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This and that in depression: Cross-linguistic semantic effects.
Line Kruse1, Roberta Rocca2, Emanuela Todisco3
1Department of Linguistics, Cognitive Science and Semiotics, Aarhus University, Aarhus, Denmark.
Demonstrative language use, like "this" and "that," reveals emotional proximity linked to depression. This study confirms these patterns across multiple languages, offering insights into psychological states.
Area of Science:
- Psycholinguistics
- Cognitive Science
- Clinical Psychology
Background:
- Demonstratives are crucial for communication, establishing shared reference and joint attention.
- Demonstrative choice, particularly in the absence of context, may reflect emotional or experienced proximity.
- Previous research suggests links between demonstrative semantics and psychological states, including depression.
Purpose of the Study:
- To investigate the cross-linguistic generalizability of demonstrative choice patterns related to psychological space.
- To explore whether demonstrative semantics in the Demonstrative Choice Task (DCT) can infer individual differences in depression.
Main Methods:
- Utilized the Demonstrative Choice Task (DCT) across six languages: German, Spanish, Italian, Russian, Chinese, and Tagalog Filipino.
- Developed DCT-based classification models to analyze demonstrative choices and semantic features.
- Compared model performance against baseline models and analyzed feature importance, particularly emotion dimensions.
Main Results:
- DCT-based models significantly outperformed baselines in most languages, showing cross-linguistic semantic patterns similar to English.
- Negative emotion dimensions were key features, with the proximal demonstrative more frequent in the depression group.
- Positive emotion effects were observed but showed more cross-linguistic variability.
Conclusions:
- Lexical choices in the DCT effectively capture semantic differences in experiential states associated with depression.
- Demonstrative language use can serve as a tool to map individuals within a multidimensional semantic space.
- Findings offer novel insights into individual differences in depressive states and their etiology.
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