Use of Formal Ethical Reviews in NLP Literature: Historical Trends and Current Practices

Ethical aspects of research in language technologies have received much\nattention recently. It is a standard practice to get a study involving human\nsubjects reviewed and approved by a professional ethics committee/board of the\ninstitution. How commonly do we see mention of ethical approvals in NLP\nresearch? What types of research or aspects of studies are usually subject to\nsuch reviews? With the rising concerns and discourse around the ethics of NLP,\ndo we also observe a rise in formal ethical reviews of NLP studies? And, if so,\nwould this imply that there is a heightened awareness of ethical issues that\nwas previously lacking? We aim to address these questions by conducting a\ndetailed quantitative and qualitative analysis of the ACL Anthology, as well as\ncomparing the trends in our field to those of other related disciplines, such\nas cognitive science, machine learning, data mining, and systems.\n

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