Characterizing browsing strategies in the World-Wide Web
Proceedings of the Third International World-Wide Web conference on Technology, tools and applications
A case for interaction: a study of interactive information retrieval behavior and effectiveness
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
How people revisit web pages: empirical findings and implications for the design of history systems
International Journal of Human-Computer Studies - Special issue: World Wide Web usability
Analysis of a very large web search engine query log
ACM SIGIR Forum
Real life, real users, and real needs: a study and analysis of user queries on the web
Information Processing and Management: an International Journal
Users' interaction with World Wide Web resources: an exploratory study using a holistic approach
Information Processing and Management: an International Journal
A review of web searching studies and a framework for future research
Journal of the American Society for Information Science and Technology
Z39.50: The User''s Perspective
Z39.50: The User''s Perspective
Consumer reactions to electronic shopping on the world wide web
International Journal of Electronic Commerce
Introduction and overview: effective methods for studying information seeking and use
Journal of the American Society for Information Science and Technology
Classifying and coding online actions
Social Science Computer Review - Special issue: Sociology and computing
User information seeking behavior in a medical web portal environment: a preliminary study
Journal of the American Society for Information Science and Technology - Part I: Information seeking research
Journal of the American Society for Information Science and Technology
Survey Measures of Web-Oriented Digital Literacy
Social Science Computer Review
The reality of media preferences: do professional groups vary in awareness?
Journal of the American Society for Information Science and Technology
Web searcher interaction with the Dogpile.com metasearch engine
Journal of the American Society for Information Science and Technology
Computers in Human Behavior
EGOV '08 Proceedings of the 7th international conference on Electronic Government
Using the taxonomy of cognitive learning to model online searching
Information Processing and Management: an International Journal
A study and comparison of multimedia Web searching: 1997–2006
Journal of the American Society for Information Science and Technology
Journal of the American Society for Information Science and Technology
The effect of specialized multimedia collections on web searching
Journal of Web Engineering
Brand positioning strategy using search engine marketing
MIS Quarterly
EGOV'06 Proceedings of the 5th international conference on Electronic Government
ICT diffusion in the Republic of Armenia
Proceedings of the Fifth International Conference on Information and Communication Technologies and Development
Digital Inequality and Participation in the Political Process: Real or Imagined?
Social Science Computer Review
Digital divide in social networking sites
International Journal of Mobile Communications
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Finding information on the Web can be a much more complex search process than previously experienced on many pre-Web information retrieval systems given that finding content online does not have to happen via a search algorithm typed into a search field. Rather, the Web allows for a myriad of search strategies. Although there are numerous studies of Web search techniques, these studies often limit their focus to just one part of the search process and are not based on the behavior of the general user population, nor do they include information about the users. To remedy these shortcomings, this project looks at how people find information online in the context of their other media use, their general Internet use patterns, in addition to using information about their demographic background and social support networks. This article describes the methodology in detail, and suggests that a mix of survey instruments and in-person observations can yield the type of rich data set that is necessary to understand in depth the differences in people's information retrieval behavior online.