Collaborative Feed Reading in a Community

dc.contributor.authorAizenbud-Reshef, Netta
dc.contributor.authorGuy, Ido
dc.contributor.authorJacovi, Michal
dc.date.accessioned2023-06-08T11:44:32Z
dc.date.available2023-06-08T11:44:32Z
dc.date.issued2009
dc.description.abstractFeed readers have emerged as one of the salient applications that characterize Web 2.0. Lately, some of the available readers introduced social features, analogously to other Web 2.0 applications, such as recommendations and tagging. Yet, most of the readers lack collaborative features, such as the ability to share feeds in a community or divide the reading task among community members. In this paper we describe CoffeeReader, a web-based feed reader, which combines social and collaborative features, and is deployed in a small community within our company. CoffeeReader provides awareness of other users' feed lists and read status; it enables information sharing such as tags and recommendations; and aims to support coordination of filtering through feeds to locate important items. We compare these group collaboration features of CoffeeReader with emerging features in publicly available feed readers; present the outcomes of using CoffeeReader within our community; and discuss our findings and their implications on making feed readers more collaborative.en
dc.identifier.doi10.1145/1531674.1531716
dc.identifier.urihttps://dl.eusset.eu/handle/20.500.12015/4882
dc.language.isoen
dc.publisherAssociation for Computing Machinery
dc.relation.ispartofProceedings of the 2009 ACM International Conference on Supporting Group Work
dc.subjectfeed aggregator
dc.subjectsocial software
dc.subjectcollaboration
dc.subjectsocial media
dc.subjectfeed reader
dc.subjectrss reader
dc.titleCollaborative Feed Reading in a Communityen
gi.citation.publisherPlaceNew York, NY, USA
gi.citation.startPage277–280
gi.citations.count6
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gi.conference.locationSanibel Island, Florida, USA

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