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Assessing differential usage of usenet social accounting meta-data

Published: 02 April 2005 Publication History

Abstract

We describe a usage study of NetscanTech, a system that generates and publishes daily a range of social metrics across three dimensions: newsgroup, author, and thread, for a set of approximately 15,000 technical newsgroups in Usenet. We bring together three interlinked datasets: survey data, usage log data and social accounting data from Usenet participation, to triangulate the relationship between various user roles and differential usage of social metrics in NetscanTech. We found our most frequent users focused on information related to individual authors far more than any other information provided. In contrast, users that visited less frequently focused more on information related to newsgroups and viewing newsgroup metrics. Our results suggest features that designers and developers of online communities may wish to include in their interfaces to support the cultivation of different community roles.

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cover image ACM Conferences
CHI '05: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
April 2005
928 pages
ISBN:1581139985
DOI:10.1145/1054972
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 02 April 2005

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Author Tags

  1. assessment
  2. authors
  3. community
  4. newsgroups
  5. posters
  6. posts
  7. reporting tools
  8. social accounting metrics
  9. threaded discussions
  10. usenet

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CHI '05 Paper Acceptance Rate 93 of 372 submissions, 25%;
Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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  • (2021)Social Catalysts: Characterizing People Who Spark Conversations Among OthersProceedings of the ACM on Human-Computer Interaction10.1145/34760235:CSCW2(1-20)Online publication date: 18-Oct-2021
  • (2021)Users roles identification on online crowdsourced Q&A platforms and encyclopedias: a surveyJournal of Computational Social Science10.1007/s42001-021-00125-95:1(285-317)Online publication date: 8-Jun-2021
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  • (2013)Community insightsProceedings of the SIGCHI Conference on Human Factors in Computing Systems10.1145/2470654.2470728(513-522)Online publication date: 27-Apr-2013
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