participation patterns has been less robust. This paper looks at the phenomenon of “super‐users” or the leaders and vocal participants, in a specific online community populated by eleven and twelve year olds (tweens) and run out of an after‐school program at two urban middle‐school libraries. We ask why these particular young people participate more than their peers and identify these users' characteristics. We also look at the relationships between these characteristics and the young people's use of the site. Answers to these questions help us understand why some tweens' participate more than others and could help facilitate how to better engage all users.
ASIS&T 2013: From competitive intelligence as astate of mindto information transculture
Authors: Mallowan Monica , Marcon Christian 
Published: May 2014

AbstractThe current study proceeds from a transdisciplinary, ecological and systemic angle as it undertakes to interrogate the information skills of users who are uninitiated and untrained to a competitive intelligence model (and specifically, to the French model, which proposes a more generic and all‐encompassing approach than other models). In addition to outlining a framework for assessing theseinformactors'performance within the context of the informational act, this paper proposes new definitions for the terms “strategic information” and “information intelligence”, as a ways to further investigate the pioneering concept of “information transculture” – a concept which stems from the confluence of various generic approaches to information literacy and which is set forth here for the first time.
Disaster planning for digital repositories
Authors: Frank Rebecca D. , Yakel Elizabeth 
Published: May 2014

AbstractThis study examines how digital repositories with a preservation mandate are engaging in disaster planning, particularly in relation to their pursuit of trusted digital repository status. For those that are engaging in disaster planning, the study examines the creation of formal disaster response and recovery plans. Findings indicate that the process of going through an audit for certification as a trusted repository provides the incentive needed for the creation of formalized disaster planning documentation, and that repositories struggle with making their documentation available. This study also finds several significant obstacles with regard to the creation of formal disaster planning documentation, including the efforts required to get buy‐in from different functional areas within the organization, difficulty collaborating with the IT department, and the amount of time required for completion of the documentation.
Understanding factors influencing the effect of scientific collaboration on productivity in a developing country: Kenya
Authors: Muriithi Petronilla , Horner David , Pemberton Lyn 
Published: May 2014

AbstractIncreased productivity has been cited as one of the benefits of scientific collaboration. While some studies have identified a positive relationship between collaboration and publication productivity, others have found a negative or no clear relationship between the two. A number of factors determine the relationship established, ranging from the context under which research is carried out that shapes the scientists' collaboration and productivity behaviors and practices, to the methods and measures used. Few studies have examined the factors underlying the said relationship, more so in studies of developing areas. In this article we present the empirical findings of a study seeking to establish the relationship between collaboration and productivity of academic scientists in Kenya, including factors determining the established relationship. The study uses mixed methods research design employing self reported measures of collaboration and productivity. The study establishes a significant, though weak relationship between collaboration and publication productivity for academic scientists in Kenyan Universities. We find that factors affecting level of collaboration, including disciplinary area, academic qualification, and the national and institutional context within which research is done have an effect on productivity of academic scientists. The results presented serve to enhance our understanding of factors determining scientist's productivity, and methods best suited to investigate collaboration and productivity in developing areas.
Knowledge management using social media: A comparative study between blogs and Facebook
Authors: Chan Randolph Chun Ho , Chu Samuel Kai Wah , Lee Celina Wing Yi , Chan Bob Kim To , Leung Chun Kit 
Published: May 2014

AbstractBlogging and Facebook have gained increasing recognition as tools to support online information sharing and management. This study examined if, and in which aspects, blogs and Facebook scaffold and/or consolidate student users' knowledge capture, sharing and application during their internship. A mixed‐methods design was employed to investigate users' practices and perceptions of blogs and Facebook in online information management. The study found that users generally hold positive perception on using blogs and Facebook for online knowledge management. In particular, Facebook appears to be a more facilitating platform for users to reflect upon prior knowledge, capture new experiences and provide feedback that is constructive to cultivating knowledge sharing environment. It was found that Facebook support the expression of social support among users, thereby reinforcing their motivation in participating in knowledge management processes.
Data mining for “big archives” analysis: A case study
Authors: Esteva Maria , Tang Jeffrey Felix , Xu Weijia , Padmanabhan Karthik Anantha 
Published: May 2014

AbstractWe present a case of archival analysis using a combination of data mining methods. The team of researchers, composed by archivists and computer scientists, used a collection of declassified Department of State Cables as a case study. The methods implemented included Support Vector Machine (SVM) and Association Rule Mining. Combined in an analysis workflow, the results of the different methods allowed the team to identify the different security classes, understand how they changed over time and generate descriptions for the cables in each class. The interpretation of results also allowed understanding contextual aspects of the collection. Until now, the use of data mining for archival analysis and processing has not been thoroughly explored by the archival community. This study constitutes a seminal roadmap to understand how to apply, interpret and integrate data mining with the archivists experience and judgment in collaboration with computer scientists. It proposes an inductive approach to archives analysis and the possibility of verifying processing decisions.
Searcher actions and strategies in asynchronous collaborative search
Authors: Capra Robert , Chen Annie T. , McArthur Evonne , Davis Natalie 
Published: May 2014

AbstractIn this paper, we present results of a laboratory study in which participants completed an asynchronous collaborative search task while thinking aloud. Based on analysis of the think‐aloud data and screen recordings, we present a set of collaborative search actions and rationales that our participants employed. For each, we describe the purpose and motivations, and give illustrative examples. We also present three high‐level strategies (independent, parallel, and divergent) that emerged from analysis of participants' verbalizations and discuss how participants used these strategies as part of their overall search process. Our results show that collaborators' prior work influenced search strategies and behaviors, and that participants leveraged collaborators' work at various stages of the interaction including query formulation and results examination. We discuss how the observed behaviors complement existing models of interactive information seeking and suggest ways to extend current models.
Professional e‐government seeking behavior
Authors: Svarre Tanja , Lykke Marianne 
Published: May 2014

AbstractThe present paper is concerned with professional e‐government seeking behavior. With the digitalization of governments, expectations have been raised with regard to changes in the composition of employee work tasks. The purpose of our study is to determine whether these changes affect seeking behavior and if so how they change it. We focus on the status of current seeking behavior in a Danish government administration. The results showed that information needs are commonly verificative and consciously topical and that information seeking most often takes the form of mere “look‐ups.” Employees experience many search problems, such as the lack of specificity, differences in the interpretation of the topics of documents, and unwieldy and irrelevant search results. These problems can be solved by a combination of improved indexing practices and search features.
Killer serials: Did electronic journals really destroy the university press?
Authors: Jones Elisabeth A. , Courant Paul N. 
Published: May 2014

AbstractGiven the rapidly changing economics of scholarly communication in the digital age, the importance of accurate, specific data on the resource flows within this realm has become increasingly important. Both the producers and the collectors of scholarly information require accurate information in order to nimbly navigate their changing roles in advancing the progress of knowledge. Two key actors in this area are university presses and academic libraries, which both hold keystone roles in scholarly communications, as disseminators and conservators of scholarship, respectively. This paper describes an exploratory study examining one contentious aspect of the relationship between these two actors: trends in purchases of university press books by academic libraries. It does so in order to provide an empirical basis for evaluating frequent claims by publishers that declines in libraries' monographic purchasing over the past three decades can be held primarily responsible for the declining economic fortunes of university presses over the same period. The results of this analysis indicate that this relationship is not clear‐cut, for at least two reasons: first, to the extent that purchasing reductions have occurred, they have occurred much more recently than prior accounts have suggested, and second, purchasing trends vary significantly between different libraries and between different sizes of university press.
Automated citation sentiment analysis: What can we learn from biomedical researchers
Authors: Yu Bei 
Published: May 2014

AbstractAutomated citation sentiment analysis is a newly emerged research topic inspired by traditional citation context analysis in scientometrics and applied linguistics. The main goals of current citation sentiment analysis are to develop new tools to model scientific literature and provide authoring support for researchers in tasks like literature review. In terms of developing authoring support tools, however, current studies have not taken into consideration the behavioral patterns of researchers' literature review practice, leaving user need assessment as a missing piece in current interdisciplinary research effort. This paper analyzed biomedical researchers' need by reviewing their publications on using manual citation sentiment analysis for detecting citation bias, and discussed the differences between biomedical researchers' approach and current automated citation sentiment analysis model. These differences are expected to inform the modeling of automated citation sentiment analysis.
Finding information in books: Characteristics of full‐text searches in a collection of 10 million books
Authors: Willis Craig , Efron Miles 
Published: May 2014

AbstractSearching large collections of digitized books is a relatively new area in information‐seeking and retrieval research, made possible by initiatives such as Google Books and the HathiTrust Digital Library. The availability of large full‐text book collections is transforming how users search and interact with information in books, but the characteristics of these changes are unknown. This paper aims to provide insight into the characteristics of full‐text searches in a large collection of digitized books and is the first step in a broader research agenda intended to improve book retrieval. To better understand the types of queries that users are issuing to full‐text‐book collections, we analyzed a full year of anonymized query logs from the HathiTrust Digital Library full‐text search engine. We also manually classified a random sample of 600 queries to develop a taxonomy of book search query types. We found that users are beginning to search for information in books instead of searching for books. Searches still largely follow bibliographic models, but, as expected, new types of searches are beginning to take advantage of full‐text capabilities. Additionally, comparing the results of our query log analysis to searches in other domains, we found similar search patterns including short queries, sessions with only a few queries, and users viewing only a few pages of results per query. We discuss how these findings can be used to characterize users of large full‐text book collections.
Comparing google's readability of search results to the flesch readability formulae: A preliminary analysis on children's search queries
Authors: Bilal Dania 
Published: May 2014

AbstractResults retrieved by Google on fifteen search queries formulated by middle school children were examined for readability based on Google Reading Level filter (Basic, Intermediate, Advanced). Three hundred retrieved results (links, snippets, and corresponding Web page texts) were analyzed for readability. Google's assigned reading levels were aggregated at the query level and across the queries and averaged using percentages. The readability scores and grade levels calculated for these results using the Flesch Reading Ease and Flesch‐Kincaid Grade Level were averaged at the query level and across the queries and compared to Google's reading levels. On most queries, a mismatch between Google's assigned reading levels and the Flesch scores/grade levels was found. The Flesch formulae predicted that a high number of results Google retrieved on the queries were Fairly Difficult, Difficult, or Very Confusing to children in middle grades. A fair number of results Google retrieved did not have assigned reading levels. Implications are made for Google's reading algorithm, as well as for teachers, parents, and school librarians in guiding children's use of Google.
NLP tools as editorial aids
Authors: Sanentz Shahé Navasart 
Published: May 2014

AbstractThis poster introduces the novel idea of using Natural Language Processing (NLP) tools on unpublished articles, thereby alerting writers and editors to the potential problems that these articles may pose to NLP tools, postpublication, and offering them the option to nip such problems in the bud. To demonstrate the feasibility of this approach, the poster takes on the NLP tool Wikify! and uses it in the aforementioned manner, introduces an automated feature that might be deployed alongside it using WordNet and analyzes the results thus generated.
“10 Points for the best answer!” – Baiting for explicating knowledge contributions within online Q&A
Authors: Choi Erik , Kitzie Vanessa , Shah Chirag 
Published: May 2014

AbstractOnline question answering (Q&A) provides a popular platform for people to interact with information online, both by asking and answering questions. Although previous studies have focused on factors that motivate answerers, these studies have not considered that questions offering potential rewards to answerers might provide extrinsic motivation to answer it. In the current study, we collected 25,878 resolved (i.e. one of the answers received a “Best Answer” rating from the asker) questions from Yahoo! Answers. Half contained an explicit offer to reward points, (i.e. “10 points for the best answer!”) in the question subject and/or content (n=12,939) and half did not (n=12,939). Findings indicate that although questions without explicit offers received more answers on average, questions with explicit offers to reward points received a “Best Answer” rating by the asker approximately five times faster than the ones without an expression. This suggests that an explicit offer to reward ten points within a question affects the resultant on the quality of the answers provided within online Q&A.
‘Misinformation? What of it?’ Motivations and individual differences in misinformation sharing on social media
Authors: Chen Xinran , Sin Sei‐Ching Joanna 
Published: May 2014

AbstractMisinformation is common on social media. This causes misunderstanding and compromises the credibility of the medium. What motivates individuals to share inaccurate information? Are there individual differences? This study surveyed 171 university students on 16 motivations. Potential differences in motivations by gender and the Big Five personality traits were tested with multiple regression. The study found that the respondents considered truthfulness to be quite important, but over two‐thirds of them had still shared misinformation. The top motivations of misinformation sharing were: to obtain others' opinions on that information, to express own opinions, and to interact with others. Gender showed no significant differences, but personality did. Extroverts, for example, were more prone to share misinformation for socializing purpose. The findings suggest that it is beneficial to include affective and motivational factors in information behavior research. Information literacy training may also draw from the attitude change literature to deliver training that combines knowledge on information evaluation and sharing with affective messages that target individuals' motivations such as their interest in self‐expression.