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        <title>Written Goodbyes: How Genre and Sociolinguistic Factors Influence the Content and Style of Suicide Notes</title>
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        <namePart type="given">Lucia</namePart>
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    <name type="personal">
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        <namePart type="given">Roberta</namePart>
        <namePart type="family">Combei</namePart>
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            <title>Proceedings of the 10th Italian Conference on Computational Linguistics (CLiC-it 2024)</title>
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        <name type="personal">
            <namePart type="given">Felice</namePart>
            <namePart type="family">Dell’Orletta</namePart>
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        <name type="personal">
            <namePart type="given">Alessandro</namePart>
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            <namePart type="given">Simonetta</namePart>
            <namePart type="family">Montemagni</namePart>
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    <abstract>The study analyses a novel corpus of 76 freely available English authentic suicide notes (SNs) (letters and social media posts), spanning from 1902 to 2023. By using computational and corpus linguistics, this research aims at decoding patterns of discourse, content, and emotions in SNs. In particular, we explore variation in linguistic features in SNs across sociolinguistic factors (age, gender, addressee, time period) and between genres (letter vs. post). To this end, we use topic models, subjectivity analysis, and sentiment and emotion analysis. Results highlight how both style, content, and emotion expression, show differences depending on genre, gender, age group and time period. We suggest a more nuanced approach to personalized prevention and intervention strategies based on insights from computer-assisted linguistic analysis.</abstract>
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%0 Conference Proceedings
%T Written Goodbyes: How Genre and Sociolinguistic Factors Influence the Content and Style of Suicide Notes
%A Busso, Lucia
%A Combei, Claudia Roberta
%Y Dell’Orletta, Felice
%Y Lenci, Alessandro
%Y Montemagni, Simonetta
%Y Sprugnoli, Rachele
%S Proceedings of the 10th Italian Conference on Computational Linguistics (CLiC-it 2024)
%D 2024
%8 December
%I CEUR Workshop Proceedings
%C Pisa, Italy
%@ 979-12-210-7060-6
%F busso-combei-2024-written
%X The study analyses a novel corpus of 76 freely available English authentic suicide notes (SNs) (letters and social media posts), spanning from 1902 to 2023. By using computational and corpus linguistics, this research aims at decoding patterns of discourse, content, and emotions in SNs. In particular, we explore variation in linguistic features in SNs across sociolinguistic factors (age, gender, addressee, time period) and between genres (letter vs. post). To this end, we use topic models, subjectivity analysis, and sentiment and emotion analysis. Results highlight how both style, content, and emotion expression, show differences depending on genre, gender, age group and time period. We suggest a more nuanced approach to personalized prevention and intervention strategies based on insights from computer-assisted linguistic analysis.
%U https://aclanthology.org/2024.clicit-1.15/
%P 114-121

Markdown (Informal)

[Written Goodbyes: How Genre and Sociolinguistic Factors Influence the Content and Style of Suicide Notes](https://aclanthology.org/2024.clicit-1.15/) (Busso & Combei, CLiC-it 2024)

• Written Goodbyes: How Genre and Sociolinguistic Factors Influence the Content and Style of Suicide Notes (Busso & Combei, CLiC-it 2024)

ACL

• Lucia Busso and Claudia Roberta Combei. 2024. Written Goodbyes: How Genre and Sociolinguistic Factors Influence the Content and Style of Suicide Notes. In Proceedings of the 10th Italian Conference on Computational Linguistics (CLiC-it 2024), pages 114–121, Pisa, Italy. CEUR Workshop Proceedings.