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Positioning Goes to Work: Computer-Aided Identification of Stance Shifts and Semantic Themes in Electronic Discourse Analysis

Positioning Goes to Work: Computer-Aided Identification of Stance Shifts and Semantic Themes in Electronic Discourse Analysis

Boyd Davis, Peyton Mason
Copyright: © 2014 |Pages: 20
ISBN13: 9781466644267|ISBN10: 1466644265|EISBN13: 9781466644274
DOI: 10.4018/978-1-4666-4426-7.ch018
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MLA

Davis, Boyd, and Peyton Mason. "Positioning Goes to Work: Computer-Aided Identification of Stance Shifts and Semantic Themes in Electronic Discourse Analysis." Innovative Methods and Technologies for Electronic Discourse Analysis, edited by Hwee Ling Lim and Fay Sudweeks, IGI Global, 2014, pp. 394-413. https://doi.org/10.4018/978-1-4666-4426-7.ch018

APA

Davis, B. & Mason, P. (2014). Positioning Goes to Work: Computer-Aided Identification of Stance Shifts and Semantic Themes in Electronic Discourse Analysis. In H. Lim & F. Sudweeks (Eds.), Innovative Methods and Technologies for Electronic Discourse Analysis (pp. 394-413). IGI Global. https://doi.org/10.4018/978-1-4666-4426-7.ch018

Chicago

Davis, Boyd, and Peyton Mason. "Positioning Goes to Work: Computer-Aided Identification of Stance Shifts and Semantic Themes in Electronic Discourse Analysis." In Innovative Methods and Technologies for Electronic Discourse Analysis, edited by Hwee Ling Lim and Fay Sudweeks, 394-413. Hershey, PA: IGI Global, 2014. https://doi.org/10.4018/978-1-4666-4426-7.ch018

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Abstract

This discussion presents two specific computer-aided techniques that allow researchers to combine quantitative and qualitative approaches to the discourse analysis of electronically-searchable text. It illustrates the application of these techniques and their supporting tools to a range of online interactions, including brief reference to entries in online tourism blogs and Facebook comments, in order to provide nuanced interpretations of electronic discourse: (1) stance-shift analysis, a software-based analysis keyed to tagged parts of speech (POS) to identify when speakers/writers shift among evaluative and affective stances to topic, to prompts, and to other participants in communicative interactions; (2) semantic domain analysis using WMatrix®, an online corpus analysis package including UCREL Semantic Analysis System, which tags words by semantic domains, and uses a log-likelihood calculator to identify significant semantic relationships across texts.

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