ASIA:Automated Social Identity Assessment using linguistic style

Koschate, M. and Naserian, E. and Dickens, L. and Stuart, A. and Russo, A. and Levine, M. (2021) ASIA:Automated Social Identity Assessment using linguistic style. Behavior Research Methods. ISSN 1554-351X

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Abstract

The various group and category memberships that we hold are at the heart of who we are. They have been shown to affect our thoughts, emotions, behavior, and social relations in a variety of social contexts, and have more recently been linked to our mental and physical well-being. Questions remain, however, over the dynamics between different group memberships and the ways in which we cognitively and emotionally acquire these. In particular, current assessment methods are missing that can be applied to naturally occurring data, such as online interactions, to better understand the dynamics and impact of group memberships in naturalistic settings. To provide researchers with a method for assessing specific group memberships of interest, we have developed ASIA (Automated Social Identity Assessment), an analytical protocol that uses linguistic style indicators in text to infer which group membership is salient in a given moment, accompanied by an in-depth open-source Jupyter Notebook tutorial (https://github.com/Identity-lab/Tutorial-on-salient-social-Identity-detection-model). Here, we first discuss the challenges in the study of salient group memberships, and how ASIA can address some of these. We then demonstrate how our analytical protocol can be used to create a method for assessing which of two specific group memberships—parents and feminists—is salient using online forum data, and how the quality (validity) of the measurement and its interpretation can be tested using two further corpora as well as an experimental study. We conclude by discussing future developments in the field. © 2021, The Author(s).

Item Type:
Journal Article
Journal or Publication Title:
Behavior Research Methods
Subjects:
ID Code:
152106
Deposited By:
Deposited On:
25 Feb 2021 10:48
Refereed?:
Yes
Published?:
Published
Last Modified:
16 Jun 2021 09:01