You can also access the Wall Street Journal search functions directly from the library database. There is no particular advantage unless you are browsing rather than searching for a particular article.
You will need to be logged in to the UML Library to access some of the material in this guide. If you are logged in to your UML email you are logged in to the library. You may get an additional authentication phone call from Duo. This is routine.
If prompted, enter your UML email credentials. If you still have trouble, clear the cache on your device. Email not working? Troubleshoot from here.
If your instructor assigns an article in the Wall Street Journal, be aware that the title and the date of publication of the article may not match the library's database. If you start with the title and date of publication you may find the article right away but if you don't, it does not mean we don't have it.
One search term that does not change is the name of the author. Try this from the library homepage:
✤ Choose Advanced Search:
✤ In the first search field, Type Wall Street Journal and choose it from the dropdown:
✤ Click "Select a Field" and choose "Journal Title/Source" from the dropdown.
In the next search field, type a couple of keywords from the article title or subject. Don't type in the whole title. Where it says "Select a Field" select "All text".
In the third box type the surname of one of the authors and from the "Select a Field" dropdown choose "Author".
Your advanced search page would look something like this:
For the search illustrated here, the results page looked like this:
Notice that the title of the article appears twice, but only in the second option do you see "Full Text Finder" below the record. Click on "Full text Finder".
Choose "Find this Article in full text from ABI/Inform". You are almost there but not quite. Some searches may take you to the exact article. In this search, the target article is first in the list, but be aware you may have more choosing to do. Notice that the author's surname is a powerful search term when searching newspaper databases.