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<p>Children-related online interactions, typically associated with linguistic resources for attitudinal meanings, often reflect evaluative constructions as interactants raise awareness of children’s well-being; but how online interactants use language to raise such awareness has been less studied. This study examines the strategic use of deontic modality in evaluating obligations in children-related X (Twitter) interactions. Data for the study were part of a larger project corpus of 285,015 tweets with 2,819,696 tokens collected between July 2023 and July 2024 using the Apify Twitter Scraper. The study adopted a mixed of corpus-based methodologies and qualitative discourse analysis (QDA) as data were coded and sorted using Laurence Anthony’s AntConc. For the corpus-based method, a keyness analysis, which highlighted deontic modality elements, <i>should</i> and <i>must</i>, as keywords and KIWC were done as well as the manual sorting of the data. Martin and White (The language of evaluation: Appraisal in English, Palgrave Macmillan, 2005) Appraisal framework foregrounds the QDA. Findings reveal implicit and explicit evaluative constructions manifesting individual, parental, institutional, and societal obligations in domains bordering on trafficking, assault, killing, education, health, and indoctrination. These deontic obligations were constructed through inscribed and evoked strategies as online participants evaluate social sanction of capacity and morality, social esteem of veracity, and appreciation of valuation; thereby strongly condemning, and calling for actions and accountability from individuals, groups, and institutions within the social context of leadership on children’s well-being.</p>

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Deontic Modality and Evaluation of Obligations in Children-related X (Twitter) Interactions

  • 期刊论文

  • 发表日期：

    2025年5月10日

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  • Ezekiel Opeyemi Olajimbiti

摘要

Children-related online interactions, typically associated with linguistic resources for attitudinal meanings, often reflect evaluative constructions as interactants raise awareness of children’s well-being; but how online interactants use language to raise such awareness has been less studied. This study examines the strategic use of deontic modality in evaluating obligations in children-related X (Twitter) interactions. Data for the study were part of a larger project corpus of 285,015 tweets with 2,819,696 tokens collected between July 2023 and July 2024 using the Apify Twitter Scraper. The study adopted a mixed of corpus-based methodologies and qualitative discourse analysis (QDA) as data were coded and sorted using Laurence Anthony’s AntConc. For the corpus-based method, a keyness analysis, which highlighted deontic modality elements, should and must, as keywords and KIWC were done as well as the manual sorting of the data. Martin and White (The language of evaluation: Appraisal in English, Palgrave Macmillan, 2005) Appraisal framework foregrounds the QDA. Findings reveal implicit and explicit evaluative constructions manifesting individual, parental, institutional, and societal obligations in domains bordering on trafficking, assault, killing, education, health, and indoctrination. These deontic obligations were constructed through inscribed and evoked strategies as online participants evaluate social sanction of capacity and morality, social esteem of veracity, and appreciation of valuation; thereby strongly condemning, and calling for actions and accountability from individuals, groups, and institutions within the social context of leadership on children’s well-being.