Chinese Web users' daily image needs and seeking behavior in a Q&A community

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	Chinese Web users' daily image needs and seeking behavior in a Q&A community
	HUANG Kun 1; NIU Xi 2; WANG Shanshan 1; WANG Kaifei 1; Kun Huang(Email:huangkun@bnu.edu.cn)
	2015-03-24
发表期刊	Chinese Journal of Library and Information Science
卷号	8 期号:1 页码:1-20
摘要	Purpose: In order to further the understanding of Chinese Web users' image-seeking behavior, this study explores the kinds of images that Chinese Web users seek online and how they express their requests. Design/methodology/approach: We used five pairs of simulated keywords to collect 893 image-seeking questions from Baidu Zhidao. Then, we revised the subject category of questions to analyze popular image needs. In addition, we conducted content analysis and descriptive statistical analysis to identify image-seeking motivations and image features used in the requests in terms of the two theories of image feature classification and image use. Findings: Among the 893 questions, the image searches for entertainment accounted for 47.59%, more than the searches for professional knowledge (37.40%) and personal daily activities (15.01%). With regard to motivation, over 60% of the questions were identified as used for learning, which is well over the proportion of questions used for illustrating. Thus, these questions requested images as sources of data rather than sources of objects. Non-visual features (47.58%) were used most frequently in question descriptions, slightly higher than semantic features (45.96%). Users who lacked domain knowledge tended to use general words rather than specific words to describe their requests. However, not many users used syntactic features when seeking images. Nevertheless, most of the users had a fairly clear idea about what the target image should look like. Research limitations: We studied only one question and answer (Q&A) community using five pairs of simulated keywords. Practical implications: The findings should be helpful in strengthening the functionality of Q&A systems, promoting the theories of image feature classification, and shedding light on information literacy training. Originality/value: This study is one of the first research efforts that discusses Chinese Web users' daily image searches and querying behavior in natural language in a Q&A community, which should help to further the understanding of the principles of image-seeking behavior among Chinese Web users. ; Purpose: In order to further the understanding of Chinese Web users' image-seeking behavior, this study explores the kinds of images that Chinese Web users seek online and how they express their requests. Design/methodology/approach: We used five pairs of simulated keywords to collect 893 image-seeking questions from Baidu Zhidao. Then, we revised the subject category of questions to analyze popular image needs. In addition, we conducted content analysis and descriptive statistical analysis to identify image-seeking motivations and image features used in the requests in terms of the two theories of image feature classification and image use. Findings: Among the 893 questions, the image searches for entertainment accounted for 47.59%, more than the searches for professional knowledge (37.40%) and personal daily activities (15.01%). With regard to motivation, over 60% of the questions were identified as used for learning, which is well over the proportion of questions used for illustrating. Thus, these questions requested images as sources of data rather than sources of objects. Non-visual features (47.58%) were used most frequently in question descriptions, slightly higher than semantic features (45.96%). Users who lacked domain knowledge tended to use general words rather than specific words to describe their requests. However, not many users used syntactic features when seeking images. Nevertheless, most of the users had a fairly clear idea about what the target image should look like. Research limitations: We studied only one question and answer (Q&A) community using five pairs of simulated keywords. Practical implications: The findings should be helpful in strengthening the functionality of Q&A systems, promoting the theories of image feature classification, and shedding light on information literacy training. Originality/value: This study is one of the first research efforts that discusses Chinese Web users' daily image searches and querying behavior in natural language in a Q&A community, which should help to further the understanding of the principles of image-seeking behavior among Chinese Web users.
文章类型	Research Papers
关键词	Image Needs Image Seeking Baidu Zhidao q&a Communities Image Users
学科领域	新闻学与传播学 ; 图书馆、情报与文献学
URL	查看原文
收录类别	其他
所属项目编号	Grant No.: 11YJC870010
语种	英语
项目资助者	This work is supported by Humanities and Social Science Fund from the Chinese Ministry of Education (Grant No.: 11YJC870010).
文献类型	期刊论文
条目标识符	http://ir.las.ac.cn/handle/12502/7662
专题	Journal of Data and Information Science_Chinese Journal of Library and Information Science-2015
通讯作者	Kun Huang(Email:huangkun@bnu.edu.cn)
作者单位	1.School of Government, Beijing Normal University, Beijing 100875, China 2.School of Informatics and Computing, Indiana University at Indianapolis, Indianapolis, IN 46202, USA
第一作者单位	中国科学院文献情报中心
推荐引用方式 GB/T 7714	HUANG Kun,NIU Xi,WANG Shanshan,et al. Chinese Web users' daily image needs and seeking behavior in a Q&A community[J]. Chinese Journal of Library and Information Science,2015,8(1):1-20.
APA	HUANG Kun,NIU Xi,WANG Shanshan,WANG Kaifei,&Kun Huang.(2015).Chinese Web users' daily image needs and seeking behavior in a Q&A community.Chinese Journal of Library and Information Science,8(1),1-20.
MLA	HUANG Kun,et al."Chinese Web users' daily image needs and seeking behavior in a Q&A community".Chinese Journal of Library and Information Science 8.1(2015):1-20.

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