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Journal Cover Online Information Review
  [SJR: 0.648]   [H-I: 37]   [163 followers]  Follow
   Hybrid Journal Hybrid journal (It can contain Open Access articles)
   ISSN (Print) 1468-4527
   Published by Emerald Homepage  [335 journals]
  • The lost academic home: institutional affiliation links in Google Scholar
    • Pages: 762 - 781
      Abstract: Online Information Review, Volume 41, Issue 6, Page 762-781, October 2017.
      Purpose Google Scholar Citations (GSC) provides an institutional affiliation link which groups together authors who belong to the same institution. The purpose of this paper is to ascertain whether this feature is able to identify and normalize all the institutions entered by the authors, and whether it is able to assign all researchers to their own institution correctly. Design/methodology/approach Systematic queries to GSC’s internal search box were performed under two different forms (institution name and institutional e-mail web domain) in September 2015. The whole Spanish academic system (82 institutions) was used as a test. Additionally, specific searches to companies (Google) and world-class universities were performed to identify and classify potential errors in the functioning of the feature. Findings Although the affiliation tool works well for most institutions, it is unable to detect all existing institutions in the database, and it is not always able to create a unique standardized entry for each institution. Additionally, it also fails to group all the authors who belong to the same institution. A wide variety of errors have been identified and classified. Research limitations/implications Even though the analyzed sample is good enough to empirically answer the research questions initially proposed, a more comprehensive study should be performed to calibrate the real volume of the errors. Practical implications The discovered affiliation link errors prevent institutions from being able to access the profiles of all their respective authors using the institutions lists offered by GSC. Additionally, it introduces a shortcoming in the navigation features of Google Scholar which may impair web user experience. Social implications Some institutions (mainly universities) are under-represented in the affiliation feature provided by GSC. This fact might jeopardize the visibility of institutions as well as the use of this feature in bibliometric or webometric analyses. Originality/value This work proves inconsistencies in the affiliation feature provided by GSC. A whole national university system is systematically analyzed and several queries have been used to reveal errors in its functioning. The completeness of the errors identified and the empirical data examined are the most exhaustive to date regarding this topic. Finally, some recommendations about how to correctly fill in the affiliation data (both for authors and institutions) and how to improve this feature are provided as well.
      Citation: Online Information Review
      PubDate: 2017-09-22T12:53:07Z
      DOI: 10.1108/OIR-10-2016-0302
  • Working with communities on social media
    • Pages: 782 - 796
      Abstract: Online Information Review, Volume 41, Issue 6, Page 782-796, October 2017.
      Purpose American police departments are beginning to implement social media as a strategy to engage the surrounding communities through various methods, including Facebook and Twitter. The purpose of this paper is to examine the varieties in the use of Facebook and Twitter by local police departments. Design/methodology/approach This study collected all data between October 1, 2013 and March 31, 2014 from Facebook and Twitter accounts of seven city police departments in the Hampton Roads area of Virginia. These agencies resemble many police departments in the USA, and in total serve a diverse population of approximately 1,435,000. Content analysis and statistical tests are conducted. Findings Results show that specific types of posts are more engaging for the community. Facebook and Twitter interactions vary depending upon the type of posts, demonstrating that citizens are using Facebook and Twitter to interact in different ways. Research limitations/implications The findings presented here give police agencies’ insight on how to appropriately adjust their use of social media to fulfill the needs of the citizens and optimize interactions with the community. Originality/value This is the first study to systematically examine and analyze the varieties in the use of social media by traditional American local police departments and their interactions with citizens.
      Citation: Online Information Review
      PubDate: 2017-09-22T12:53:23Z
      DOI: 10.1108/OIR-01-2016-0002
  • Improving information quality of Wikipedia articles with cooperative
    • Pages: 797 - 811
      Abstract: Online Information Review, Volume 41, Issue 6, Page 797-811, October 2017.
      Purpose The purpose of this paper is to investigate the impact of cooperative principle on the information quality (IQ) by making objects more relevant for consumer needs, in particular case Wikipedia articles for students. Design/methodology/approach The authors performed a quantitative study with participants being invited to complete an online survey. Each rater evaluated three selected and re-written articles from Wikipedia by four IQ dimensions (accuracy, completeness, objectivity, and representation). Grice’s maxims and submaxims were used to re-write articles and make them more relevant for student cognitive needs. The results were analyzed with statistical methods of mean, standard deviation, Cronbach’s α, and ICC (two-way random model of single measure). Findings The study demonstrates that Wikipedia articles can be made more relevant for student needs by using cooperative principle with increase in IQ and also achieving higher consistency of students’ scores as recent research. In particular, students in the research perceived the abstract, constructed with cooperative principle, more objective and complete as reported in recent research. Practical implications The work can benefit encyclopedia editors to improve IQ of existing articles as well as consumers that would obtain more relevant information in less reading time. Originality/value This is one of the first attempts to empirically investigate the application of cooperate principle to make objects more relevant for consumer needs and impact of this on IQ. IQ improvement evidence is provided and impacts on IQ dimensions such as objectivity, completeness, accuracy, and representation for research community to validate and compare results.
      Citation: Online Information Review
      PubDate: 2017-09-22T12:53:23Z
      DOI: 10.1108/OIR-01-2016-0003
  • Toward a homogenization of academic social sites
    • Pages: 812 - 825
      Abstract: Online Information Review, Volume 41, Issue 6, Page 812-825, October 2017.
      Purpose The purpose of this paper is to analyze the distribution of profiles from academic social networking sites according to disciplines, academic statuses and gender, and detect possible biases with regard to the real staff distribution. In this way, it intends to know whether these academic places tend to become specialized sites or, on the contrary, there is a homogenization process. Design/methodology/approach To this purpose, the evolution of profiles of one organization (Consejo Superior de Investigaciones Científicas) in three major academic social sites (, Google Scholar Citations and ResearchGate) through six quarterly samples since April 2014 to September 2015 are tracked. Findings Longitudinal results show important disciplinary biases but with strong increase of new profiles form different areas. They also suggest that these virtual spaces are gaining more stability and they tend toward a equilibrate environment. Originality/value This is the first longitudinal study of profiles from three major academic social networking sites and it allows to shed light on the future of these platforms’ populations.
      Citation: Online Information Review
      PubDate: 2017-09-22T12:53:11Z
      DOI: 10.1108/OIR-01-2016-0012
  • Reciprocal nature of social capital in Facebook: an analysis of tagging
    • Pages: 826 - 839
      Abstract: Online Information Review, Volume 41, Issue 6, Page 826-839, October 2017.
      Purpose The purpose of this paper is to investigate how we can understand social media interactions better by explicating the process of social capital formation on Facebook from a reciprocity perspective. Design/methodology/approach This study observed users who got tagged on Facebook by his/her friends and how s/he responded to that tagging activity. In total, 4,666 posts and 418,580 comments from The New York Times Facebook page were collected for the observation. Findings A majority (77.87 percent) of users who were tagged by their friends showed reactions to their tagging. In detail, 33.63, 44.20, and 0.04 percent of users responded by comments, “Likes”, and “Shares”, respectively. In total, 90.11 percent of the comments and 98.58 percent of the “Likes” were expressed on a comment or sub-comment, and only 9.89 percent of the comments and 1.42 percent of the “Likes” were expressed on a post. This indicates that a high percentage of users respond to their tagging notification, and they prefer dialogic responses to non-dialogic responses. Originality/value Previous studies have focused on photo tagging activity in social media, but user tagging activity had not been studied enough. This study examines the effects of Facebook tagging activity from a reciprocal perspective.
      Citation: Online Information Review
      PubDate: 2017-09-22T12:53:13Z
      DOI: 10.1108/OIR-02-2016-0042
  • Visual analytics of Europeana digital library for reuse in learning
    • Pages: 840 - 859
      Abstract: Online Information Review, Volume 41, Issue 6, Page 840-859, October 2017.
      Purpose The purpose of this paper is to assess whether Europeana can be really seen as the new “Library of Alexandria” for digital resources from the perspective of teachers, academics and researchers that might want to retrieve and reuse those resources for learning purposes. Design/methodology/approach The authors define a systematic method for studying Europeana digital resources and their potential for reuse in e-learning environments. To achieve this, the authors explore the coverage of digital resources when searching information about a specific area. The paper studies the relevance of the results (thematic coverage) provided by queries targeting the resources’ metadata elements defined by the EDM Europeana model. All the data collected for this study from Europeana digital resources are the result of four explorations since 2012-2016. Findings The autors found that Europeana as a digital library has good levels of coverage of digital resources for those terms in the AAT thesaurus explored (terms from the “Styles and Periods” subset). This subset was selected as an example of faceted search given that it is a common search topic in the academic environment. However, it is important to remark the use of common vocabulary words provided by participants in order to obtain relevant results of search based on specific knowledge areas defined by AAT terms. Research limitations/implications This research used a relatively small sample size of resources which may not be representative of the general size of Europeana digital resources. However, the results are illustrative as they are based on a specific knowledge area of AAT (118 terms) which contains very common topics used in high school courses by students and teachers in the field of art and cultural heritage. The study also aspires to provide a systematic method for conducting future studies in other knowledge areas. Originality/value The coverage study aims to analyze if Europeana is a digital library that teachers could use for the development of learning objects in specific knowledge areas, through the reuse of free/open access digital resources.
      Citation: Online Information Review
      PubDate: 2017-09-22T12:53:15Z
      DOI: 10.1108/OIR-04-2016-0114
  • Evaluating the concept specialization distance from an end-user
    • Pages: 860 - 876
      Abstract: Online Information Review, Volume 41, Issue 6, Page 860-876, October 2017.
      Purpose The common understanding of generalization/specialization relations assumes the relation to be equally strong between a classifier and any of its related classifiers and also at every level of the hierarchy. Assigning a grade of relative distance to represent the level of similarity between the related pairs of classifiers could correct this situation, which has been considered as an oversimplification of the psychological account of the real-world relations. The paper aims to discuss these issues. Design/methodology/approach The evaluation followed an end-user perspective. In order to obtain a consistent data set of specialization distances, a group of 21 persons was asked to assign values to a set of relations from a selection of terms from the AGROVOC thesaurus. Then two sets of representations of the relations between the terms were built, one according to the calculated concept of specialization weights and the other one following the original order of the thesaurus. In total, 40 persons were asked to choose between the two sets following an A/B test-like experiment. Finally, short interviews were carried out after the test to inquiry about their decisions. Findings The results show that the use of this information could be a valuable tool for search and information retrieval purposes and for the visual representation of knowledge organization systems (KOS). Furthermore, the methodology followed in the study turned out to be useful for detecting inconsistencies in the thesaurus and could thus be used for quality control and optimization of the hierarchical relations. Originality/value The use of this relative distance information, namely, “concept specialization distance,” has been proposed mainly at a theoretical level. In the current experiment, the authors evaluate the potential use of this information from an end-user perspective, not only for text-based interfaces but also its application for the visual representation of KOS. Finally, the methodology followed for the elaboration of the concept specialization distance data set showed potential for detecting possible inconsistencies in KOS.
      Citation: Online Information Review
      PubDate: 2017-09-22T12:53:02Z
      DOI: 10.1108/OIR-03-2016-0094
  • Providing consumers with a representative subset from online reviews
    • Pages: 877 - 899
      Abstract: Online Information Review, Volume 41, Issue 6, Page 877-899, October 2017.
      Purpose The purpose of this paper is to find a representative subset from large-scale online reviews for consumers. The subset is significantly small in size, but covers the majority amount of information in the original reviews and contains little redundant information. Design/methodology/approach A heuristic approach named RewSel is proposed to successively select representatives until the number of representatives meets the requirement. To reveal the advantages of the approach, extensive data experiments and a user study are conducted on real data. Findings The proposed approach has the advantage over the benchmarks in terms of coverage and redundancy. People show preference to the representative subsets provided by RewSel. The proposed approach also has good scalability, and is more adaptive to big data applications. Research limitations/implications The paper contributes to the literature of review selection, by proposing a heuristic approach which achieves both high coverage and low redundancy. This study can be applied as the basis for conducting further analysis of large-scale online reviews. Practical implications The proposed approach offers a novel way to select a representative subset of online reviews to facilitate consumer decision making. It can also enhance the existing information retrieval system to provide representative information to users rather than a large amount of results. Originality/value The proposed approach finds the representative subset by adopting the concept of relative entropy and sentiment analysis methods. Compared with state-of-the-art approaches, it offers a more effective and efficient way for users to handle a large amount of online information.
      Citation: Online Information Review
      PubDate: 2017-09-22T12:52:56Z
      DOI: 10.1108/OIR-05-2016-0125
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