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    <abstract>Inclusion, as one of the foundations in the diversity, equity, and inclusion initiative, concerns the degree of being treated as an ingroup member in a workplace. Despite of its importance in a corporate‘s ecosystem, the inclusion strategies and its performance are not adequately addressed in corporate social responsibility (CSR) and CSR reporting. This study proposes a machine learning and big data-based model to examine inclusion through the use of stereotype content in actual language use. The distribution of the stereotype content in general corpora of a given society is utilized as a baseline, with which texts about corporate texts are compared. This study not only propose a model to identify and classify inclusion in language use, but also provides insights to measure and track progress by including inclusion in CSR reports as a strategy to build an inclusive corporate team.</abstract>
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%0 Conference Proceedings
%T Inclusion in CSR Reports: The Lens from a Data-Driven Machine Learning Model
%A Lu, Lu
%A Gu, Jinghang
%A Huang, Chu-Ren
%Y Wan, Mingyu
%Y Huang, Chu-Ren
%S Proceedings of the First Computing Social Responsibility Workshop within the 13th Language Resources and Evaluation Conference
%D 2022
%8 June
%I European Language Resources Association
%C Marseille, France
%F lu-etal-2022-inclusion
%X Inclusion, as one of the foundations in the diversity, equity, and inclusion initiative, concerns the degree of being treated as an ingroup member in a workplace. Despite of its importance in a corporate‘s ecosystem, the inclusion strategies and its performance are not adequately addressed in corporate social responsibility (CSR) and CSR reporting. This study proposes a machine learning and big data-based model to examine inclusion through the use of stereotype content in actual language use. The distribution of the stereotype content in general corpora of a given society is utilized as a baseline, with which texts about corporate texts are compared. This study not only propose a model to identify and classify inclusion in language use, but also provides insights to measure and track progress by including inclusion in CSR reports as a strategy to build an inclusive corporate team.
%U https://aclanthology.org/2022.csrnlp-1.7/
%P 46-51

Markdown (Informal)

[Inclusion in CSR Reports: The Lens from a Data-Driven Machine Learning Model](https://aclanthology.org/2022.csrnlp-1.7/) (Lu et al., CSRNLP 2022)

• Inclusion in CSR Reports: The Lens from a Data-Driven Machine Learning Model (Lu et al., CSRNLP 2022)

ACL

• Lu Lu, Jinghang Gu, and Chu-Ren Huang. 2022. Inclusion in CSR Reports: The Lens from a Data-Driven Machine Learning Model. In Proceedings of the First Computing Social Responsibility Workshop within the 13th Language Resources and Evaluation Conference, pages 46–51, Marseille, France. European Language Resources Association.