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Predicting implicit attitudes with natural language data
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Bhatia, Sudeep and Walasek, Lukasz (2023) Predicting implicit attitudes with natural language data. Proceedings of the National Academy of Sciences, 120 (25). e2220726120. doi:10.1073/pnas.2220726120 ISSN 0027-8424.
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Official URL: http://dx.doi.org/10.1073/pnas.2220726120
Abstract
Large-scale language datasets and advances in natural language processing offer opportunities for studying people’s cognitions and behaviors. We show how representations derived from language can be combined with laboratory-based word norms to predict implicit attitudes for diverse concepts. Our approach achieves substantially higher correlations than existing methods. We also show that our approach is more predictive of implicit attitudes than are explicit attitudes, and that it captures variance in implicit attitudes that is largely unexplained by explicit attitudes. Overall, our results shed light on how implicit attitudes can be measured by combining standard psychological data with large-scale language data. In doing so, we pave the way for highly accurate computational modeling of what people think and feel about the world around them.
Item Type: | Journal Article | ||||||||||||
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Subjects: | B Philosophy. Psychology. Religion > BF Psychology P Language and Literature > P Philology. Linguistics |
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Psychology | ||||||||||||
Library of Congress Subject Headings (LCSH): | Computational linguistics, Cognition, Human behavior, Attitude (Psychology), Psycholinguistics, Semantic memory | ||||||||||||
Journal or Publication Title: | Proceedings of the National Academy of Sciences | ||||||||||||
Publisher: | National Academy of Sciences | ||||||||||||
ISSN: | 0027-8424 | ||||||||||||
Official Date: | 12 June 2023 | ||||||||||||
Dates: |
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Volume: | 120 | ||||||||||||
Number: | 25 | ||||||||||||
Article Number: | e2220726120 | ||||||||||||
DOI: | 10.1073/pnas.2220726120 | ||||||||||||
Status: | Peer Reviewed | ||||||||||||
Publication Status: | Published | ||||||||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||||||||
Date of first compliant deposit: | 19 June 2023 | ||||||||||||
Date of first compliant Open Access: | 19 June 2023 | ||||||||||||
RIOXX Funder/Project Grant: |
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