Conference proceeding
Loneliness Detection from Social Media: A Text Analytics Approach
Proceedings of the Annual Hawaii International Conference on System Sciences, pp.3772-3779
2025
Abstract
In an era where digital interactions significantly influence our social interactions, understanding how loneliness is expressed online becomes paramount. This study delves into the linguistic representation of loneliness on Reddit, utilizing techniques in natural language processing (NLP) and machine learning. By employing frequency-based, similarity-based, and association-based methods, a unified lexicon was generated, demonstrating promising performance in classifying loneliness-related posts. The identification and validation of 536 most impactful entries from this lexicon underscore their predictive power and genuine relevance as markers of loneliness. This research advances our comprehension of loneliness within digital contexts and underscores the potential of computational methods in detecting and addressing loneliness online. The identified lexicon lays the groundwork for AI-driven mental health interventions, underscoring the significance of language in understanding and addressing loneliness in the digital age.
Details
- Title: Subtitle
- Loneliness Detection from Social Media: A Text Analytics Approach
- Creators
- Winston Fan - West Senior High School, United StatesJonathan Fan - Yale UniversityJiyuan Yu - University of Iowa, United StatesMin Zhang - Communication University of ChinaQianzhou Du - University of Science and Technology of ChinaLing Tong - University of Iowa, United StatesWeiguo Fan - University of Iowa
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of the Annual Hawaii International Conference on System Sciences, pp.3772-3779
- ISSN
- 1530-1605
- eISSN
- 1530-1605
- Language
- English
- Date published
- 2025
- Academic Unit
- Business Analytics
- Record Identifier
- 9984824184202771
Metrics
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