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The microstructures of social tagging: a rational model

Published: 08 November 2008 Publication History

Abstract

This article presents a rational model developed under the distributed cognition framework that explains how social tags influence knowledge acquisition and adaptation in exploratory ill-defined information tasks. The model provides integrated predictions on the interactions among link selections, use and creation of tags, and the formation of mental categories. The model shows that the quality of tags not only influences search efficiency, but also the quality of mental categories formed during exploratory search. In addition, the model shows that aggregate regularities can be explained by microstructures of behavior that emerged from the adaptive assimilation of concepts and categories of multiple users through the social tagging system. The model has important implications on how collaborative systems could influence higher-level cognitive activities.

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cover image ACM Conferences
CSCW '08: Proceedings of the 2008 ACM conference on Computer supported cooperative work
November 2008
752 pages
ISBN:9781605580074
DOI:10.1145/1460563
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: 08 November 2008

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Author Tags

  1. categorization
  2. exploratory search
  3. rational model
  4. tagging

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CSCW08
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CSCW08: Computer Supported Cooperative Work
November 8 - 12, 2008
CA, San Diego, USA

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  • (2020)From Lost to FoundProceedings of the ACM on Human-Computer Interaction10.1145/34151944:CSCW2(1-22)Online publication date: 15-Oct-2020
  • (2019)A Taxonomy for Classifying User Group Activity in Online Political Discourse2019 IEEE 5th International Conference on Collaboration and Internet Computing (CIC)10.1109/CIC48465.2019.00018(71-80)Online publication date: Dec-2019
  • (2019)A Real-Life School Study of Confirmation Bias and Polarisation in Information BehaviourTransforming Learning with Meaningful Technologies10.1007/978-3-030-29736-7_31(409-422)Online publication date: 9-Sep-2019
  • (2019)DeepTagRec: A Content-cum-User Based Tag Recommendation Framework for Stack OverflowAdvances in Information Retrieval10.1007/978-3-030-15719-7_16(125-131)Online publication date: 7-Apr-2019
  • (2018)Will Too Many Editors Spoil The Tag?Proceedings of the ACM on Human-Computer Interaction10.1145/32743072:CSCW(1-19)Online publication date: 1-Nov-2018
  • (2017)Designing for Diagnosticity and SerendipityInformation Systems Research10.1287/isre.2017.069528:2(413-429)Online publication date: 1-Jun-2017
  • (2017)Supporting collaborative learning with tag recommendationsProceedings of the Seventh International Learning Analytics & Knowledge Conference10.1145/3027385.3027421(409-418)Online publication date: 13-Mar-2017
  • (2016)Performance of computational cognitive models of web-navigation on real websitesJournal of Information Science10.1177/016555151561584242:1(94-113)Online publication date: 1-Feb-2016
  • (2016)The Influence of Frequency, Recency and Semantic Context on the Reuse of Tags in Social Tagging SystemsProceedings of the 27th ACM Conference on Hypertext and Social Media10.1145/2914586.2914617(237-242)Online publication date: 10-Jul-2016
  • (2016)Which Tags Do We Remember in Personal Information Management?International Journal of Human-Computer Interaction10.1080/10447318.2016.118129132:7(568-583)Online publication date: 2-May-2016
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