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Towards a model of understanding social search

Published: 08 November 2008 Publication History

Abstract

Search engine researchers typically depict search as the solitary activity of an individual searcher. In contrast, results from our critical-incident survey of 150 users on Amazon's Mechanical Turk service suggest that social interactions play an important role throughout the search process. Our main contribution is that we have integrated models from previous work in sensemaking and information seeking behavior to present a canonical social model of user activities before, during, and after search, suggesting where in the search process both explicitly and implicitly shared information may be valuable to individual searchers.

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  • (2023)Practicing Information Sensibility: How Gen Z Engages with Online InformationProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581328(1-17)Online publication date: 19-Apr-2023
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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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Publication History

Published: 08 November 2008

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Author Tags

  1. information seeking
  2. sensemaking
  3. social navigation
  4. social search
  5. web browsing

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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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Overall Acceptance Rate 2,235 of 8,521 submissions, 26%

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View all
  • (2024)Understanding complex casual leisure information needs: an analysis of search requests for books, games, movies and musicJournal of Documentation10.1108/JD-03-2024-007081:1(168-194)Online publication date: 18-Oct-2024
  • (2023)Models of collaborative information behaviour (CIB): A meta-synthesisInformation Development10.1177/02666669231158334Online publication date: 14-Mar-2023
  • (2023)Practicing Information Sensibility: How Gen Z Engages with Online InformationProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581328(1-17)Online publication date: 19-Apr-2023
  • (2023)Emergent Twitter publics through political scandalJournal of Language and Politics10.1075/jlp.22028.rat22:4(458-484)Online publication date: 9-May-2023
  • (2021)Digital Public Health Surveillance Tools for Alcohol Use and HIV Risk BehaviorsAIDS and Behavior10.1007/s10461-021-03221-zOnline publication date: 17-Mar-2021
  • (2020)Socially-Informed Sorting for Guiding Personal Finance ChoicesExtended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3334480.3382898(1-9)Online publication date: 25-Apr-2020
  • (2019)Health outcomes of online consumer health informationJournal of the Association for Information Science and Technology10.1002/asi.2417870:7(643-659)Online publication date: 5-Jun-2019
  • (2018)A Study of Social Information Seeking (SIS) among LIS Research Scholars in PakistanPublications10.3390/publications60100036:1(3)Online publication date: 8-Jan-2018
  • (2018)Social media question asking (SMQA)Proceedings of the 30th Australian Conference on Computer-Human Interaction10.1145/3292147.3292173(12-22)Online publication date: 4-Dec-2018
  • (2018)SearchBotsProceedings of the 2018 Conference on Human Information Interaction & Retrieval10.1145/3176349.3176380(52-61)Online publication date: 1-Mar-2018
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