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| Natura: | Preprint |
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2025
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| Soggetti: | |
| Accesso online: | https://arxiv.org/abs/2505.22327 |
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| _version_ | 1866918299152941056 |
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| author | Karamolegkou, Antonia Borah, Angana Cho, Eunjung Choudhury, Sagnik Ray Galletti, Martina Gupta, Pranav Ignat, Oana Kargupta, Priyanka Kotonya, Neema Lamba, Hemank Lee, Sun-Joo Mangla, Arushi Mondal, Ishani Moudakir, Fatima Zahra Nazarova, Deniz Nemkova, Poli Pisarevskaya, Dina Rizwan, Naquee Sabri, Nazanin Samway, Keenan Stammbach, Dominik Steinberg, Anna Tomás, David Wilson, Steven R Yi, Bowen Zhu, Jessica H Zubiaga, Arkaitz Søgaard, Anders Fraser, Alexander Jin, Zhijing Mihalcea, Rada Tetreault, Joel R. Dementieva, Daryna |
| author_facet | Karamolegkou, Antonia Borah, Angana Cho, Eunjung Choudhury, Sagnik Ray Galletti, Martina Gupta, Pranav Ignat, Oana Kargupta, Priyanka Kotonya, Neema Lamba, Hemank Lee, Sun-Joo Mangla, Arushi Mondal, Ishani Moudakir, Fatima Zahra Nazarova, Deniz Nemkova, Poli Pisarevskaya, Dina Rizwan, Naquee Sabri, Nazanin Samway, Keenan Stammbach, Dominik Steinberg, Anna Tomás, David Wilson, Steven R Yi, Bowen Zhu, Jessica H Zubiaga, Arkaitz Søgaard, Anders Fraser, Alexander Jin, Zhijing Mihalcea, Rada Tetreault, Joel R. Dementieva, Daryna |
| contents | Natural language processing (NLP) now shapes many aspects of our world, yet its potential for positive social impact is underexplored. This paper surveys work in ``NLP for Social Good" (NLP4SG) across nine domains relevant to global development and risk agendas, summarizing principal tasks and challenges. We analyze ACL Anthology trends, finding that inclusion and AI harms attract the most research, while domains such as poverty, peacebuilding, and environmental protection remain underexplored. Guided by our review, we outline opportunities for responsible and equitable NLP and conclude with a call for cross-disciplinary partnerships and human-centered approaches to ensure that future NLP technologies advance the public good. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_22327 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | NLP for Social Good: A Survey and Outlook of Challenges, Opportunities, and Responsible Deployment Karamolegkou, Antonia Borah, Angana Cho, Eunjung Choudhury, Sagnik Ray Galletti, Martina Gupta, Pranav Ignat, Oana Kargupta, Priyanka Kotonya, Neema Lamba, Hemank Lee, Sun-Joo Mangla, Arushi Mondal, Ishani Moudakir, Fatima Zahra Nazarova, Deniz Nemkova, Poli Pisarevskaya, Dina Rizwan, Naquee Sabri, Nazanin Samway, Keenan Stammbach, Dominik Steinberg, Anna Tomás, David Wilson, Steven R Yi, Bowen Zhu, Jessica H Zubiaga, Arkaitz Søgaard, Anders Fraser, Alexander Jin, Zhijing Mihalcea, Rada Tetreault, Joel R. Dementieva, Daryna Computation and Language Computers and Society Natural language processing (NLP) now shapes many aspects of our world, yet its potential for positive social impact is underexplored. This paper surveys work in ``NLP for Social Good" (NLP4SG) across nine domains relevant to global development and risk agendas, summarizing principal tasks and challenges. We analyze ACL Anthology trends, finding that inclusion and AI harms attract the most research, while domains such as poverty, peacebuilding, and environmental protection remain underexplored. Guided by our review, we outline opportunities for responsible and equitable NLP and conclude with a call for cross-disciplinary partnerships and human-centered approaches to ensure that future NLP technologies advance the public good. |
| title | NLP for Social Good: A Survey and Outlook of Challenges, Opportunities, and Responsible Deployment |
| topic | Computation and Language Computers and Society |
| url | https://arxiv.org/abs/2505.22327 |