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How Big Data can expose a nascent White (House) Nationalism
- Author(s):
- Aaron Slodounik (see profile)
- Date:
- 2017
- Subject(s):
- Art, History, Civil rights, Mass media--Study and teaching, United States, Area studies, Digital humanities
- Item Type:
- Blog Post
- Tag(s):
- Donald Trump, Actual Malice, Stéphane Mallarmé, Paul Gauguin, Big Data, Art history, Media studies, American studies
- Permanent URL:
- http://dx.doi.org/10.17613/M6KK08
- Abstract:
- This essay examines how implicit meaning within contemporary political discourse can be made explicit by applying insights from my dissertation on the nineteenth-century French Symbolist artist Paul Gauguin. Through pattern seeking and a creative application of the criteria of "actual malice" (established by the Supreme Court case New York Times v. Sullivan) we can begin to see instances of actual bias against identity groups protected by the Civil Rights Act of 1964. I argue that watchdog groups and other researchers will likely find a pattern of malice if they apply this method to Donald Trump's written and verbal statements made during the campaign.
- Metadata:
- xml
- Published as:
- Online publication
- Status:
- Published
- Last Updated:
- 5 years ago
- License:
- Attribution-NoDerivatives
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