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Providing awareness, explanation and control of personalized filtering in a social networking site

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dc.contributor.authorVassileva, Julita
dc.contributor.authorNagulendra, Sayooran
dc.date.accessioned2017-05-10T17:24:56Z
dc.date.available2017-05-10T17:24:56Z
dc.date.issued2016-02-01
dc.description.abstractSocial networking sites (SNSs) have applied personalized filtering to deal with overwhelmingly irrelevant social data. However, due to the focus of accuracy, the personalized filtering often leads to “the filter bubble” problem where the users can only receive information that matches their pre-stated preferences but fail to be exposed to new topics. Moreover, these SNSs are black boxes, providing no transparency for the user about how the filtering mechanism decides what is to be shown in the activity stream. As a result, the user’s usage experience and trust in the system can decline. This paper presents an interactive method to visualize the personalized filtering in SNSs. The proposed visualization helps to create awareness, explanation, and control of personalized filtering to alleviate the “filter bubble” problem and increase the users’ trust in the system. Three user evaluations are presented. The results show that users have a good understanding about the filter bubble visualization, and the visualization can increase users’ awareness of the filter bubble, understandability of the filtering mechanism and to a feeling of control over the data stream they are seeing. The intuitiveness of the design is overall good, but a context sensitive help is also preferred. Moreover, the visualization can provide users with better usage experience and increase users’ trust in the system.en_US
dc.identifier.doi10.1007/s10796-015-9577-y
dc.identifier.urihttp://hdl.handle.net/10388/7860
dc.language.isoen_USen_US
dc.publisherSpringer USen_US
dc.subjectOnline communitiesen_US
dc.subjectSocial Networken_US
dc.subjectVisualizationen_US
dc.subjectPersonalized Filteringen_US
dc.subjectSNSen_US
dc.titleProviding awareness, explanation and control of personalized filtering in a social networking siteen_US
dc.typeArticleen_US

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