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    <abstract>Empowering language is important in many real-world contexts, from education to workplace dynamics to healthcare. Though language technologies are growing more prevalent in these contexts, empowerment has seldom been studied in NLP, and moreover, it is inherently challenging to operationalize because of its implicit nature. This work builds from linguistic and social psychology literature to explore what characterizes empowering language. We then crowdsource a novel dataset of Reddit posts labeled for empowerment, reasons why these posts are empowering to readers, and the social relationships between posters and readers. Our preliminary analyses show that this dataset, which we call TalkUp, can be used to train language models that capture empowering and disempowering language. More broadly, TalkUp provides an avenue to explore implication, presuppositions, and how social context influences the meaning of language.</abstract>
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%0 Conference Proceedings
%T TalkUp: Paving the Way for Understanding Empowering Language
%A Njoo, Lucille
%A Park, Chan
%A Stappart, Octavia
%A Thielk, Marvin
%A Chu, Yi
%A Tsvetkov, Yulia
%Y Bouamor, Houda
%Y Pino, Juan
%Y Bali, Kalika
%S Findings of the Association for Computational Linguistics: EMNLP 2023
%D 2023
%8 December
%I Association for Computational Linguistics
%C Singapore
%F njoo-etal-2023-talkup
%X Empowering language is important in many real-world contexts, from education to workplace dynamics to healthcare. Though language technologies are growing more prevalent in these contexts, empowerment has seldom been studied in NLP, and moreover, it is inherently challenging to operationalize because of its implicit nature. This work builds from linguistic and social psychology literature to explore what characterizes empowering language. We then crowdsource a novel dataset of Reddit posts labeled for empowerment, reasons why these posts are empowering to readers, and the social relationships between posters and readers. Our preliminary analyses show that this dataset, which we call TalkUp, can be used to train language models that capture empowering and disempowering language. More broadly, TalkUp provides an avenue to explore implication, presuppositions, and how social context influences the meaning of language.
%R 10.18653/v1/2023.findings-emnlp.625
%U https://aclanthology.org/2023.findings-emnlp.625
%U https://doi.org/10.18653/v1/2023.findings-emnlp.625
%P 9334-9354

Markdown (Informal)

[TalkUp: Paving the Way for Understanding Empowering Language](https://aclanthology.org/2023.findings-emnlp.625) (Njoo et al., Findings 2023)

• TalkUp: Paving the Way for Understanding Empowering Language (Njoo et al., Findings 2023)

ACL

• Lucille Njoo, Chan Park, Octavia Stappart, Marvin Thielk, Yi Chu, and Yulia Tsvetkov. 2023. TalkUp: Paving the Way for Understanding Empowering Language. In Findings of the Association for Computational Linguistics: EMNLP 2023, pages 9334–9354, Singapore. Association for Computational Linguistics.