Diese Datenbank enthält über 40.000 Dokumente zu Themen aus den Bereichen Formalerschließung – Inhaltserschließung – Information Retrieval.
© 2015 W. Gödert, TH Köln, Institut für Informationswissenschaft / Powered by litecat, BIS Oldenburg (Stand: 13. Juni 2017)
1Min, J.: Personal information concerns and provision in social network sites : interplay between secure preservation and true presentation.
In: Journal of the Association for Information Science and Technology. 67(2016) no.1, S.26-42.
Abstract: Encouraging users of social network sites (SNS) to actively provide personal information is vital if SNS are to prosper, but privacy concerns have hindered users from giving such information. Previous research dealing with privacy concerns has studied mostly worries about information misuse, focusing on the protection aspects of privacy. By adopting an interpersonal conception of privacy and communication privacy management theory, this study offers a new way of understanding privacy concerns by examining the social and presentational aspects of privacy. It examines privacy concerns in terms not only of others' misuse but of others' misunderstanding and personal information in terms not only of identity but of self-presentational information. Furthermore, it investigates the ways in which information and social risks inherent in SNS influence privacy concerns. A structural equation modeling analysis of a cross-sectional survey of 396 Facebook users finds that longer usage does not alleviate the impact of information risk on either concern, that a greater proportion of offline friends among one's SNS friends aggravates the impact of social risk on both concerns, and that concerns about information misuse affect the provision only of identity information, whereas concerns about information misunderstanding affect the provision of both identity and self-presentational information.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23376/abstract.
2Min, J. ; Kim, B.: How are people enticed to disclose personal information despite privacy concerns in social network sites? : The calculus between benefit and cost.
In: Journal of the Association for Information Science and Technology. 66(2015) no.4, S.839-857.
Abstract: Although social network sites (SNS) users' privacy concerns cannot be completely removed by privacy policies and security safeguards, the user base of SNS is constantly expanding. To explain this phenomenon, we use the lens of the calculus of behavior within a cost-benefit framework suggesting privacy concerns as cost factors and behavior enticements as benefit factors and examine how the enticements operate against privacy concerns in users' cost-benefit calculus regarding disclosing personal information and using SNS continuously. Adopting social influence process theory, we examine three enticements-the motivation of relationship management through SNS, the perceived usefulness of SNS for self-presentation, and the subjective social norms of using SNS. From a survey of 362 Facebook users who have disclosed personal information on Facebook, we find that the motivation of relationship management through SNS and the perceived usefulness of SNS for self-presentation lead users to disclose information but that subjective social norms do not, suggesting that the perceived benefit of behavior enticements should be assimilated into users' own value systems to truly operate as benefit factors. The results regarding the positive and negative effects of suggested benefit and cost factors on information disclosure show that only the combined positive effects of all three behavior enticements exceed the negative effect of privacy concerns, suggesting that privacy concerns can be offset only by multiple benefit factors.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23206/abstract.
3Lee, J. ; Min, J.-K. ; Oh, A. ; Chung, C.-W.: Effective ranking and search techniques for Web resources considering semantic relationships.
In: Information processing and management. 50(2014) no.1, S.132-155.
Abstract: On the Semantic Web, the types of resources and the semantic relationships between resources are defined in an ontology. By using that information, the accuracy of information retrieval can be improved. In this paper, we present effective ranking and search techniques considering the semantic relationships in an ontology. Our technique retrieves top-k resources which are the most relevant to query keywords through the semantic relationships. To do this, we propose a weighting measure for the semantic relationship. Based on this measure, we propose a novel ranking method which considers the number of meaningful semantic relationships between a resource and keywords as well as the coverage and discriminating power of keywords. In order to improve the efficiency of the search, we prune the unnecessary search space using the length and weight thresholds of the semantic relationship path. In addition, we exploit Threshold Algorithm based on an extended inverted index to answer top-k results efficiently. The experimental results using real data sets demonstrate that our retrieval method using the semantic information generates accurate results efficiently compared to the traditional methods.
Inhalt: Vgl.: doi: 10.1016/j.ipm.2013.08.007. A short preliminary version of this paper was published in the proceeding of WWW 2009 as a two page poster paper.
Themenfeld: Wissensrepräsentation ; Retrievalalgorithmen