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Comparing social media engagement between women with suicidal ideation and those who have attempted suicide.

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Title: Comparing social media engagement between women with suicidal ideation and those who have attempted suicide.
Authors: Kim, Donghun (AUTHOR), Kim, Chohae (AUTHOR), Lee, Goeun (AUTHOR), Kim, Nareum (AUTHOR), Hwang, Chiwoong (AUTHOR), Back, Ji Hyun (AUTHOR), Zhu, Yongjun (AUTHOR)
Source: Death Studies. 2026, Vol. 50 Issue 7, p1183-1192. 10p.
Subjects: Suicide risk factors, Risk assessment, Suicidal ideation, Psychological distress, Statistical hypothesis testing, Research funding, Questionnaires, Psychology of women, Time series analysis, Emotions, Descriptive statistics, Suicidal behavior, Digital media, Job stress, Psychological stress, Twitter (Web resource), Comparative studies, Data analysis software, Media exposure, Blogs
Geographic Terms: South Korea
Abstract: This study examined differences in social media engagement between women with suicidal ideation only (SI-only) and those who had attempted suicide (SA). We used content, statistical, and time series analyses on 3,510 tweets from 41 women in South Korea who had ideated and/or attempted suicide. Most tweets focused on everyday life and interests (38.0%, 1,355 tweets), while others expressed mental health distress and challenges (0.6%, 22), school or work-related stress (3.4%, 120), social relationship stress (1.5%, 52), and explicit suicidal statements (0.6%, 22). SI-only users posted the most on Saturdays, while SA users peaked on Sundays. Closer to the time of suicide, SA users increasingly posted explicit suicidal content, whereas SI-only users expressed more negative emotions. Our findings could help identify individuals at risk of suicide on social media, distinguishing between SI-only and SA users to inform better interventions. [ABSTRACT FROM AUTHOR]
Copyright of Death Studies is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Comparing social media engagement between women with suicidal ideation and those who have attempted suicide.
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  Data: <searchLink fieldCode="AR" term="%22Kim%2C+Donghun%22">Kim, Donghun</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kim%2C+Chohae%22">Kim, Chohae</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lee%2C+Goeun%22">Lee, Goeun</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kim%2C+Nareum%22">Kim, Nareum</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hwang%2C+Chiwoong%22">Hwang, Chiwoong</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Back%2C+Ji+Hyun%22">Back, Ji Hyun</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhu%2C+Yongjun%22">Zhu, Yongjun</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Death+Studies%22">Death Studies</searchLink>. 2026, Vol. 50 Issue 7, p1183-1192. 10p.
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  Data: <searchLink fieldCode="DE" term="%22Suicide+risk+factors%22">Suicide risk factors</searchLink><br /><searchLink fieldCode="DE" term="%22Risk+assessment%22">Risk assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Suicidal+ideation%22">Suicidal ideation</searchLink><br /><searchLink fieldCode="DE" term="%22Psychological+distress%22">Psychological distress</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+hypothesis+testing%22">Statistical hypothesis testing</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Questionnaires%22">Questionnaires</searchLink><br /><searchLink fieldCode="DE" term="%22Psychology+of+women%22">Psychology of women</searchLink><br /><searchLink fieldCode="DE" term="%22Time+series+analysis%22">Time series analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Emotions%22">Emotions</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Suicidal+behavior%22">Suicidal behavior</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+media%22">Digital media</searchLink><br /><searchLink fieldCode="DE" term="%22Job+stress%22">Job stress</searchLink><br /><searchLink fieldCode="DE" term="%22Psychological+stress%22">Psychological stress</searchLink><br /><searchLink fieldCode="DE" term="%22Twitter+%28Web+resource%29%22">Twitter (Web resource)</searchLink><br /><searchLink fieldCode="DE" term="%22Comparative+studies%22">Comparative studies</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Media+exposure%22">Media exposure</searchLink><br /><searchLink fieldCode="DE" term="%22Blogs%22">Blogs</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22South+Korea%22">South Korea</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This study examined differences in social media engagement between women with suicidal ideation only (SI-only) and those who had attempted suicide (SA). We used content, statistical, and time series analyses on 3,510 tweets from 41 women in South Korea who had ideated and/or attempted suicide. Most tweets focused on everyday life and interests (38.0%, 1,355 tweets), while others expressed mental health distress and challenges (0.6%, 22), school or work-related stress (3.4%, 120), social relationship stress (1.5%, 52), and explicit suicidal statements (0.6%, 22). SI-only users posted the most on Saturdays, while SA users peaked on Sundays. Closer to the time of suicide, SA users increasingly posted explicit suicidal content, whereas SI-only users expressed more negative emotions. Our findings could help identify individuals at risk of suicide on social media, distinguishing between SI-only and SA users to inform better interventions. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Death Studies is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=194898215
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/07481187.2025.2487778
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 10
        StartPage: 1183
    Subjects:
      – SubjectFull: Suicide risk factors
        Type: general
      – SubjectFull: Risk assessment
        Type: general
      – SubjectFull: Suicidal ideation
        Type: general
      – SubjectFull: Psychological distress
        Type: general
      – SubjectFull: Statistical hypothesis testing
        Type: general
      – SubjectFull: Research funding
        Type: general
      – SubjectFull: Questionnaires
        Type: general
      – SubjectFull: Psychology of women
        Type: general
      – SubjectFull: Time series analysis
        Type: general
      – SubjectFull: Emotions
        Type: general
      – SubjectFull: Descriptive statistics
        Type: general
      – SubjectFull: Suicidal behavior
        Type: general
      – SubjectFull: Digital media
        Type: general
      – SubjectFull: Job stress
        Type: general
      – SubjectFull: Psychological stress
        Type: general
      – SubjectFull: Twitter (Web resource)
        Type: general
      – SubjectFull: Comparative studies
        Type: general
      – SubjectFull: Data analysis software
        Type: general
      – SubjectFull: Media exposure
        Type: general
      – SubjectFull: Blogs
        Type: general
      – SubjectFull: South Korea
        Type: general
    Titles:
      – TitleFull: Comparing social media engagement between women with suicidal ideation and those who have attempted suicide.
        Type: main
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            NameFull: Kim, Donghun
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            NameFull: Kim, Chohae
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            NameFull: Lee, Goeun
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            NameFull: Kim, Nareum
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            NameFull: Hwang, Chiwoong
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            NameFull: Back, Ji Hyun
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            NameFull: Zhu, Yongjun
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            – D: 01
              M: 08
              Text: 2026
              Type: published
              Y: 2026
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              Value: 07481187
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              Value: 50
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              Value: 7
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