ReportGRI: Automating GRI Alignment and Report Assessment
Abstract: 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
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@inproceedings{DBLP:conf/cikm/UsmanovaABLU25,
author = {Aida Usmanova and
Rana Abdullah and
Debayan Banerjee and
Markus Leippold and
Ricardo Usbeck},
editor = {Meeyoung Cha and
Chanyoung Park and
Noseong Park and
Carl Yang and
Senjuti Basu Roy and
Jessie Li and
Jaap Kamps and
Kijung Shin and
Bryan Hooi and
Lifang He},
title = {ReportGRI: Automating {GRI} Alignment and Report Assessment},
booktitle = {Proceedings of the 34th {ACM} International Conference on Information
and Knowledge Management, {CIKM} 2025, Seoul, Republic of Korea, November
10-14, 2025},
pages = {6723--6727},
publisher = {{ACM}},
year = {2025},
url = {https://doi.org/10.1145/3746252.3761469},
doi = {10.1145/3746252.3761469},
timestamp = {Wed, 11 Mar 2026 15:53:27 +0100},
biburl = {https://dblp.org/rec/conf/cikm/UsmanovaABLU25.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}