-
Domingue, J.; Motta, E.: PlanetOnto : from news publishing to integrated knowledge management support (2000)
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- Date
- 14. 8.2002 11:47:22
-
Sundar, S.S.; Knobloch-Westerwick, S.; Hastall, M.R.: News cues : information scent and cognitive heuristics (2007)
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- Abstract
- Google News and other newsbots have automated the process of news selection, providing Internet users with a virtually limitless array of news and public information dynamically culled from thousands of news organizations all over the world. In order to help users cope with the resultant overload of information, news leads are typically accompanied by three cues: (a) the name of the primary source from which the headline and lead were borrowed, (b) the time elapsed since the story broke, and (c) the number of related articles written about this story by other news organizations tracked by the newsbot. This article investigates the psychological significance of these cues by positing that the information scent transmitted by each cue triggers a distinct heuristic (mental shortcut) that tends to influence online users' perceptions of a given news item, with implications for their assessment of the item's relevance to their information needs and interests. A large 2 x 3 x 6 withinsubjects online experiment (N = 523) systematically varied two levels of the source credibility cue, three levels of the upload recency cue and six levels of the number-ofrelated-articles cue in an effort to investigate their effects upon perceived message credibility, newsworthiness, and likelihood of clicking on the news lead. Results showed evidence for source primacy effect, and some indication of a cue-cumulation effect when source credibility is low. Findings are discussed in the context of machine and bandwagon heuristics.
- Date
- 7. 3.2007 16:22:24
-
Yang, C.C.; Liu, N.: Web site topic-hierarchy generation based on link structure (2009)
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- Date
- 22. 3.2009 12:51:47
-
Dron, J.; Boyne, C.; Mitchell, R.; Siviter, P.: Darwin among the indices : a report on COFIND, a self-organising resource base (2000)
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- Abstract
- In this paper we report on the development and use of CoFIND (Collaborative Filter In N Dimensions), a web-based collaborative bookmark engine, designed as part of a self-organising learning environment to generate a list of useful and relevant learning resources. Users of CoFfND can add pointers to resources and rate them according to two types of category, 'topics' and 'qualities'. Along with the links and descriptions of the resources themselves, both topics and qualities are also entered by users, thus generating a resource-base and collective categorisation scheme based on the needs and wishes of its participants. A topic is analogous to a traditional category whereby any object can be considered to be in the set or out of it. Examples of topics might include 'animals', 'computing', 'travel' and so on. Qualities, on the other hand are the things that users value in a resource, and most of them are (in English at any rate) adjectives or adjectival descriptive phrases. It is always possible to say of a quality that a given resource is more or less so. Examples of qualities might include 'good for beginners', 'amusing', 'colourful', 'turgid' and so on. It is the qualities that provide the nth dimension of CoFIND, allowing much subtler ratings than typical collaborative filtering systems, which tend to rate resources according to a simple good/bad or useful/useless scale. CoFIND thus dynamically accommodates changing needs in learners, essential because the essence of learning is change. In use, the user enters a number of qualities and/or topics that interest them. Resources are returned in a list ordered according to the closeness of match to the required topics and qualities, weighted by the number of users who have categorised or rated a particular resource. The more a topic or quality is used to categorise different resources, the more prominent its position in the list of selectable topics or categories. Not only do less popular qualities sink to the bottom of this list, they can also fall off it altogether, in a process analogous to a Darwinian concept of evolution, where species of quality or topic fight each other for votes and space on the list and topics and qualities are honed so that only the most useful survive. The system is designed to teeter on the 'edge of chaos', thus allowing clear species to develop without falling into chaotic disorder or stagnant order. The paper reports on some ongoing experiments using the CoFIND system to support a number of learning environments within the University of Brighton. In particular, we report on a cut-down form used to help teach a course on Human-Computer Interaction, whereby students not only rate screen designs but collaboratively create the qualities used to rate those resources. Mention is made of plans to use the system to establish metadata schema for courseware component design, a picture database and to help facilitate small group research. The paper concludes by analysing early results, indicating that the approach provides a promising way to automatically elicit consensus on issues of categorisation and rating, allowing evolution instead of the 'experts' to decide classification criteria. However, several problems need to be overcome, including difficulties encouraging use of the system (especially when the resource base is not highly populated) and problems tuning the rate of evolution in order to maintain a balance between stability and disorder
-
Child, J.T.; Pearson, J.C.; Petronio, S.: Blogging, communication, and privacy management : development of the Blogging Privacy Management Measure (2009)
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- Abstract
- This study applied Communication Privacy Management (CPM) theory to the context of blogging and developed a validated, theory-based measure of blogging privacy management. Across three studies, 823 college student bloggers completed an online survey. In study one (n = 176), exploratory and confirmatory factor analysis techniques tested four potential models. Study two (n = 291) cross-validated the final factor structure obtained in the fourth model with a separate sample. Study three (n = 356) tested the discriminant and predictive validity of the measure by comparing it to the self-consciousness scale. The Blogging Privacy Management Measure (BPMM) is a multidimensional, valid, and reliable construct. Future research could explore the influence of family values about privacy on blogging privacy rule management.
-
Blosser, J.; Michaelson, R.; Routh. R.; Xia, P.: Defining the landscape of Web resources : Concluding Report of the BAER Web Resources Sub-Group (2000)
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- Date
- 21. 4.2002 10:22:31
-
Research and advanced technology for digital libraries : 10th European conference ; proceedings / ECDL 2006, Alicante, Spain, September 17 - 22, 2006 ; proceedings (2006)
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- Editor
- Gonzalo, J. et al.
-
Levy, D.M.: Digital libraries and the problem of purpose (2000)
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- Source
- Bulletin of the American Society for Information Science. 26(2000), no.6, Aug/Sept, S.22-25
-
Ford, N.; Miller, D.; Moss, N.: Web search strategies and human individual differences : cognitive and demographic factors, Internet attitudes, and approaches (2005)
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-
Ford, N.; Miller, D.; Moss, N.: Web search strategies and human individual differences : a combined analysis (2005)
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-
Polat, H.; Du, W.: Privacy-preserving top-N recommendation on distributed data (2008)
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- Abstract
- Traditional collaborative filtering (CF) systems perform filtering tasks on existing databases; however, data collected for recommendation purposes may split between different online vendors. To generate better predictions, offer richer recommendation services, enhance mutual advantages, and overcome problems caused by inadequate data and/or sparseness, e-companies want to integrate their data. Due to privacy, legal, and financial reasons, however, they do not want to disclose their data to each other. Providing privacy measures is vital to accomplish distributed databased top-N recommendation (TN), while preserving data holders' privacy. In this article, the authors present schemes for binary ratings-based TN on distributed data (horizontally or vertically), and provide accurate referrals without greatly exposing data owners' privacy. Our schemes make it possible for online vendors, even competing companies, to collaborate and conduct TN with privacy, using the joint data while introducing reasonable overhead costs.
-
Choi, B.; Peng, X.: Dynamic and hierarchical classification of Web pages (2004)
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- Abstract
- Automatic classification of Web pages is an effective way to organise the vast amount of information and to assist in retrieving relevant information from the Internet. Although many automatic classification systems have been proposed, most of them ignore the conflict between the fixed number of categories and the growing number of Web pages being added into the systems. They also require searching through all existing categories to make any classification. This article proposes a dynamic and hierarchical classification system that is capable of adding new categories as required, organising the Web pages into a tree structure, and classifying Web pages by searching through only one path of the tree. The proposed single-path search technique reduces the search complexity from (n) to (log(n)). Test results show that the system improves the accuracy of classification by 6 percent in comparison to related systems. The dynamic-category expansion technique also achieves satisfying results for adding new categories into the system as required.
-
Moore, N.: ¬The Internet and the library (2000)
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-
Klosek, J.: Data privacy in the information age (2000)
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-
Martin, J.: After the Internet : alien intelligence (2000)
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-
Kwon, N.: Community networks : community capital or merely an affordable Internet access tool? (2005)
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- Abstract
- In this study a perceived gap between the ideal and the reality of a community network (CN) is examined. Most proponents of CNs state that building a better physical community is their major service goal. However, there has been a concern that citizens might use the service simply as a means to connect to the Internet rather than as a means to connect to their communities. Using a survey research method (n = 213), users' perceptions of community aspects of CN service and the influence of such perceptions an their use were investigated. User demographics and alternative service accessibility were also examined as predictors of use. The present study found that the respondents were using the service mainly for general Internet features. More than two thirds of the respondents were not aware of the community content aspect of the service. Approximately 20% of respondents were identified as those whose perceptions of the community aspects actually affected their use of the service. They were both aware of community contents and using an additional Internet service provider. Findings suggest that the providers did not fully communicate the community aspects of the service with the users, while the user perception of community aspects is a key to further promotion of the service.
-
Brygfjeld, S.A.: Access to Web archives : Ther Nordic Web Archives Access Project approach (2002)
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- Location
- N
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Payne, N.; Thelwall, M.: Mathematical models for academic webs : linear relationship or non-linear power law? (2005)
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Creating Web-accessible databases : case studies for libraries, museums, and other nonprofits (2001)
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- Date
- 22. 3.2008 12:21:28
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Lavoie, B.F.; O'Neill, E.T.: How "World Wide" Is the Web? : Trends in the Internationalization of Web Sites (2001)
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- Date
- 7.10.2002 9:22:14
