Words play a central role in how we express ourselves. Lexicons of word-emotion associations are widely used in research and real-world applications for sentiment analysis, tracking emotions associated with products and policies, studying health disorders, tracking emotional arcs of stories, and so on. However, inappropriate and incorrect use of these lexicons can lead to not just sub-optimal results, but also inferences that are directly harmful to people. This paper brings together ideas from Affective Computing and AI Ethics to present, some of the practical and ethical considerations involved in the creation and use of emotion lexicons -- best practices. The goal is to provide a comprehensive set of relevant considerations, so that readers (especially those new to work with emotions) can find relevant information in one place. We hope this work will facilitate more thoughtfulness when one is deciding on what emotions to work on, how to create an emotion lexicon, how to use an emotion lexicon, how to draw meaningful inferences, and how to judge success.

翻译：词汇在我们表达自我的过程中扮演着核心角色。词-情感关联词典被广泛应用于研究与实际应用中，包括情感分析、跟踪产品与政策相关的情感、研究健康障碍、追踪故事的戏剧弧线等。然而，对这些词典的不当及错误使用不仅会导致次优结果，还会产生直接危害人类的推论。本文融合情感计算与人工智能伦理的理念，阐述了情感词典创建与使用过程中涉及的部分实践及伦理考量——即最佳实践。旨在提供一套全面的相关考量，使读者（尤其是初涉情感研究的人员）能在同一处获取相关信息。我们希望这项工作能促使人们在决定研究何种情感、如何创建情感词典、如何使用情感词典、如何得出有意义的推论以及如何评判成功时，更加深思熟虑。