@inproceedings{wilson-2026-nlp,
title = "{NLP} Meets the World: Toward Improving Conversations With News Media About Natural Language Processing Research",
author = "Wilson, Shomir",
editor = "Lee, Hung-Yi and
Dev, Sunipa and
Li, Jessy and
Elliott, Desmond",
booktitle = "Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing",
month = oct,
year = "2026",
address = "Budapest, Hungary",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.emnlp-main.1441/",
doi = "10.18653/2026.emnlp-main.1441",
pages = "32910--32917",
ISBN = "979-8-89176-459-0",
abstract = "Recent advances in large language models (LLMs) have rapidly increased the public{'}s interest in natural language processing (NLP). This attention is reflected by news outlets inviting NLP researchers to share their knowledge and views with public audiences. Recognizing the opportunities for the research field and for individual researchers, this paper shares recommendations for speaking with news media about NLP{'}s capabilities and limitations. Drawing on the topical structure of research communication frameworks published by the US National Academies of Sciences, Engineering, and Medicine and the European Union{'}s QUEST project, recommendations are provided for three field-appropriate communication challenges: cognitive terminology, unsustainable expectations, and ethical failures. Published NLP research and popular news coverage are cited to provide examples. The recommendations promote effective, transparent communication with the general public about NLP, in order to strengthen public understanding and encourage support for research."
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%0 Conference Proceedings
%T NLP Meets the World: Toward Improving Conversations With News Media About Natural Language Processing Research
%A Wilson, Shomir
%Y Lee, Hung-Yi
%Y Dev, Sunipa
%Y Li, Jessy
%Y Elliott, Desmond
%S Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing
%D 2026
%8 October
%I Association for Computational Linguistics
%C Budapest, Hungary
%@ 979-8-89176-459-0
%F wilson-2026-nlp
%X Recent advances in large language models (LLMs) have rapidly increased the public’s interest in natural language processing (NLP). This attention is reflected by news outlets inviting NLP researchers to share their knowledge and views with public audiences. Recognizing the opportunities for the research field and for individual researchers, this paper shares recommendations for speaking with news media about NLP’s capabilities and limitations. Drawing on the topical structure of research communication frameworks published by the US National Academies of Sciences, Engineering, and Medicine and the European Union’s QUEST project, recommendations are provided for three field-appropriate communication challenges: cognitive terminology, unsustainable expectations, and ethical failures. Published NLP research and popular news coverage are cited to provide examples. The recommendations promote effective, transparent communication with the general public about NLP, in order to strengthen public understanding and encourage support for research.
%R 10.18653/2026.emnlp-main.1441
%U https://aclanthology.org/2026.emnlp-main.1441/
%U https://doi.org/10.18653/2026.emnlp-main.1441
%P 32910-32917
Markdown (Informal)
[NLP Meets the World: Toward Improving Conversations With News Media About Natural Language Processing Research](https://aclanthology.org/2026.emnlp-main.1441/) (Wilson, EMNLP 2026)
ACL