ESZTER HARGITTAI'S RESEARCH
Classifying
and Coding Online Actions [click for pdf pre-print version
or please contact me for citable final version]
2004. Social Science Computer Review. 22(2):210-227. Summer.
Abstract
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. In this paper, I provide a
method for coding and classifying users' online information-seeking
behavior. I present 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 paper. I also
demonstrate the utility of this coding scheme with findings from a study
on the online information-seeking behavior of 100 randomly selected
Internet users to exemplify the utility of this coding and classification
scheme.
Outline
I. Introduction
II. Research on Online Information Seeking
III. The Web Use Project
IV. The Classification and Coding Scheme
V. Analyzing Users' Online Actions
VI. Conclusion
VII. Appendix: Coding and Classification Scheme
Acknowledgements
I would like to thank Paul DiMaggio for helpful suggestions. I am also
grateful to Inna Barmash and Susan Lutz for their assistance with coding.
I also express my gratitude to the many people who took time from their
busy schedules to participate in this study. Generous support from the
Markle Foundation and NSF grant #IIS0086143 is kindly acknowledged. The
project has also been supported in part by a grant from the Russell Sage
Foundation. I am also grateful to the Dan David Foundation for its
support.
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