The Role of Emotions in Informational Support Question-Response Pairs in Online Health Communities: A Multimodal Deep Learning Approach
Fuente:
arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866913358424309760 |
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| author | Jozani, Mohsen Williams, Jason A. Aleroud, Ahmed Bhagat, Sarbottam |
| author_facet | Jozani, Mohsen Williams, Jason A. Aleroud, Ahmed Bhagat, Sarbottam |
| contents | This study explores the relationship between informational support seeking questions, responses, and helpfulness ratings in online health communities. We created a labeled data set of question-response pairs and developed multimodal machine learning and deep learning models to reliably predict informational support questions and responses. We employed explainable AI to reveal the emotions embedded in informational support exchanges, demonstrating the importance of emotion in providing informational support. This complex interplay between emotional and informational support has not been previously researched. The study refines social support theory and lays the groundwork for the development of user decision aids. Further implications are discussed. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_13099 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | The Role of Emotions in Informational Support Question-Response Pairs in Online Health Communities: A Multimodal Deep Learning Approach Jozani, Mohsen Williams, Jason A. Aleroud, Ahmed Bhagat, Sarbottam Artificial Intelligence Social and Information Networks H.4.3; I.2.7 This study explores the relationship between informational support seeking questions, responses, and helpfulness ratings in online health communities. We created a labeled data set of question-response pairs and developed multimodal machine learning and deep learning models to reliably predict informational support questions and responses. We employed explainable AI to reveal the emotions embedded in informational support exchanges, demonstrating the importance of emotion in providing informational support. This complex interplay between emotional and informational support has not been previously researched. The study refines social support theory and lays the groundwork for the development of user decision aids. Further implications are discussed. |
| title | The Role of Emotions in Informational Support Question-Response Pairs in Online Health Communities: A Multimodal Deep Learning Approach |
| topic | Artificial Intelligence Social and Information Networks H.4.3; I.2.7 |
| url | https://arxiv.org/abs/2405.13099 |