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Beyond logs and surveys: In‐depth measures of people's web use skills

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  • Eszter Hargittai

Abstract

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.

Suggested Citation

  • Eszter Hargittai, 2002. "Beyond logs and surveys: In‐depth measures of people's web use skills," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 53(14), pages 1239-1244, December.
    • Handle: RePEc:bla:jamist:v:53:y:2002:i:14:p:1239-1244
    DOI: 10.1002/asi.10166
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    Cited by:

    1. Yusong Liu & Wenrong Qian & Linyi Zheng, 2023. "Effect of Internet Use to Obtain News on Rural Residents’ Satisfaction with the Social Environment: Evidence from China," IJERPH, MDPI, vol. 20(3), pages 1-20, January.
    2. Stefano Morelli & Veronica Pazzi & Olga Nardini & Sara Bonati, 2022. "Framing Disaster Risk Perception and Vulnerability in Social Media Communication: A Literature Review," Sustainability, MDPI, vol. 14(15), pages 1-28, July.

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