Stance Analysis: Social Cues and Attitudes in Online Interaction

Stance Analysis: Social Cues and Attitudes in Online Interaction

Peyton Mason (Linguistic Insights, Inc., USA), Boyd Davis (University of North Carolina-Charlotte, USA) and Deborah Bosley (University of North Carolina-Charlotte, USA)
Copyright: © 2005 |Pages: 22
DOI: 10.4018/978-1-59140-824-6.ch010
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Abstract

In this chapter, we will first discuss what stance is and highlight how we identify and measure stance using multivariate techniques, using an ongoing example taken from an Online Financial Focus Group. We review differences in stance between online real-time focus groups and online chat, as well as between online and face-to-face focus groups; and finally, proffer examples of stance analysis in two very different online focus groups: older adults discussing financial services and teens discussing clothes. As marketers see that online focus groups offer valuable marketing information by understanding the significance of how something is said as well as what is said, their confidence in the use of online focus-group data should increase.

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