ACL作者在非本社区期刊更倾向做社会向好的NLP研究
Good Intentions Beyond ACL: Who Does NLP for Social Good, and Where?
- 从作者和会议层面分析NLP4SG分布，发现跨社区发表更关注社会议题
- 近八成社会向好型NLP论文由非ACL作者在非ACL会议发表
- 揭示了学术圈内社会影响力布局的深层不均衡，适合政策制定者参考
自然语言处理的社会影响日益重要，近年来近20%的ACL文集论文涉及联合国可持续发展目标相关的社会向好议题（Adauto et al., 2023）。本文从作者与会议层面出发，量化分析了核心ACL贡献者与非ACL作者在ACL内外开展社会向好型NLP研究的比例。研究发现两个意外结果：其一，ACL作者在非ACL会议发表时，更倾向于从事社会向好研究；其二，绝大多数使用NLP解决社会议题的论文，均由非ACL作者在非ACL会议发表。这些发现对ACL社区在社会向好议题上的议程设定具有重要意义。
原文摘要 · Abstract (English)
The social impact of Natural Language Processing (NLP) is increasingly important, with a rising community focus on initiatives related to NLP for Social Good (NLP4SG). Indeed, in recent years, almost 20% of all papers in the ACL Anthology address topics related to social good as defined by the UN Sustainable Development Goals (Adauto et al., 2023). In this study, we take an author- and venue-level perspective to map the landscape of NLP4SG, quantifying the proportion of work addressing social good concerns both within and beyond the ACL community, by both core ACL contributors and non-ACL authors. With this approach we discover two surprising facts about the landscape of NLP4SG. First, ACL authors are dramatically more likely to do work addressing social good concerns when publishing in venues outside of ACL. Second, the vast majority of publications using NLP techniques to address concerns of social good are done by non-ACL authors in venues outside of ACL. We discuss the implications of these findings on agenda-setting considerations for the ACL community related to NLP4SG.
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