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Journal Cover
Online Information Review
Journal Prestige (SJR): 0.625
Citation Impact (citeScore): 2
Number of Followers: 151  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 1468-4527
Published by Emerald Homepage  [341 journals]
  • Semantic Disclosure Control: semantics meets data privacy
    • Pages: 290 - 303
      Abstract: Online Information Review, Volume 42, Issue 3, Page 290-303, June 2018.
      Purpose To overcome the limitations of purely statistical approaches to data protection, the purpose of this paper is to propose Semantic Disclosure Control (SeDC): an inherently semantic privacy protection paradigm that, by relying on state of the art semantic technologies, rethinks privacy and data protection in terms of the meaning of the data. Design/methodology/approach The need for data protection mechanisms able to manage data from a semantic perspective is discussed and the limitations of statistical approaches are highlighted. Then, SeDC is presented by detailing how it can be enforced to detect and protect sensitive data. Findings So far, data privacy has been tackled from a statistical perspective; that is, available solutions focus just on the distribution of the data values. This contrasts with the semantic way by which humans understand and manage (sensitive) data. As a result, current solutions present limitations both in preventing disclosure risks and in preserving the semantics (utility) of the protected data. Practical implications SeDC captures more general, realistic and intuitive notions of privacy and information disclosure than purely statistical methods. As a result, it is better suited to protect heterogenous and unstructured data, which are the most common in current data release scenarios. Moreover, SeDC preserves the semantics of the protected data better than statistical approaches, which is crucial when using protected data for research. Social implications Individuals are increasingly aware of the privacy threats that the uncontrolled collection and exploitation of their personal data may produce. In this respect, SeDC offers an intuitive notion of privacy protection that users can easily understand. It also naturally captures the (non-quantitative) privacy notions stated in current legislations on personal data protection. Originality/value On the contrary to statistical approaches to data protection, SeDC assesses disclosure risks and enforces data protection from a semantic perspective. As a result, it offers more general, intuitive, robust and utility-preserving protection of data, regardless their type and structure.
      Citation: Online Information Review
      PubDate: 2018-04-27T02:07:35Z
      DOI: 10.1108/OIR-03-2017-0090
       
  • How do social network sites support product users’ knowledge
           construction' A study of LinkedIn
    • Pages: 304 - 323
      Abstract: Online Information Review, Volume 42, Issue 3, Page 304-323, June 2018.
      Purpose Social network sites are emerging as a popular communication tool for knowledge sharing and construction. LinkedIn, which concentrates on professional networking, is reported to generate great informational benefits to its users. The purpose of this paper is to explore product users’ knowledge construction in solving technical problems on LinkedIn, which was chosen as a case example. Design/methodology/approach Discussion threads with rich knowledge elements were selected from an interest group about solving technical problems with laptops. Adopting a qualitative content analysis method, selected threads were analysed with a prior analysis framework built in the context of traditional IT company sponsored peer user support forums. Findings The analysis revealed that the iterative and progressive knowledge construction process and associated trial-and-error strategy used on LinkedIn are similar to those found in peer support forums. However, LinkedIn members are more engaged in knowledge construction episodes. Meanwhile, the sub-category “proposing a new idea” accounts for a larger portion of discussions reflecting the high-level of expertise. One-to-one direct interaction is quite salient. Therefore, LinkedIn can support knowledge construction in a more efficient way due to the character of its social capital, including trust, sense of belonging, norms of cooperation, visible identity, knowledge articulation skills, one-to-one direct interaction and suitable strength of ties. Originality/value This research is novel in empirically revealing how LinkedIn attributes and its social capital attributes interact with each other and together facilitate an efficient knowledge construction process.
      Citation: Online Information Review
      PubDate: 2018-04-27T02:07:22Z
      DOI: 10.1108/OIR-04-2017-0133
       
  • Exploring the determinants of fundraisers’ voluntary information
           disclosure on crowdfunding platforms
    • Pages: 324 - 342
      Abstract: Online Information Review, Volume 42, Issue 3, Page 324-342, June 2018.
      Purpose The purpose of this paper is to examine factors affecting fundraisers’ voluntary information disclosure on crowdfunding platforms based on risk-perception theory (RPT). Design/methodology/approach Structural equation modeling was employed to test the hypothesized relationships using data collected from China. Findings The authors found that plagiarism risk and financing risk are two important variables that influence fundraisers’ voluntary information disclosure. Specifically, plagiarism risk has a negative effect on fundraisers’ voluntary information disclosure, while financing risk has a positive effect on fundraisers’ voluntary information disclosure. Plagiarism risk is affected by information concerns, perceived control, project innovativeness, and quality of alternatives, while financing risk is affected by protection policy and information norms. Originality/value This study enriches crowdfunding research by identifying factors influencing fundraisers’ voluntary information disclosure and contributes to RPT by applying it in a new crowdfunding context.
      Citation: Online Information Review
      PubDate: 2018-04-27T02:07:14Z
      DOI: 10.1108/OIR-11-2016-0329
       
  • Gender bias in machine learning for sentiment analysis
    • Pages: 343 - 354
      Abstract: Online Information Review, Volume 42, Issue 3, Page 343-354, June 2018.
      Purpose The purpose of this paper is to investigate whether machine learning induces gender biases in the sense of results that are more accurate for male authors or for female authors. It also investigates whether training separate male and female variants could improve the accuracy of machine learning for sentiment analysis. Design/methodology/approach This paper uses ratings-balanced sets of reviews of restaurants and hotels (3 sets) to train algorithms with and without gender selection. Findings Accuracy is higher on female-authored reviews than on male-authored reviews for all data sets, so applications of sentiment analysis using mixed gender data sets will over represent the opinions of women. Training on same gender data improves performance less than having additional data from both genders. Practical implications End users of sentiment analysis should be aware that its small gender biases can affect the conclusions drawn from it and apply correction factors when necessary. Users of systems that incorporate sentiment analysis should be aware that performance will vary by author gender. Developers do not need to create gender-specific algorithms unless they have more training data than their system can cope with. Originality/value This is the first demonstration of gender bias in machine learning sentiment analysis.
      Citation: Online Information Review
      PubDate: 2018-04-27T02:07:38Z
      DOI: 10.1108/OIR-05-2017-0153
       
  • Implications of integrating e-leisure constraints and means-end
           
    • Pages: 355 - 371
      Abstract: Online Information Review, Volume 42, Issue 3, Page 355-371, June 2018.
      Purpose The purpose of this paper is, based on leisure constraints and means-end theories, to identify the e-leisure constraints of using the video-sharing websites/apps; demonstrate how means-end theory can be used to reveal the differences between high- and low-leisure constraints in an e-leisure environment; and provide designers and marketers with valuable insights for developing e-leisure products and e-marketing strategies. Design/methodology/approach Both qualitative and quantitative approaches are employed to collect data. By eliminating three participants whose age range did not meet our criterion (15 to 24 years old), 57 one-on-one in-depth interviews were then content analyzed to design the survey questionnaire. A total of 514 valid samples were collected for hierarchical value map (HVM) construction. Findings By comparing the full HVM vs the e-leisure constraints HVM, the analytical results indicate that the importance of attributes, consequences and values for the young people using video-sharing websites/apps is quite different. “Unable to resume the video after leaving the screen,” “creating playlist,” “providing movies” and “location restrictions” are extremely important features that influence the willingness of such users with high e-leisure constraints to participate in e-leisure activities. By understanding the differences between these two HVMs, it is possible to provide marketers or designers with valuable insights for website/app design and marketing strategies. Research limitations/implications This study only focused on young people’s perceptions of video-sharing websites/apps, so the findings are limited to those aged between 15 and 24 years old. Since managers today are challenged to design effective strategies that can meet target users’ demands across different ages with different economic, social and sub-cultural groups, future research may consider gathering a wider age range of respondents in order to obtain more robust results. Originality/value This is the first paper integrating leisure constraints theory and means-end theory to understand young people’s cognitive structure of using video-sharing websites/apps, especially when they encounter e-leisure constraints.
      Citation: Online Information Review
      PubDate: 2018-04-27T02:07:28Z
      DOI: 10.1108/OIR-03-2017-0091
       
  • Network characteristics matter in politics on Facebook: evidence from a US
           national survey
    • Pages: 372 - 386
      Abstract: Online Information Review, Volume 42, Issue 3, Page 372-386, June 2018.
      Purpose Facebook has been identified as a primary source of political information by a majority (63 percent) of its users. The purpose of this paper is to examine the relationship between Facebook use and political participation, and investigate the mediating effects of the characteristics of one’s Facebook network (i.e. network size, proportion of strong ties, and discussion network heterogeneity). Design/methodology/approach This study relies on a representative survey of American adults (n=1,032) conducted during the 2012 primary election campaigns from May 3 to May 10. The sample was randomly selected from a representative online panel maintained by a professional research organization. Given this study’s focus on the influence of Facebook use and network characteristics, an online panel is suitable for testing the hypotheses. Findings The results show positive associations between Facebook use and both off- and online political participation. Further, the positive association between Facebook use and political participation is mediated by discussion network heterogeneity and the proportion of strong ties in one’s Facebook network, but not the network size. Originality/value This study sheds light on the roles played by network characteristics of Facebook. The composition of a user’s Facebook network is closely related with what kind of information she encounters and how likely she is to participate in politics. Hence, network characteristics (e.g. Facebook discussion network heterogeneity) arise as important for gaining a nuanced understanding of the relationship between general use of the medium and its political outcomes.
      Citation: Online Information Review
      PubDate: 2018-04-27T02:06:58Z
      DOI: 10.1108/OIR-09-2016-0262
       
  • Study of the accessibility of a sample of scientific electronic journal
           publishing platforms
    • Pages: 387 - 411
      Abstract: Online Information Review, Volume 42, Issue 3, Page 387-411, June 2018.
      Purpose The purpose of this paper is to analyse the degree of accessibility of a set of electronic journals that are hosted on widely used online scientific journal publishing platforms and whose content quality has already been certified. Two studies were performed, in which the accessibility of the selected platforms was studied in 2011 and 2016. Design/methodology/approach The research was performed on publishing platforms than hosted more than 20 journals about human behaviour and factors that may influence it. The evaluation was carried out following the methodology described by the Web Accessibility Initiative in their Website Accessibility Conformance Evaluation Methodology. Findings The results show that, in spite of an improvement in accessibility, all the analysed electronic consultation platforms contain errors that could hinder their users’ access to their content. The incidence of errors found varies considerably among platforms. As the user interface of each platform analysed is common to all the online scientific electronic journals it hosts, the results obtained are valid for all other journals hosted on a given platform. Research limitations/implications Obtained results were valid in the date and time the websites were analysed. Changes made on the websites since then make that the results of an accessibility analysis would be different. Practical implications Analysed platforms would require taking steps to ensure their accessibility. Social implications Users with disabilities cannot use these platforms appropriately due to the accessibility problems found. The lack of web accessibility also has implications regarding visibility of published articles and common users. Originality/value This work offers a systematic analysis that includes manual accessibility evaluation, which has not been performed in scientific article publishing platforms to the extent presented in this paper. Articles found in the literature perform automatic analyses, which lack the depth of a manual one. Besides, when manual accessibility analysis is performed, usually the home page of a platform or journal alone is considered.
      Citation: Online Information Review
      PubDate: 2018-04-27T02:07:12Z
      DOI: 10.1108/OIR-04-2016-0107
       
  • Open bibliometrics and undiscovered public knowledge
    • Pages: 412 - 418
      Abstract: Online Information Review, Volume 42, Issue 3, Page 412-418, June 2018.
      Purpose The purpose of this paper is to raise awareness of the potential of open bibliometrics, especially for the discovery of previously undiscovered public knowledge. Design/methodology/approach The viewpoint considers the limitations of the most popular current bibliometric tools and the possibilities offered from more open tools. It is supported by analysis of the openness of keywords associated with bibliometric studies in 2016. Findings The paper finds that although tools are emerging that offer more open bibliometrics, bibliometric research nonetheless continues to make use of restricted services. Originality/value This viewpoint on the potential of open bibliometrics is supported by an analysis of the current openness of bibliometric keywords.
      Citation: Online Information Review
      PubDate: 2018-04-27T02:07:51Z
      DOI: 10.1108/OIR-07-2017-0209
       
  • Online investigation of users’ attitudes using automatic question
           answering
    • Pages: 419 - 435
      Abstract: Online Information Review, Volume 42, Issue 3, Page 419-435, June 2018.
      Purpose With the development of the internet, huge numbers of reviews are generated, disseminated, and shared on e-commerce and social media websites by internet users. These reviews usually indicate users’ opinions about products or services directly, and are thus valuable for efficient marketing. The purpose of this paper is to mine online users’ attitudes from a huge pool of reviews via automatic question answering. Design/methodology/approach The authors make use of online reviews to complete an online investigation via automatic question answering (AQA). In the process of AQA, question generation and extraction of corresponding answers are conducted via sentiment computing. In order to verify the performance of AQA for online investigation, online reviews from a well-known travel website, namely Tuniu.com, are used as the experimental data set. Finally, the experimental results from AQA vs a traditional questionnaire are compared. Findings The experimental results show that results between the AQA-based automatic questionnaire and the traditional questionnaire are consistent. Hence, the AQA method is reliable in identifying users’ attitudes. Although this paper takes Chinese tourism reviews as the experimental data, the method is domain and language independent. Originality/value To the best of the authors’ knowledge, this is the first study to use the AQA method to mine users’ attitudes towards tourism services. Using online reviews may overcome problems with using traditional questionnaires, such as high costs and long cycle for questionnaire design and answering.
      Citation: Online Information Review
      PubDate: 2018-04-27T02:07:44Z
      DOI: 10.1108/OIR-10-2016-0299
       
  • Influence of personality traits on open access mode of publishing
    • Abstract: Online Information Review, Ahead of Print.
      Purpose The purpose of this paper is to assess the influence of personality traits on perception and acceptance of open access (OA) mode of publishing by the author community of University of Kashmir, India. The study is an attempt to highlight the relationship between personality traits of authors and OA mode of publishing. Design/methodology/approach The study is based on the responses of 48 faculty members affiliated with different Departments of Science Discipline of University of Kashmir. Big Five personality traits (extraversion, agreeableness, conscientiousness, emotional stability and openness to experience) were tapped through ten-item personality inventory, and information regarding OA was gauged through six self-devised statements. Findings Pearson correlation test confirms statistically significant relation between personality traits and different dimensions of OA mode of publishing. Personality traits are found to have an influence on author’s perception of OA mode of publishing. However, the study could not ascertain any relation between the notions of an author about the quality of OA content with any of the personality traits. Emotionally stable authors are found to explicitly submit their work in OA journals without any anxiety or negativity. Agreeable and conscientious authors also prefer to keep their work open to make it helpful to the broader audience and get maximum recognition from peers and citations to their work respectively. However, some authors (agreeable) hesitate in submitting their work in open platforms due to the fear of getting their works easily copied. Originality/value The study is first of its kind highlighting a new dimension in the field of OA and investigates the influence of personality traits on author’s attitude towards open mode of publishing.
      Citation: Online Information Review
      PubDate: 2018-07-13T09:54:07Z
      DOI: 10.1108/OIR-11-2016-0335
       
 
 
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