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Information Systems Frontiers

Erschienen in:

01.02.2016

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

verfasst von: Sayooran Nagulendra, Julita Vassileva

Erschienen in: Information Systems Frontiers | Ausgabe 1/2016

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Abstract

Social 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.

Vorheriger Artikel Achieving better usability of software supporting learning activities of large groups

Nächster Artikel A survey of edge-preserving image denoising methods

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Titel: Providing awareness, explanation and control of personalized filtering in a social networking site
verfasst von: Sayooran Nagulendra
Julita Vassileva
Publikationsdatum: 01.02.2016
Verlag: Springer US
Erschienen in: Information Systems Frontiers / Ausgabe 1/2016
Print ISSN: 1387-3326
Elektronische ISSN: 1572-9419
DOI: https://doi.org/10.1007/s10796-015-9577-y

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