Ask yourself
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Has the author cited (provided in-text references and/or bibliography) materials to support their position?
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Are there political, ideological, cultural, religious, or institutional biases?
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If the information is opinion, is this clearly stated?
What's a good fit for you?
Evaluate the kind, quality, quantity, and appropriateness of information offered as support. Evidence is information provided to support a point. Statistics, facts, expert opinions, and anecdotes are among the many types of evidence you will find in your sources.
As you evaluate a source, consider
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the amount of evidence provided by the source--be wary of sources that fail to support their arguments or offer little or no information to illustrate ideas
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This means are there citations, a bibliography, links to the sources used, and direct quotes from experts or participants—something that shows you where the information comes from.
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the type of evidence used in the source--ask whether the evidence is appropriate for the arguments or ideas addressed in the source
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the persuasiveness of the evidence--ask whether the source offers reasonable alternative interpretations of the evidence, whether it uses questionable or inappropriate evidence, and whether evidence used in one part of a source contradicts evidence used elsewhere
Ask yourself
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Has the author cited (provided in-text references and/or bibliography) materials to support their position?
-
Are there political, ideological, cultural, religious, or institutional biases?
-
If the information is opinion, is this clearly stated?
Consider
The origin of the evidence--ask where the evidence used in a source comes from and whether it is drawn from a single source or from multiple sources.
To help evaluate the accuracy of evidence, look for
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citations and a bibliography that lists other credible sources of information that support the author’s position
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links to websites or other web-documents that support the author’s position
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information about possible opposing points of view or different interpretations of the data
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information about the author’s political or institutional affiliations to show potential bias