Loneliness Detection from Social Media: A Text Analytics Approach
dc.contributor.author | Fan, Winston | |
dc.contributor.author | Fan, Jonathan | |
dc.contributor.author | Yu, Jiyuan | |
dc.contributor.author | Zhang, Min | |
dc.contributor.author | Du, Qianzhou | |
dc.contributor.author | Tong, Ling | |
dc.contributor.author | Fan, Weiguo (Patrick) | |
dc.date.accessioned | 2024-12-26T21:07:31Z | |
dc.date.available | 2024-12-26T21:07:31Z | |
dc.date.issued | 2025-01-07 | |
dc.description.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. | |
dc.format.extent | 8 | |
dc.identifier.doi | 10.24251/HICSS.2025.454 | |
dc.identifier.isbn | 978-0-9981331-8-8 | |
dc.identifier.other | f8d5e430-2a85-433e-81c0-4322c27ba23b | |
dc.identifier.uri | https://hdl.handle.net/10125/109298 | |
dc.relation.ispartof | Proceedings of the 58th Hawaii International Conference on System Sciences | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.subject | Actors, Agents, and Avatars: Visualizing Digital Humans in E-Commerce and Social Media | |
dc.subject | design science, healthcare, lexicon, loneliness, machine learning, nlp | |
dc.title | Loneliness Detection from Social Media: A Text Analytics Approach | |
dc.type | Conference Paper | |
dc.type.dcmi | Text | |
prism.startingpage | 3769 |
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