@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://preview.aclanthology.org/ingest-eacl/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."
}