Research Article: "Source Evaluation and Information Literacy: Findings from a Study on Science Websites"
New Article: “Source Evaluation and Information Literacy: Findings from a Study on Science Websites” (22 pages; PDF)
by Nora J. Bird, University of North Carolina at Greensboro; Claire R. McInerney, Rutgers University, and Stewart Mohr, Rutgers University
From the Abstract:
An essential component of information literacy is the evaluation of information resources. Integral to evaluation are users’ judgments about which web sources might prove reliable when learning about a particular topic. Past website quality studies have used research methods that involved asking participants to recall quality factors without the benefit of concurrent web searching. Users in this study evaluated websites during live searching on the “open” web to determine the quality factors they valued and how these relate to gaining knowledge about a particular topic – genetically modified (GM) food. Two weeks later, participants answered questions about the websites they visited and what they had learned via an email survey. The participants then reported factors that allowed them to remember a website or the information contained within it. The effect of the quality evaluation on memory for a particular resource is examined and its relationship to information literacy is explored.
Source: Communications in Information Literacy (4.2, 2010)
Hat Tip: Shelia Webber
About Gary Price
Gary Price (email@example.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com. Gary is also the co-founder of infoDJ an innovation research consultancy supporting corporate product and business model teams with just-in-time fact and insight finding.