ArticleBehavior research methods2021
ASIA: Automated Social Identity Assessment using linguistic style.
Article in Behavior research methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- A golden age of behavioural social psychology? Towards a social psychology of power and intergroup relations in the digital age.The British journal of social psychology · 2025Article
- Social identity switching: An investigation of non-demographic identities with computational-linguistic and self-report measures.The British journal of social psychology · 2025Article
- Collective self-understanding: A linguistic style analysis of naturally occurring text data.Behavior research methods · 2023Article
- Can we prevent social identity switches? An experimental-computational investigation.The British journal of social psychology · 2023Article
- Measuring "we-ness" in couple relationships: A social identity approach.Family process · 2023Article
- "Frontiers in psychology · 2023Article
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Authors and funding
6 authors.
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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.
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