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Abstract
Recognizing and understanding the characteristics of suicidal posts on social media are crucial for early intervention and suicide prevention efforts. This study aims to comprehend various traits associated with suicidal posts on Reddit, a prominent social media platform. By analyzing user posts gathered from the Reddit forum ‘r/SuicideWatch’, we aim to scrutinize the various emotional and linguistic signals intertwined with suicidal content. Furthermore, we seek to identify some of the key factors contributing to the development of suicidal ideation. Our analysis reveals a substantially higher prevalence of negative emotions, particularly anger and sadness, in suicidal posts. Linguistic analysis uncovers several distinguishing signals associated with suicidal posts, such as a high presence of verbs and a significant frequency of negations. An initial content analysis reveals a diverse array of key factors, including social isolation, health issues, personal failures, and traumatic life events, among others. Overall, our investigation unveils diverse characteristics of suicidal posts and key factors contributing to suicidal ideation that can facilitate the automated detection of suicidal tendencies and support the implementation of effective preventive measures.
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Authors and Affiliations
Georgia Southern University, Statesboro, GA, USA
Salim Sazzed
University of Memphis, Memphis, TN, USA
Salim Sazzed
- Salim Sazzed
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Correspondence toSalim Sazzed.
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Editors and Affiliations
United States Military Academy, Army Cyber Institute, West Point, NY, USA
Robert Thomson
The University of the Cumberlands, Williamsburg, KY, USA
Aravind Hariharan
Carnegie Mellon University, Pittsburgh, PA, USA
Scott Renshaw
Creighton University, Omaha, NE, USA
Samer Al-khateeb
Oak Ridge National Laboratory, Oak Ridge, TN, USA
Annetta Burger
Carnegie Mellon University, Pittsburg, PA, USA
Patrick Park
Army Cyber Institute, West Point, NY, USA
Aryn Pyke
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Ethical Statement and Limitation
This study utilizes Reddit data that is openly accessible on Kaggle (https://www.kaggle.com/). The research ensures that no personal user information is gathered, utilized, or revealed throughout the analysis or subsequently. Since this study exclusively analyzes suicidal posts sourced from Reddit, there could be inherent bias in the dataset, as it is derived solely from one social media platform and may not capture the diversity of viewpoints and experiences present across other digital platforms.
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Sazzed, S. (2024). Deciphering Emotional and Linguistic Patterns in Reddit Suicidal Discourse. In: Thomson, R.,et al. Social, Cultural, and Behavioral Modeling. SBP-BRiMS 2024. Lecture Notes in Computer Science, vol 14972. Springer, Cham. https://doi.org/10.1007/978-3-031-72241-7_13
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