Presentation for the 2017 Digital Frontiers Conference. This presentation discusses the use of the JSTOR Data for Research (DfR) tool to examine the occurrence of newspapers in scholarly literature and analyze the disciplines and key terms associated with journal articles that use newspapers in their research.
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Description
Presentation for the 2017 Digital Frontiers Conference. This presentation discusses the use of the JSTOR Data for Research (DfR) tool to examine the occurrence of newspapers in scholarly literature and analyze the disciplines and key terms associated with journal articles that use newspapers in their research.
Physical Description
21 p.
Notes
Abstract: The JSTOR Data for Research (DfR) tool enables researchers to mine the content in JSTOR, a digital archive of journals and other materials in a wide range of disciplines. This research project uses DfR to examine the occurrence of newspapers in scholarly literature and analyze the disciplines and key terms associated with journal articles that use newspapers in their research. By topic modeling the data extracted from DfR, this presentation will also explore what scholars write about when they use newspapers in their research. Is there a difference in topics when the predominant New York Times is used compared to local newspapers like the Arizona Daily Star? How do researchers use the Chicago Tribune compared to the Chicago Defender, an African-American newspaper? Are Mexican-American papers such as El Tucsonense from Arizona or El Democrata Fronterizo from Texas being used by scholars? This discussion will also focus on how tools like JSTOR Data for Research can facilitate new discoveries in digital scholarship.
This presentation is part of the following collection of related materials.
Digital Frontiers
Serving as virtual proceedings for the Digital Frontiers Conference, this collection contains abstracts, presentations, video, workshops, student responses, supporting materials, flyers, and other items from the conference and related activities.
Feeney, Mary; Wallace, Niamh & Oliver, Jeff.All the News That's Fit to Mine: Text Mining and Topic Modeling Newspaper Usage in Scholarly Literature,
presentation,
September 21, 2017;
(https://digital.library.unt.edu/ark:/67531/metadc1010747/:
accessed May 24, 2024),
University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu;
.
