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FeedWinnower: layering structures over collections of information streams

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Published:10 April 2010Publication History

ABSTRACT

Information overload is a growing threat to the productivity of today's knowledge workers, who need to keep track of multiple streams of information from various sources. RSS feed readers are a popular choice for syndicating information streams, but current tools tend to contribute to the overload problem instead of solving it. We introduce FeedWinnower, an enhanced feed aggregator that helps readers to filter feed items by four facets (topic, people, source, and time), thus facilitating feed triage. The combination of the four facets provides a powerful way for users to slice and dice their personal feeds. In addition, we present a formative evaluation of the prototype conducted with 15 knowledge workers in two different organizations.

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  1. FeedWinnower: layering structures over collections of information streams

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    • Published in

      cover image ACM Conferences
      CHI '10: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
      April 2010
      2690 pages
      ISBN:9781605589299
      DOI:10.1145/1753326

      Copyright © 2010 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 10 April 2010

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