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Marked for deletion: an analysis of email data
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Source Conference on Human Factors in Computing Systems archive
CHI '03 extended abstracts on Human factors in computing systems table of contents
Ft. Lauderdale, Florida, USA
POSTER SESSION: Interactive posters: computer-mediated communication table of contents
Pages: 924 - 925  
Year of Publication: 2003
ISBN:1-58113-637-4
Authors
Laura Dabbish  Carnegie Mellon University, Pittsburgh, PA
Gina Venolia  Microsoft Research, Redmond, WA
JJ Cadiz  Microsoft Research, Redmond, WA
Sponsors
ACM: Association for Computing Machinery
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 4,   Downloads (12 Months): 44,   Citation Count: 1
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ABSTRACT

What characteristics of an email message make it more likely to be discarded? Statistical analyses of a set of deleted and non-deleted messages revealed several factors that were important in predicting the fate of a message. After controlling for the owner of the particular message, four factors turned out to be most important: history of communication with the sender (messages sent to and messages received from), intra-organizational vs. external sender, and size of the recipient group.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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Horvitz, E., Jacobs, A., and Hovel, D. (1999). Attention-sensitive alerting. Proceedings of UAI '99, Conference on Uncertainty and Artificial Intelligence.
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Collaborative Colleagues:
Laura Dabbish: colleagues
Gina Venolia: colleagues
JJ Cadiz: colleagues