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        <title>How-to Guides for Specific Audiences: A Corpus and Initial Findings</title>
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        <namePart type="given">Nicola</namePart>
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            <title>Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)</title>
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            <namePart type="given">Vishakh</namePart>
            <namePart type="family">Padmakumar</namePart>
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    <abstract>Instructional texts for specific target groups should ideally take into account the prior knowledge and needs of the readers in order to guide them efficiently to their desired goals. However, targeting specific groups also carries the risk of reflecting disparate social norms and subtle stereotypes. In this paper, we investigate the extent to which how-to guides from one particular platform, wikiHow, differ in practice depending on the intended audience. We conduct two case studies in which we examine qualitative features of texts written for specific audiences. In a generalization study, we investigate which differences can also be systematically demonstrated using computational methods. The results of our studies show that guides from wikiHow, like other text genres, are subject to subtle biases. We aim to raise awareness of these inequalities as a first step to addressing them in future work.</abstract>
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        <date>2023-07</date>
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%0 Conference Proceedings
%T How-to Guides for Specific Audiences: A Corpus and Initial Findings
%A Fanton, Nicola
%A Falenska, Agnieszka
%A Roth, Michael
%Y Padmakumar, Vishakh
%Y Vallejo, Gisela
%Y Fu, Yao
%S Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)
%D 2023
%8 July
%I Association for Computational Linguistics
%C Toronto, Canada
%F fanton-etal-2023-guides
%X Instructional texts for specific target groups should ideally take into account the prior knowledge and needs of the readers in order to guide them efficiently to their desired goals. However, targeting specific groups also carries the risk of reflecting disparate social norms and subtle stereotypes. In this paper, we investigate the extent to which how-to guides from one particular platform, wikiHow, differ in practice depending on the intended audience. We conduct two case studies in which we examine qualitative features of texts written for specific audiences. In a generalization study, we investigate which differences can also be systematically demonstrated using computational methods. The results of our studies show that guides from wikiHow, like other text genres, are subject to subtle biases. We aim to raise awareness of these inequalities as a first step to addressing them in future work.
%R 10.18653/v1/2023.acl-srw.46
%U https://aclanthology.org/2023.acl-srw.46
%U https://doi.org/10.18653/v1/2023.acl-srw.46
%P 321-333

Markdown (Informal)

[How-to Guides for Specific Audiences: A Corpus and Initial Findings](https://aclanthology.org/2023.acl-srw.46) (Fanton et al., ACL 2023)

• How-to Guides for Specific Audiences: A Corpus and Initial Findings (Fanton et al., ACL 2023)

ACL

• Nicola Fanton, Agnieszka Falenska, and Michael Roth. 2023. How-to Guides for Specific Audiences: A Corpus and Initial Findings. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop), pages 321–333, Toronto, Canada. Association for Computational Linguistics.