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...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-11-01
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| Series: | Frontiers in Research Metrics and Analytics |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/frma.2023.1243407/full |
| _version_ | 1827773568860028928 |
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| author | Tatsawan Timakum Qing Xie Soobin Lee |
| author_facet | Tatsawan Timakum Qing Xie Soobin Lee |
| author_sort | Tatsawan Timakum |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-11T13:24:44Z |
| format | Article |
| id | doaj.art-a239b33bfe3a47df8faf81805b88279b |
| institution | Directory Open Access Journal |
| issn | 2504-0537 |
| language | English |
| last_indexed | 2024-03-11T13:24:44Z |
| publishDate | 2023-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Research Metrics and Analytics |
| spelling | doaj.art-a239b33bfe3a47df8faf81805b88279b2023-11-03T09:31:54ZengFrontiers Media S.A.Frontiers in Research Metrics and Analytics2504-05372023-11-01810.3389/frma.2023.12434071243407Identifying mental health discussion topic in social media community: subreddit of bipolar disorder analysisTatsawan Timakum0Qing Xie1Soobin Lee2Department of Information Science, Chiang Mai Rajabhat University, Chiang Mai, ThailandSchool of Management, Shenzhen Polytechnic, Shenzhen, Guangdong, ChinaDepartment of Library and Information Science, Yonsei University, Seoul, Republic of KoreaOnline 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.https://www.frontiersin.org/articles/10.3389/frma.2023.1243407/fullbipolarmental disordersentiment analysistopic modelingnetwork analysissocial media data |
| spellingShingle | Tatsawan Timakum Qing Xie Soobin Lee Identifying mental health discussion topic in social media community: subreddit of bipolar disorder analysis Frontiers in Research Metrics and Analytics bipolar mental disorder sentiment analysis topic modeling network analysis social media data |
| 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 | bipolar mental disorder sentiment analysis topic modeling network analysis social media data |
| url | https://www.frontiersin.org/articles/10.3389/frma.2023.1243407/full |
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