AI-Based Text Generation and the Social Construction of "Fraudulent Authorship": A Revisitation
Teachers who learn what these systems can do usually respond with the same hand-wringing and defensive posture triggered by concerns about student plagiarism. "Fraudulent Practices" ends with a call to deepen our discussion of plagiarism with students and to represent it more accurately ba...
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Veröffentlicht in: | Composition studies 2022-03, Vol.50 (1), p.37-179 |
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Sprache: | eng |
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Zusammenfassung: | Teachers who learn what these systems can do usually respond with the same hand-wringing and defensive posture triggered by concerns about student plagiarism. "Fraudulent Practices" ends with a call to deepen our discussion of plagiarism with students and to represent it more accurately based on communities of practice and their norms: [A]mong all aspects of rhetoric and written communication, representations of plagiarism often suffer the most from a kind of pedagogical myopia, and it is curious that we would deliberately conceal the truth about how sources are or are not attributed in the world of discourse in order to compel students to believe in a specific perspective, even if just for the time being. The New "Threat": AI-Based Text Production Recent advances in the production of natural language-text that mirrors the characteristics of writing by humans-now represent the next big perceived threat to teachers of writing. [...]there is always a risk that the vaccine could cause serious side effects, including allergic reactions, fever, and even death. |
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ISSN: | 1534-9322 2832-0093 |