Infrastructure Ombudsman: Mining Future Failure Concerns from Structural Disaster Response
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arXiv
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| Hauptverfasser: | , , , |
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| Format: | Preprint |
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2024
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| author | Chowdhury, Md Towhidul Absar Datta, Soumyajit Sharma, Naveen KhudaBukhsh, Ashiqur R. |
| author_facet | Chowdhury, Md Towhidul Absar Datta, Soumyajit Sharma, Naveen KhudaBukhsh, Ashiqur R. |
| contents | Current research concentrates on studying discussions on social media related to structural failures to improve disaster response strategies. However, detecting social web posts discussing concerns about anticipatory failures is under-explored. If such concerns are channeled to the appropriate authorities, it can aid in the prevention and mitigation of potential infrastructural failures. In this paper, we develop an infrastructure ombudsman -- that automatically detects specific infrastructure concerns. Our work considers several recent structural failures in the US. We present a first-of-its-kind dataset of 2,662 social web instances for this novel task mined from Reddit and YouTube. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_13528 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Infrastructure Ombudsman: Mining Future Failure Concerns from Structural Disaster Response Chowdhury, Md Towhidul Absar Datta, Soumyajit Sharma, Naveen KhudaBukhsh, Ashiqur R. Computers and Society Computation and Language Machine Learning Social and Information Networks Current research concentrates on studying discussions on social media related to structural failures to improve disaster response strategies. However, detecting social web posts discussing concerns about anticipatory failures is under-explored. If such concerns are channeled to the appropriate authorities, it can aid in the prevention and mitigation of potential infrastructural failures. In this paper, we develop an infrastructure ombudsman -- that automatically detects specific infrastructure concerns. Our work considers several recent structural failures in the US. We present a first-of-its-kind dataset of 2,662 social web instances for this novel task mined from Reddit and YouTube. |
| title | Infrastructure Ombudsman: Mining Future Failure Concerns from Structural Disaster Response |
| topic | Computers and Society Computation and Language Machine Learning Social and Information Networks |
| url | https://arxiv.org/abs/2402.13528 |