This section of the guide with provide a brief refresher on the typical differences between popular and scholarly articles, as well as provide a number of paired examples of popular and scholarly articles, where each pair discusses the exact same research study, but in very different ways.
Popular Articles (Magazines/Newspapers) | Scholarly Articles (Journals) |
Written by journalists, columnists, reporters, bloggers, etc. | Written by scholars, academics, and researchers. |
Written for non-experts and the casually interested. | Written for (and by) those with expertise in the field. |
Sometimes referenced, but rarely with academic/scholarly sources. | Thoroughly referenced, with credible and reputable sources. |
Written to entertain, inform, provoke, and make money. | Written to advance scholarship and academic knowledge. |
Usually reviewed by an editor, though freelance work may be un-reviewed. | Usually reviewed by academics and scholars (hence “peer-review”). |
Examples: Time, Newsweek Global, National Geographic, The New Yorker | Examples: Annual Review of Critical Psychology, Cinema Journal, American Journal of Education, Nature |
The CRAAP test is a basic set of evaluation criteria and questions that you can apply to any source that you find. CRAAP is an acronym for Currency, Relevance, Authority, Accuracy, and Purpose. The test also helps consumers of information to identify the rhetorical situations (audience, author, purpose, medium, context, and content) of the media that they consume.
Currency: the timeliness of the information.
Relevance: the importance of the information for your needs.
Authority: the source of the information.
Accuracy: the reliability, truthfulness, and correctness of the content.
Purpose: the reason the information exists.
The CRAAP Test was developed by Sarah Blakeslee and other librarians at California State University. Read more via:
Blakeslee, Sarah. "The CRAAP Test." LOEX Quarterly, vol. 31, no. 3, 2004, https://commons.emich.edu/loexquarterly/vol31/iss3/4.
Trying to figure out if something you see on the Internet is real or not? Try:
The SIFT Method
For more information about the SIFT method you can read the free, short ebook: Web Literacy for Student Fact Checkers by Mike Caulfield (Washington State University).