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Classifying and Coding Online Actions

Bibliographic Data

ID12170281
AuthorsEszter Hargittai (0000-0003-4199-4868, Northwestern University, corresponding author)
Year2004
Volume22
Issue2
Pages210-227
Publication date2004-05-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSocial Science Computer Review (JOURNAL)
Journal identifiersISSN: 0894-4393 • E-ISSN: 1552-8286
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/0894439303262560
OpenAlexW4234593216
LanguageEN
Citations received11
References cited18

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

Coding (social sciences · Data science · Focus (optics · Information retrieval · Population · Scheme (mathematics · Sociology · The Internet · World Wide Web · Advanced Text Analysis Techniques · Computer Science · Information Retrieval and Search Behavior · Mathematics · Spam and Phishing Detection

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    Keith F Durkin, Keith Durkin et al.•Sociological Spectrum•2006

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    Thomas P Novak, Donna L Hoffman et al.•Marketing Science•2000

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Unique citing works11
Citations per year0,52
Citation span2005 - 2022 (18)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 11
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