Revealing semantic and emotional structure of suicide notes with cognitive network science

Abstract Understanding how people who commit suicide perceive their cognitive states and emotions represents an important open scientific challenge. We build upon cognitive network science, psycholinguistics and semantic frame theory to introduce a network representation of suicidal ideation as expr...

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Main Authors: Andreia Sofia Teixeira, Szymon Talaga, Trevor James Swanson, Massimo Stella
Format: Article
Language:English
Published: Nature Publishing Group 2021-09-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-98147-w
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spelling doaj-e69c61b1f19845f8a4ddae2f8d6b25252021-10-03T11:36:07ZengNature Publishing GroupScientific Reports2045-23222021-09-0111111510.1038/s41598-021-98147-wRevealing semantic and emotional structure of suicide notes with cognitive network scienceAndreia Sofia Teixeira0Szymon Talaga1Trevor James Swanson2Massimo Stella3LASIGE, Departamento de Informática, Faculdade de Ciências, Universidade de LisboaRobert Zajonc Institute for Social Studies, University of WarsawDepartment of Psychology, University of KansasCogNosco Lab, Department of Computer Science, University of ExeterAbstract Understanding how people who commit suicide perceive their cognitive states and emotions represents an important open scientific challenge. We build upon cognitive network science, psycholinguistics and semantic frame theory to introduce a network representation of suicidal ideation as expressed in multiple suicide notes. By reconstructing the knowledge structure of such notes, we reveal interconnections between the ideas and emotional states of people who committed suicide through an analysis of emotional balance motivated by structural balance theory, semantic prominence and emotional profiling. Our results indicate that connections between positively- and negatively-valenced terms give rise to a degree of balance that is significantly higher than in a null model where the affective structure is randomized and in a linguistic baseline model capturing mind-wandering in absence of suicidal ideation. We show that suicide notes are affectively compartmentalized such that positive concepts tend to cluster together and dominate the overall network structure. Notably, this positive clustering diverges from perceptions of self, which are found to be dominated by negative, sad conceptual associations in analyses based on subject-verb-object relationships and emotional profiling. A key positive concept is “love”, which integrates information relating the self to others and is semantically prominent across suicide notes. The emotions constituting the semantic frame of “love” combine joy and trust with anticipation and sadness, which can be linked to psychological theories of meaning-making as well as narrative psychology. Our results open new ways for understanding the structure of genuine suicide notes and may be used to inform future research on suicide prevention.https://doi.org/10.1038/s41598-021-98147-w
collection DOAJ
language English
format Article
sources DOAJ
author Andreia Sofia Teixeira
Szymon Talaga
Trevor James Swanson
Massimo Stella
spellingShingle Andreia Sofia Teixeira
Szymon Talaga
Trevor James Swanson
Massimo Stella
Revealing semantic and emotional structure of suicide notes with cognitive network science
Scientific Reports
author_facet Andreia Sofia Teixeira
Szymon Talaga
Trevor James Swanson
Massimo Stella
author_sort Andreia Sofia Teixeira
title Revealing semantic and emotional structure of suicide notes with cognitive network science
title_short Revealing semantic and emotional structure of suicide notes with cognitive network science
title_full Revealing semantic and emotional structure of suicide notes with cognitive network science
title_fullStr Revealing semantic and emotional structure of suicide notes with cognitive network science
title_full_unstemmed Revealing semantic and emotional structure of suicide notes with cognitive network science
title_sort revealing semantic and emotional structure of suicide notes with cognitive network science
publisher Nature Publishing Group
series Scientific Reports
issn 2045-2322
publishDate 2021-09-01
description Abstract Understanding how people who commit suicide perceive their cognitive states and emotions represents an important open scientific challenge. We build upon cognitive network science, psycholinguistics and semantic frame theory to introduce a network representation of suicidal ideation as expressed in multiple suicide notes. By reconstructing the knowledge structure of such notes, we reveal interconnections between the ideas and emotional states of people who committed suicide through an analysis of emotional balance motivated by structural balance theory, semantic prominence and emotional profiling. Our results indicate that connections between positively- and negatively-valenced terms give rise to a degree of balance that is significantly higher than in a null model where the affective structure is randomized and in a linguistic baseline model capturing mind-wandering in absence of suicidal ideation. We show that suicide notes are affectively compartmentalized such that positive concepts tend to cluster together and dominate the overall network structure. Notably, this positive clustering diverges from perceptions of self, which are found to be dominated by negative, sad conceptual associations in analyses based on subject-verb-object relationships and emotional profiling. A key positive concept is “love”, which integrates information relating the self to others and is semantically prominent across suicide notes. The emotions constituting the semantic frame of “love” combine joy and trust with anticipation and sadness, which can be linked to psychological theories of meaning-making as well as narrative psychology. Our results open new ways for understanding the structure of genuine suicide notes and may be used to inform future research on suicide prevention.
url https://doi.org/10.1038/s41598-021-98147-w
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