@inproceedings{karamolegkou-etal-2026-nlp,
title = "{NLP} for Social Good: A Survey and Outlook of Challenges, Opportunities and Responsible Deployment",
author = "Karamolegkou, Antonia and
Borah, Angana and
Cho, Eunjung and
Choudhury, Sagnik Ray and
Galletti, Martina and
Gupta, Pranav and
Ignat, Oana and
Kargupta, Priyanka and
Kotonya, Neema and
Lamba, Hemank and
Lee, Sun-Joo and
Mangla, Arushi and
Mondal, Ishani and
Moudakir, Fatima Zahra and
Nazar, Deniz and
Nemkova, Poli and
Pisarevskaya, Dina and
Rizwan, Naquee and
Sabri, Nazanin and
Samway, Keenan and
Stammbach, Dominik and
Schulten, Anna Steinberg and
Tom{\'a}s, David and
Wilson, Steven R and
Yi, Bowen and
Zhu, Jessica H and
Zubiaga, Arkaitz and
S{\o}gaard, Anders and
Fraser, Alexander and
Jin, Zhijing and
Mihalcea, Rada and
Tetreault, Joel R. and
Dementieva, Daryna",
editor = "Demberg, Vera and
Inui, Kentaro and
Marquez, Llu{\'i}s",
booktitle = "Proceedings of the 19th Conference of the {E}uropean Chapter of the {A}ssociation for {C}omputational {L}inguistics (Volume 1: Long Papers)",
month = mar,
year = "2026",
address = "Rabat, Morocco",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.eacl-long.238/",
pages = "5110--5170",
ISBN = "979-8-89176-380-7",
abstract = "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."
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<abstract>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.</abstract>
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%0 Conference Proceedings
%T NLP for Social Good: A Survey and Outlook of Challenges, Opportunities and Responsible Deployment
%A Karamolegkou, Antonia
%A Borah, Angana
%A Cho, Eunjung
%A Choudhury, Sagnik Ray
%A Galletti, Martina
%A Gupta, Pranav
%A Ignat, Oana
%A Kargupta, Priyanka
%A Kotonya, Neema
%A Lamba, Hemank
%A Lee, Sun-Joo
%A Mangla, Arushi
%A Mondal, Ishani
%A Moudakir, Fatima Zahra
%A Nazar, Deniz
%A Nemkova, Poli
%A Pisarevskaya, Dina
%A Rizwan, Naquee
%A Sabri, Nazanin
%A Samway, Keenan
%A Stammbach, Dominik
%A Schulten, Anna Steinberg
%A Tomás, David
%A Wilson, Steven R.
%A Yi, Bowen
%A Zhu, Jessica H.
%A Zubiaga, Arkaitz
%A Søgaard, Anders
%A Fraser, Alexander
%A Jin, Zhijing
%A Mihalcea, Rada
%A Tetreault, Joel R.
%A Dementieva, Daryna
%Y Demberg, Vera
%Y Inui, Kentaro
%Y Marquez, Lluís
%S Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
%D 2026
%8 March
%I Association for Computational Linguistics
%C Rabat, Morocco
%@ 979-8-89176-380-7
%F karamolegkou-etal-2026-nlp
%X 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.
%U https://aclanthology.org/2026.eacl-long.238/
%P 5110-5170
Markdown (Informal)
[NLP for Social Good: A Survey and Outlook of Challenges, Opportunities and Responsible Deployment](https://aclanthology.org/2026.eacl-long.238/) (Karamolegkou et al., EACL 2026)
ACL
- Antonia Karamolegkou, Angana Borah, Eunjung Cho, Sagnik Ray Choudhury, Martina Galletti, Pranav Gupta, Oana Ignat, Priyanka Kargupta, Neema Kotonya, Hemank Lamba, Sun-Joo Lee, Arushi Mangla, Ishani Mondal, Fatima Zahra Moudakir, Deniz Nazar, Poli Nemkova, Dina Pisarevskaya, Naquee Rizwan, Nazanin Sabri, Keenan Samway, Dominik Stammbach, Anna Steinberg Schulten, David Tomás, Steven R Wilson, Bowen Yi, Jessica H Zhu, Arkaitz Zubiaga, Anders Søgaard, Alexander Fraser, Zhijing Jin, Rada Mihalcea, Joel R. Tetreault, and Daryna Dementieva. 2026. NLP for Social Good: A Survey and Outlook of Challenges, Opportunities and Responsible Deployment. In Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 5110–5170, Rabat, Morocco. Association for Computational Linguistics.