Written by "experts" in a field, they are often "peer-reviewed" or "refereed" -- meaning that they are evaluated by other independent scholars before being accepted for publication. These articles are commonly experimental or research-based or an in-depth theoretical or literature review. The clearest and most reliable indicator of a scholarly article is the presence of a lengthy list of references at the end. This lets you know where they got their information and can sometimes lead you to other sources.
At the other end of the spectrum, these periodicals often report general news and information for an interested audience or the general public. Examples include Just Food Magazine, Time, and the St. Louis Post-Dispatch newspaper.
Useful for finding articles from scholarly peer-reviewed journals, magazines and trade publications.
Use this collection of subject databases to begin your research on a wide variety of aspects of food. See the search example below for how to see which databases have the most articles on your topic.
Try one of these subject databases to focus your search results on recognized, discipline-specific journal and magazine articles.
Newspapers are great for finding local or global perspectives.
Here's an example of a search in the Quick Article Search (a set of Ebscohost subject databases). This search will look for articles about labeling practices of genetically modified (or GMO) food products.
The asterisk character finds any (or no) ending of the word. E.g. label asterisk will find label or labels or labeling.
The keywords entered into each of the three search boxes are:
genetically modified or GMO
AND food
AND label*
The search pictured below was limited to articles published in the last 10 years (2015 to 2024) AND to peer-reviewed (scholarly) journal articles.
If you want to see which subject database found the most articles on your topic, scroll down the Refine Results column to see a list of the individual databases within the Quick Article Search collection.
Here are a couple of tip sheets on using advanced features within Webster University Libraries' databases, which include: