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Understanding information behavior of South Korean Twitter users who express suicidality on Twitter
OBJECTIVE: Although there were few studies on how suicidal users behave on Twitter, they only investigated partial aspects such as tweeting frequency and tweet length. Therefore, we aim to understand the various information behavior of suicidal users in South Korea. METHODS: To achieve this goal, we...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8943454/ https://www.ncbi.nlm.nih.gov/pubmed/35340901 http://dx.doi.org/10.1177/20552076221086339 |
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author | Kim, Donghun Jung, Woojin Nam, Seojin Jeon, Hongjin Baek, Jihyun Zhu, Yongjun |
author_facet | Kim, Donghun Jung, Woojin Nam, Seojin Jeon, Hongjin Baek, Jihyun Zhu, Yongjun |
author_sort | Kim, Donghun |
collection | PubMed |
description | OBJECTIVE: Although there were few studies on how suicidal users behave on Twitter, they only investigated partial aspects such as tweeting frequency and tweet length. Therefore, we aim to understand the various information behavior of suicidal users in South Korea. METHODS: To achieve this goal, we annotated 20,000 tweets and identified 1097 tweets with the expression of suicidality (i.e. suicidal tweets) and 229 suicidal users (i.e. experimental group). Using the data, a user profile analysis, comparative analysis with control group, and tweets/hashtags analysis were performed. RESULTS: Our results show that many suicidal users used suicide-related keywords in their user IDs, usernames, descriptions, and pinned tweets. We also found that, compared to the control group, the experimental group show different patterns of information behavior. The experimental group did not frequently use Twitter and, on average, wrote longer texts than the control group. A clear seasonal pattern was also identified in the experimental group's tweeting behavior. Frequently used keywords/hashtags were extracted from tweets written by the experimental group for the purpose of understanding their concerns and detecting more suicidal tweets. CONCLUSIONS: We believe that our study will help in the understanding of suicidal users’ information behavior on social media and lay the basis for more accurate actions for suicide prevention and early intervention on social media. |
format | Online Article Text |
id | pubmed-8943454 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-89434542022-03-25 Understanding information behavior of South Korean Twitter users who express suicidality on Twitter Kim, Donghun Jung, Woojin Nam, Seojin Jeon, Hongjin Baek, Jihyun Zhu, Yongjun Digit Health Original Research OBJECTIVE: Although there were few studies on how suicidal users behave on Twitter, they only investigated partial aspects such as tweeting frequency and tweet length. Therefore, we aim to understand the various information behavior of suicidal users in South Korea. METHODS: To achieve this goal, we annotated 20,000 tweets and identified 1097 tweets with the expression of suicidality (i.e. suicidal tweets) and 229 suicidal users (i.e. experimental group). Using the data, a user profile analysis, comparative analysis with control group, and tweets/hashtags analysis were performed. RESULTS: Our results show that many suicidal users used suicide-related keywords in their user IDs, usernames, descriptions, and pinned tweets. We also found that, compared to the control group, the experimental group show different patterns of information behavior. The experimental group did not frequently use Twitter and, on average, wrote longer texts than the control group. A clear seasonal pattern was also identified in the experimental group's tweeting behavior. Frequently used keywords/hashtags were extracted from tweets written by the experimental group for the purpose of understanding their concerns and detecting more suicidal tweets. CONCLUSIONS: We believe that our study will help in the understanding of suicidal users’ information behavior on social media and lay the basis for more accurate actions for suicide prevention and early intervention on social media. SAGE Publications 2022-03-21 /pmc/articles/PMC8943454/ /pubmed/35340901 http://dx.doi.org/10.1177/20552076221086339 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Research Kim, Donghun Jung, Woojin Nam, Seojin Jeon, Hongjin Baek, Jihyun Zhu, Yongjun Understanding information behavior of South Korean Twitter users who express suicidality on Twitter |
title | Understanding information behavior of South Korean Twitter users who
express suicidality on Twitter |
title_full | Understanding information behavior of South Korean Twitter users who
express suicidality on Twitter |
title_fullStr | Understanding information behavior of South Korean Twitter users who
express suicidality on Twitter |
title_full_unstemmed | Understanding information behavior of South Korean Twitter users who
express suicidality on Twitter |
title_short | Understanding information behavior of South Korean Twitter users who
express suicidality on Twitter |
title_sort | understanding information behavior of south korean twitter users who
express suicidality on twitter |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8943454/ https://www.ncbi.nlm.nih.gov/pubmed/35340901 http://dx.doi.org/10.1177/20552076221086339 |
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