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SIFT
SIFT stands for:
SIFT is strategy for evaluating information that is located on the web. This is a "web native" techniques that involves assessing the background of a web source, evaluating the claims in a web source and seeking these claims out in other sources to identify the original source.
Stop
Pause reading the content of the web source and develop a strategy that establishes your awareness of the web source and your search strategy.
Do you know this web source or the web site already? Were you aware of the source's reputation before reading?
After assessing your knowledge of the web source, reevaluate your original purpose that led you to this source.
Investigate the source
At this point, you will need to know where the content is from before you read the content.
Taking time to evaluate the source's publisher, web site, and affiliated companies can help you determine whether the content is worth your time.
Find better coverage
When it comes to reviewing content, a claim or claims can give you the argument, direction, or goals of the content.
It is at this point you will want to review your source's claims and find alternative, reputable sources that support these claims. These sources can come from established, reputable sources found in your class guide, library databases, or in the library catalog, OneSearch.
Trace claims, quotes, and media to the original context
As you are refining your evaluation skills by finding alternative, reputable sources using the claims found in your web source, you are tracing the information to its original source. Original sources whether scientific findings or a quote, reestablish the original context the information your web source may or may not have attributed.
SIFT is a method of evaluating web sources for credibility. Developed by Mike Caulfield, Director of Blended and Networked Learning, Washington State University.