Social reader: towards browsing the social web |
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Authors: | Brett Adams Dinh Phung Svetha Venkatesh |
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Affiliation: | 1. Department of Computing, Curtin University, Bld. 314, Kent St. Bentley, Western Australia, 6102, Australia 2. Centre for Pattern Recognition and Data Analytics, School of Information Technology, Deakin University, Geelong, Victoria, 3220, Australia
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Abstract: | We describe Social Reader, a feed-reader-plus-social-network aggregator that mines comments from social media in order to display a user’s relational neighborhood as a navigable social network. Social Reader’s network visualization enhances mutual awareness of blogger communities, facilitates their exploration and growth with a fully dragn- drop interface, and provides novel ways to filter and summarize people, groups, blogs and comments. We discuss the architecture behind the reader, highlight tasks it adds to the workflow of a typical reader, and assess their cost. We also explore the potential of mood-based features in social media applications. Mood is particularly relevant to social media, reflecting the personal nature of the medium. We explore two prototype mood-based features: colour coding the mood of recent posts according to a valence/arousal map, and a mood-based abstract of recent activity using image media. A six week study of the software involving 20 users confirmed the usefulness of the novel visual display, via a quantitative analysis of use logs, and an exit survey. |
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