A Faceted Classification Scheme for Computer-Mediated Discourse
Main Article Content
Abstract
This article describes a classification scheme for computer-mediated discourse that classifies samples in terms of clusters of features, or “facets”. The goal of the scheme is to synthesize and articulate aspects of technical and social context that influence discourse usage in CMC environments. The classification scheme is motivated, presented in detail with support from existing literature, and illustrated through a comparison of two types of weblog (blog) data. In concluding, the advantages and limitations of the scheme are weighed.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Licensing and Reuse: Unless another option is selected below, reuse of the published Work will be governed by a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY https://creativecommons.org/licenses/by-nc/4.0/ ). This lets others remix, tweak, and build upon the Work non-commercially; although new works must acknowledge the original Language@Internet publication and be non-commercial, they do not have to be licensed on the same terms.