Algorithms, Machine Learning, and Speech: The Future of the First Amendment in a Digital World
2017-06
Loading...
View/Download File
Persistent link to this item
Statistics
View StatisticsJournal Title
Journal ISSN
Volume Title
Title
Algorithms, Machine Learning, and Speech: The Future of the First Amendment in a Digital World
Authors
Published Date
2017-06
Publisher
Type
Thesis or Dissertation
Abstract
We increasingly depend on algorithms to mediate information and thanks to the advance of computation power and big data, they do so more autonomously than ever before. At the same time, courts have been deferential to First Amendment defenses made in light of new technology. Computer code, algorithmic outputs, and arguably, the dissemination of data have all been determined as constituting “speech” entitled to constitutional protection. However, continuing to use the First Amendment as a barrier to regulation may have extreme consequences as our information ecosystem evolves. This paper focuses on developing a new approach to determining what should be considered “speech” if the First Amendment is to continue to protect the marketplace of ideas, individual autonomy, and democracy.
Description
University of Minnesota M.A. thesis. June 2017. Major: Journalism. Advisor: Jane Kirtley. 1 computer file (PDF); iii, 78 pages.
Related to
Replaces
License
Series/Report Number
Funding information
Isbn identifier
Doi identifier
Previously Published Citation
Other identifiers
Suggested citation
Wiley, Sarah. (2017). Algorithms, Machine Learning, and Speech: The Future of the First Amendment in a Digital World. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/190586.
Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.