Access the full text.
Sign up today, get DeepDyve free for 14 days.
JungWon Yoon, Eunkyung Chung (2011)
Understanding image needs in daily life by analyzing questions in a social Q&A siteJ. Assoc. Inf. Sci. Technol., 62
Corinne Jörgensen (1998)
Attributes of Images in Describing TasksInf. Process. Manag., 34
L.R. Conniss, A.J. Ashford, M.E. Graham (2000)
Information seeking behaviour in image retrieval: Visor I final report
(1968)
Question-negotiation and information seeking
Simon Laing, M. Masoodian (2015)
A study of the role of visual information in supporting ideation in graphic designJournal of the Association for Information Science and Technology, 66
A. Viera, J. Garrett (2005)
Understanding interobserver agreement: the kappa statistic.Family medicine, 37 5
A. Goodrum, A. Spink (2001)
Image searching on the Excite Web search engineInf. Process. Manag., 37
Wei Jeng, Spencer DesAutels, Daqing He, Lei Li (2015)
Information exchange on an academic social networking site: A multidiscipline comparison on researchgate Q&AJournal of the Association for Information Science and Technology, 68
(2018)
Zhihu.com traffic statistics
(2017)
Zhihu created 15 million questions in 6 years
(2018a)
Image
J. Eakins, P. Briggs, B. Burford (2004)
Image Retrieval Interfaces: A User Perspective
Wenkui Jin, Renke He, Xinxin Sun (2017)
Research on the Experience Design of Chinese Knowledge Sharing in the Information Age
H. Pu (2005)
A comparative analysis of web image and textual queriesOnline Inf. Rev., 29
JungWon Yoon, Eunkyung Chung (2016)
Image use in social network communication: a case study of tweets on the Boston marathon bombingInf. Res., 21
Youngok Choi (2010)
Effects of contextual factors on image searching on the WebJ. Assoc. Inf. Sci. Technol., 61
Lori McCay-Peet, Elaine Toms (2009)
Image use within the work task model: Images as information and illustrationJ. Assoc. Inf. Sci. Technol., 60
(2017)
WeChat subscription number and image market size in 2017
(2018b)
Contact us
J. Park, Neil O'Hare, R. Schifanella, A. Jaimes, C. Chung (2015)
A Large-Scale Study of User Image Search Behavior on the WebProceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems
L. Hollink, G. Schreiber, B. Wielinga, M. Worring (2004)
Classification of user image descriptionsInt. J. Hum. Comput. Stud., 61
P. Fahy, G. Crawford, M. Ally (2001)
Patterns of Interaction in a Computer Conference TranscriptThe International Review of Research in Open and Distributed Learning, 2
A. Jaimes, Shih-Fu Chang (1999)
Conceptual framework for indexing visual information at multiple levels, 3964
R. Fidel (1997)
The image retrieval task: implications for the design and evaluation of image databasesNew Rev. Hypermedia Multim., 3
Youngok Choi, E. Rasmussen (2003)
Searching for images: The analysis of users' queries for image retrieval in American historyJ. Assoc. Inf. Sci. Technol., 54
Xiaohui Xie, Yiqun Liu, M. Rijke, Jiyin He, Min Zhang, Shaoping Ma (2017)
Why People Search for Images using Web Search EnginesProceedings of the Eleventh ACM International Conference on Web Search and Data Mining
Pål (2018)
Multimodal Analysis of Image Search Intent : Intent Recognition in Image Search from User Behavior and Visual Content
Xiaohui Xie, Yiqun Liu, Xiaochuan Wang, M. Wang, Zhijing Wu, Yingying Wu, Min Zhang, Shaoping Ma (2017)
Investigating Examination Behavior of Image Search UsersProceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval
V. Harris, P. Hepburn (2013)
Trends in Image Use by Historians and the Implications for Librarians and ArchivistsColl. Res. Libr., 74
S. Cunningham, M. Masoodian (2006)
Looking for a picture: an analysis of everyday image information searchingProceedings of the 6th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL '06)
M. Soleymani, M. Riegler, P. Halvorsen (2018)
Multimodal analysis of user behavior and browsed content under different image search intentsInternational Journal of Multimedia Information Retrieval, 7
(2018)
Users on zhihu exceeded 160 million
Kun Huang, D. Kelly (2013)
The Daily Image Information Needs and Seeking Behavior of Chinese Undergraduate StudentsColl. Res. Libr., 74
JungWon Yoon (2011)
Searching images in daily lifeLibrary & Information Science Research, 33
Sanghee Oh, J. Oh, C. Shah (2008)
The use of information sources by internet users in answering questions
A. Göker, R. Butterworth, A. MacFarlane, S. Stumpf (2017)
Presenting and visualizing image results for professional image searchers: A field evaluation
Jin Lee (2010)
Analysis of user needs and information features in natural language queries seeking music informationJournal of the American Society for Information Science and Technology, 61
S. Cunningham, D. Bainbridge, M. Masoodian (2004)
How people describe their image information needs: a grounded theory analysis of visual arts queriesProceedings of the 2004 Joint ACM/IEEE Conference on Digital Libraries, 2004.
(2018)
Comparative study on the construction modes of ‘baidu know’ and ‘zhihu community’ think tank
Eunkyung Chung, JungWon Yoon (2011)
Image needs in the context of image use: An exploratory studyJournal of Information Science, 37
Xiangrong Liu, Runquan Xie, Chen Lin, Liujuan Cao (2016)
Question microblog identification and answer recommendationMultimedia Systems, 22
Stina Westman, P. Oittinen (2006)
Image retrieval by end-users and intermediaries in a journalistic work context
Joan Beaudoin (2014)
A framework of image use among archaeologists, architects, art historians and artistsJ. Documentation, 70
This study aims to examine why users search for images, how users describe their image needs and what the images are used for by analysing questions obtained from two Chinese social Q&A sites, Zhihu and Baidu Zhidao.Design/methodology/approachA total of 1,402 image questions were collected from Zhihu and Baidu Zhidao. Both quantitative analysis and qualitative content analysis were performed to identify user image needs and the potential differences on the two social Q&A sites.FindingsQuestion-asker’s intention varies in different platforms. Zhihu users asked questions mainly aiming at a promotion of subsequent discussion, whereas users of Baidu Zhidao often did so to seek information. Syntactic attributes were not frequently used in both two sites. Zhihu users were more likely to express subjective evaluations on images (concept, emotion, theme and style) in their questions than users of Baidu Zhidao. In contrast, questions from Baidu Zhidao showed a tendency to more frequently include descriptive metadata (rights, format, size, quality and authenticity) and semantic attributes (generic activity, specific people, fashion and text) of the images than questions from Zhihu. Learning was an important use on social Q&A sites, especially on Baidu Zhidao. In addition, the images were primarily used to trigger emotion or served a persuasive purpose in Zhihu.Practical implicationsThis study contributes to a better understanding of user image search behaviour, and the findings could be used to develop better image services on social Q&A sites. Meanwhile, the image attributes extracted from the questions are conducive to the improvement of image retrieval systems.Originality/valueThis study explored the features of image needs on social Q&A sites, especially considering image use specified in the question. The difference of image needs between two Chinese social Q&A sites (Zhihu and Baidu Zhidao) was identified.
The Electronic Library – Emerald Publishing
Published: Aug 14, 2019
Keywords: Social Q&A sites; Image use; Image demands; Image description; Image needs
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.