2016 conference paper
Use what you choose: Applying computational methods to genre studies in technical communication
SIGDOC 2016 - 34th ACM International Conference on the Design of Communication.
Contributors: B. Larson *, D. Walls n , W. Hart-Davidson *, K. Walker * & R. Omizo *
TL;DR:
Evidence of genre hybridity is discovered in the signals of instructional genres embedded into customer reviews of Amazon.com consumer electronic product customer reviews, which contribute to rhetorical genre theory and offer ideas on applying genre theory to inform application design for users of information services.
(via Semantic Scholar)
open access via scholarship.law.tamu.edu (repository)
UN Sustainable Development Goal Categories
4. Quality Education
(OpenAlex)
Source: ORCID
Added: July 17, 2023
This paper reports on the results of an intensive application development workshop held in the summer of 2015 during which a group of thirteen researchers came together to explore the use of machine-learning algorithms in technical communication. To do this we analyzed Amazon.com consumer electronic product customer reviews to reevaluate a central concept in North American Genre Theory: stable genre structures arise from recurring social actions ([1][2][3][4][5]). We discovered evidence of genre hybridity in the signals of instructional genres embedded into customer reviews. Our paper discusses the creation of a prototype web application, "Use What You Choose" (UWYC), which sorts the natural language text of Amazon reviews into two categories: instructionally-weighed reviews (e.g., reviews that contain operational information about products) and non-instructionally-weighed reviews (those that evaluate the quality of the product). Our results contribute to rhetorical genre theory and offer ideas on applying genre theory to inform application design for users of information services.