Online community information seeking: The queries of three communities in Southwestern Ontario

  • Authors:
  • Frank Lambert

  • Affiliations:
  • School of Library and Information Science, Kent State University, P.O. Box 5190, 314 University Library, Kent, OH 44242, United States

  • Venue:
  • Information Processing and Management: an International Journal
  • Year:
  • 2010

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Abstract

This paper presents not only mycommunityinfo.ca (MCI) as an innovative World Wide Web (WWW)-based community information (CI) site, but also how its unique approach to facilitating online CI searching on the Web reveals through empirical data how people use such information and communication technologies (ICTs) to address their everyday information needs. The geographic focus for this study is on three communities in Southwestern Ontario. MCI collects unobtrusively query data that are logged daily from its own Web site, the Web sites of three municipal governments, and one municipal agency from this region. One year's worth of these data was supplied to determine the types of CI that are sought through Web searching. A content analysis of a large purposive sample of all of MCI's query data reveals more specific and diverse conceptual CI needs between and within communities than those reported in other studies employing different data collection methods. As a result, using a centralized approach to online CI access via the WWW by other CI providers such as the 211 network may be a disservice to its users. Additionally, the findings demonstrate how a thorough analysis of such data may improve the informational content and overall design of municipal government Web sites. The analysis of these data also has the potential of improving current CI taxonomies.