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AI in the Library

JSTOR Beta Research Tool

BETA Research Tool

When researching inside JSTOR the Research Tool appears when viewing an article. (Login to JSTOR)
It can read and analyze the article to help find key points, explain why that article came up in the search, and much more.

Beta Research Tool

 

FAQs about the Research Tool

JSTOR Research Tool

With this powerful tool, you can boost student outcomes by giving learners enhanced visibility and access to JSTOR’s trusted corpus of 12+ million academic journal articles, 100,000+ books, and millions of images, multimedia, and primary source materials in 75 disciplines.

Use it to:

  • Identify relevant material faster by surfacing key points and arguments from the text being viewed.
  • Discover new topics and content in JSTOR’s vast corpus and explore potentially significant new paths of inquiry.
  • Activate semantic search, which works better for naturallanguage queries than a traditional keyword search.

“The tool is immensely helpful for initially screening a paper for the necessary topics, keywords, discussions, and themes making the preliminary literature review easier.”-Faculty

To ensure credibility, our interactive research tool uses only the document being viewed—from JSTOR’s trusted corpus—to generate its responses. We respect your privacy and handle your personal information in alignment with our privacy policy. Your prompts and content text are never used to further train models and are deleted after 30 days.
 

FAQs about the Research Tool

Macdonald-Kelce Library - The University of Tampa - 401 W. Kennedy Blvd. - Tampa, FL 33606 - 813 257-3056 - library@ut.edu - Accessibility