期刊
SOCIAL SCIENCE COMPUTER REVIEW
卷 22, 期 2, 页码 210-227出版社
SAGE PUBLICATIONS INC
DOI: 10.1177/0894439303262560
关键词
Internet; web; methodology; coding; classification; online behavior
Research on how the Internet is diffusing across the population has broadened from questions about who uses the medium to what people do during their time online. With this change in focus comes a need for more detailed data on people's online actions. The author provides a method for coding and classifying users' online information-seeking behavior. The author presents an exhaustive list of ways in which a user may arrive at a web page. The proposed methodology includes enough nuanced information to distinguish among different search actions and links. In its entirety, the coding scheme makes it possible to understand many details about the users' sequence of actions simply by looking at the spreadsheet containing the information proposed in this article. The author also demonstrates the utility of this scheme with findings from a study on the information-seeking behavior of 100 randomly selected Internet users to exemplify the utility of this coding and classification scheme.
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