ReportGRI: Automating GRI Alignment and Report Assessment
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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CIKM 2025 - Proceedings of the 34th ACM International Conference on Information and Knowledge Management. ed. / Meeyoung Cha; Chanyoung Park; Noseong Park. New York: Association for Computing Machinery, Inc, 2025. p. 6723-6727 (CIKM 2025 - Proceedings of the 34th ACM International Conference on Information and Knowledge Management).
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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RIS
TY - CHAP
T1 - ReportGRI
T2 - 34th ACM International Conference on Information and Knowledge Management, CIKM 2025
AU - Usmanova, Aida
AU - Abdullah, Rana
AU - Banerjee, Debayan
AU - Leippold, Markus
AU - Usbeck, Ricardo
N1 - Publisher Copyright: © 2025 Copyright held by the owner/author(s).
PY - 2025/11/10
Y1 - 2025/11/10
N2 - Organisations disclose their sustainability performance in corporate sustainability reports (CSRs). CSRs vary widely in structure and depth depending on the reporting framework. Such disparity, together with report complexity and volume, poses significant challenges to transparency, comparability and standardisation. To address this problem, we introduce ReportGRI, an automated system for Global Reporting Initiative (GRI) indexing and qualitative assessment of CSRs. The interactive framework leverages information retrieval techniques and zero-shot prompting to enable GRI disclosure-based report indexing and report coverage assessment by visualising well-covered topics and reporting gaps. The tool facilitates scalable and explainable benchmarking of Environmental, Social and Governance (ESG) reporting quality, enhancing report interpretation, transparency, and corporate accountability. The system is open-sourced on GitHub with an introduction video.
AB - Organisations disclose their sustainability performance in corporate sustainability reports (CSRs). CSRs vary widely in structure and depth depending on the reporting framework. Such disparity, together with report complexity and volume, poses significant challenges to transparency, comparability and standardisation. To address this problem, we introduce ReportGRI, an automated system for Global Reporting Initiative (GRI) indexing and qualitative assessment of CSRs. The interactive framework leverages information retrieval techniques and zero-shot prompting to enable GRI disclosure-based report indexing and report coverage assessment by visualising well-covered topics and reporting gaps. The tool facilitates scalable and explainable benchmarking of Environmental, Social and Governance (ESG) reporting quality, enhancing report interpretation, transparency, and corporate accountability. The system is open-sourced on GitHub with an introduction video.
KW - climate policy
KW - information retrieval
KW - reporting standard
UR - http://www.scopus.com/inward/record.url?scp=105023178824&partnerID=8YFLogxK
U2 - 10.1145/3746252.3761469
DO - 10.1145/3746252.3761469
M3 - Article in conference proceedings
AN - SCOPUS:105023178824
T3 - CIKM 2025 - Proceedings of the 34th ACM International Conference on Information and Knowledge Management
SP - 6723
EP - 6727
BT - CIKM 2025 - Proceedings of the 34th ACM International Conference on Information and Knowledge Management
A2 - Cha, Meeyoung
A2 - Park, Chanyoung
A2 - Park, Noseong
PB - Association for Computing Machinery, Inc
CY - New York
Y2 - 10 November 2025 through 14 November 2025
ER -