@inproceedings{ivanova-etal-2026-voices,
title = "Voices of Freelance Professional Writers on {AI}: Limitations, Expectations, and Fears",
author = "Ivanova, Anastasia and
Fedorova, Natalia and
Artemova, Ekaterina",
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.2271/",
pages = "51642--51670",
ISBN = "979-8-89176-459-0",
abstract = "The rapid development of AI-driven tools, particularly large language models (LLMs), is reshaping professional writing. Still, key aspects of their adoption such as language support, ethics, and long-term impact on writers' voice and creativity remain underexplored. In this work, we carried out a questionnaire ($N = 301$) and an interactive task ($N = 36$) targeting freelance professional writers regularly using AI. We examined AI-assisted writing practices across 25+ languages, ethical concerns, and user expectations. Our findings reveal that adoption is shaped more by peer influence and professional outlook than demographics, that multilingual writers face both performance and perception barriers to equitable AI use, and that job security concerns are widespread and adoption-independent."
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<abstract>The rapid development of AI-driven tools, particularly large language models (LLMs), is reshaping professional writing. Still, key aspects of their adoption such as language support, ethics, and long-term impact on writers’ voice and creativity remain underexplored. In this work, we carried out a questionnaire (N = 301) and an interactive task (N = 36) targeting freelance professional writers regularly using AI. We examined AI-assisted writing practices across 25+ languages, ethical concerns, and user expectations. Our findings reveal that adoption is shaped more by peer influence and professional outlook than demographics, that multilingual writers face both performance and perception barriers to equitable AI use, and that job security concerns are widespread and adoption-independent.</abstract>
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%0 Conference Proceedings
%T Voices of Freelance Professional Writers on AI: Limitations, Expectations, and Fears
%A Ivanova, Anastasia
%A Fedorova, Natalia
%A Artemova, Ekaterina
%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 ivanova-etal-2026-voices
%X The rapid development of AI-driven tools, particularly large language models (LLMs), is reshaping professional writing. Still, key aspects of their adoption such as language support, ethics, and long-term impact on writers’ voice and creativity remain underexplored. In this work, we carried out a questionnaire (N = 301) and an interactive task (N = 36) targeting freelance professional writers regularly using AI. We examined AI-assisted writing practices across 25+ languages, ethical concerns, and user expectations. Our findings reveal that adoption is shaped more by peer influence and professional outlook than demographics, that multilingual writers face both performance and perception barriers to equitable AI use, and that job security concerns are widespread and adoption-independent.
%U https://aclanthology.org/2026.emnlp-main.2271/
%P 51642-51670
Markdown (Informal)
[Voices of Freelance Professional Writers on AI: Limitations, Expectations, and Fears](https://aclanthology.org/2026.emnlp-main.2271/) (Ivanova et al., EMNLP 2026)
ACL