Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Click here to sign up for SAGE Journal Email Alerts today!

Sign In to gain access to subscriptions and/or personal tools.
Social Science Computer Review
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in Web of Science
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Web of Science (6)
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Hargittai, E.
Right arrow Search for Related Content
Social Bookmarking
Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

Classifying and Coding Online Actions

Eszter Hargittai

Northwestern University research{at}eszter.com

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.

Key Words: Internet • web • methodology • coding • classification • online behavior

Social Science Computer Review, Vol. 22, No. 2, 210-227 (2004)
DOI: 10.1177/0894439303262560
Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?


This article has been cited by other articles:


Home page
 Social Science Computer ReviewHome page
E. Hargittai
Survey Measures of Web-Oriented Digital Literacy
Social Science Computer Review, August 1, 2005; 23(3): 371 - 379.
[Abstract] [PDF]