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The impact of image descriptions on user tagging behavior: A study of the nature and functionality of crowdsourced tags

Lin, YL and Trattner, C and Brusilovsky, P and He, D (2015) The impact of image descriptions on user tagging behavior: A study of the nature and functionality of crowdsourced tags. Journal of the Association for Information Science and Technology, 66 (9). 1785 - 1798. ISSN 2330-1635

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Abstract

© 2014 ASIS & T. Crowdsourcing has emerged as a way to harvest social wisdom from thousands of volunteers to perform a series of tasks online. However, little research has been devoted to exploring the impact of various factors such as the content of a resource or crowdsourcing interface design on user tagging behavior. Although images' titles and descriptions are frequently available in image digital libraries, it is not clear whether they should be displayed to crowdworkers engaged in tagging. This paper focuses on offering insight to the curators of digital image libraries who face this dilemma by examining (i) how descriptions influence the user in his/her tagging behavior and (ii) how this relates to the (a) nature of the tags, (b) the emergent folksonomy, and (c) the findability of the images in the tagging system. We compared two different methods for collecting image tags from Amazon's Mechanical Turk's crowdworkers - with and without image descriptions. Several properties of generated tags were examined from different perspectives: diversity, specificity, reusability, quality, similarity, descriptiveness, and so on. In addition, the study was carried out to examine the impact of image description on supporting users' information seeking with a tag cloud interface. The results showed that the properties of tags are affected by the crowdsourcing approach. Tags from the "with description" condition are more diverse and more specific than tags from the "without description" condition, while the latter has a higher tag reuse rate. A user study also revealed that different tag sets provided different support for search. Tags produced "with description" shortened the path to the target results, whereas tags produced without description increased user success in the search task.


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Details

Item Type: Article
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Lin, YL
Trattner, C
Brusilovsky, Ppeterb@pitt.eduPETERB0000-0002-1902-1464
He, Ddah44@pitt.eduDAH44
Date: 1 September 2015
Date Type: Publication
Journal or Publication Title: Journal of the Association for Information Science and Technology
Volume: 66
Number: 9
Page Range: 1785 - 1798
DOI or Unique Handle: 10.1002/asi.23292
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
ISSN: 2330-1635
Date Deposited: 11 Aug 2015 14:34
Last Modified: 01 Nov 2017 14:01
URI: http://d-scholarship.pitt.edu/id/eprint/25927

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