Cognitive networks and text analysis identify anxiety as a key dimension of 
psychological distress in suicide notes

Swanson, Trevor; Teixeira, Andreia Sofia; Richson, Brianne N.; Li, Ying; Hills, Thomas; Forbush, Kelsie T.; Watson, David; Ciringione, Luciana; Stella, Massimo

doi:10.31234/osf.io/m2k67

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Cognitive networks and text analysis identify anxiety as a key dimension of psychological distress in suicide notes

Swanson, T., Teixeira, A. S., Richson, B. N., Li, Y., Hills, T., Forbush, K. T., et al. (2023). Cognitive networks and text analysis identify anxiety as a key dimension of psychological distress in suicide notes. PsyArXiv, December 28, 2023.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000E-1983-2 Version Permalink: https://hdl.handle.net/21.11116/0000-000E-1986-F

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Suicide_Notes_Words_Not_Said.pdf (Preprint), 888KB

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https://doi.org/10.31234/osf.io/m2k67 (Preprint) Open Access Green

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Creators:
Swanson, Trevor, Author
Teixeira, Andreia Sofia, Author
Richson, Brianne N., Author
Li, Ying¹, Author
Hills, Thomas, Author
Forbush, Kelsie T., Author
Watson, David, Author
Ciringione, Luciana, Author
Stella, Massimo, Author

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1Center for Adaptive Rationality, Max Planck Institute for Human Development, Max Planck Society, ou_2074286

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Language(s): eng - English

Dates: Date issued: 2023-12-28

Publication Status: Issued

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Rev. Type: No review

Identifiers: DOI: 10.31234/osf.io/m2k67

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Title: PsyArXiv

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Pages: - Volume / Issue: - Sequence Number: December 28, 2023 Start / End Page: - Identifier: -