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Identifying mental health discussion topic in social media community: subreddit of bipolar disorder analysis
Online platforms allow individuals to connect with others, share experiences, and find communities with similar interests, providing a sense of belonging and reducing feelings of isolation. Numerous previous studies examined the content of online health communities to gain insights into the sentimen...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10654961/ https://www.ncbi.nlm.nih.gov/pubmed/38025958 http://dx.doi.org/10.3389/frma.2023.1243407 |
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author | Timakum, Tatsawan Xie, Qing Lee, Soobin |
author_facet | Timakum, Tatsawan Xie, Qing Lee, Soobin |
author_sort | Timakum, Tatsawan |
collection | PubMed |
description | Online platforms allow individuals to connect with others, share experiences, and find communities with similar interests, providing a sense of belonging and reducing feelings of isolation. Numerous previous studies examined the content of online health communities to gain insights into the sentiments surrounding mental health conditions. However, there is a noticeable gap in the research landscape, as no study has specifically concentrated on conducting an in-depth analysis or providing a comprehensive visualization of Bipolar disorder. Therefore, this study aimed to address this gap by examining the Bipolar subreddit online community, where we collected 1,460,447 posts as plain text documents for analysis. By employing LDA topic modeling and sentiment analysis, we found that the Bipolar disorder online community on Reddit discussed various aspects of the condition, including symptoms, mood swings, diagnosis, and medication. Users shared personal experiences, challenges, and coping strategies, seeking support and connection. Discussions related to therapy and medication were prevalent, emphasizing the importance of finding suitable therapists and managing medication side effects. The online community serves as a platform for seeking help, advice, and information, highlighting the role of social support in managing bipolar disorder. This study enhances our understanding of individuals living with bipolar disorder and provides valuable insights and feedback for researchers developing mental health interventions. |
format | Online Article Text |
id | pubmed-10654961 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-106549612023-11-03 Identifying mental health discussion topic in social media community: subreddit of bipolar disorder analysis Timakum, Tatsawan Xie, Qing Lee, Soobin Front Res Metr Anal Research Metrics and Analytics Online platforms allow individuals to connect with others, share experiences, and find communities with similar interests, providing a sense of belonging and reducing feelings of isolation. Numerous previous studies examined the content of online health communities to gain insights into the sentiments surrounding mental health conditions. However, there is a noticeable gap in the research landscape, as no study has specifically concentrated on conducting an in-depth analysis or providing a comprehensive visualization of Bipolar disorder. Therefore, this study aimed to address this gap by examining the Bipolar subreddit online community, where we collected 1,460,447 posts as plain text documents for analysis. By employing LDA topic modeling and sentiment analysis, we found that the Bipolar disorder online community on Reddit discussed various aspects of the condition, including symptoms, mood swings, diagnosis, and medication. Users shared personal experiences, challenges, and coping strategies, seeking support and connection. Discussions related to therapy and medication were prevalent, emphasizing the importance of finding suitable therapists and managing medication side effects. The online community serves as a platform for seeking help, advice, and information, highlighting the role of social support in managing bipolar disorder. This study enhances our understanding of individuals living with bipolar disorder and provides valuable insights and feedback for researchers developing mental health interventions. Frontiers Media S.A. 2023-11-03 /pmc/articles/PMC10654961/ /pubmed/38025958 http://dx.doi.org/10.3389/frma.2023.1243407 Text en Copyright © 2023 Timakum, Xie and Lee. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Research Metrics and Analytics Timakum, Tatsawan Xie, Qing Lee, Soobin Identifying mental health discussion topic in social media community: subreddit of bipolar disorder analysis |
title | Identifying mental health discussion topic in social media community: subreddit of bipolar disorder analysis |
title_full | Identifying mental health discussion topic in social media community: subreddit of bipolar disorder analysis |
title_fullStr | Identifying mental health discussion topic in social media community: subreddit of bipolar disorder analysis |
title_full_unstemmed | Identifying mental health discussion topic in social media community: subreddit of bipolar disorder analysis |
title_short | Identifying mental health discussion topic in social media community: subreddit of bipolar disorder analysis |
title_sort | identifying mental health discussion topic in social media community: subreddit of bipolar disorder analysis |
topic | Research Metrics and Analytics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10654961/ https://www.ncbi.nlm.nih.gov/pubmed/38025958 http://dx.doi.org/10.3389/frma.2023.1243407 |
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