“…But there are significant challenges, for instance, the need to report according to the requirements of multiple ESG frameworks and protocols and to coordinate inputs between functions, groups, and networks. In this context, more and more studies are oriented towards the quality analysis of sustainability reporting and ESG content analysis using various artificial intelligence algorithms, like natural language processing (NLP), machine learning (ML), or deep learning (DL) [1][2][3][4][5][6][7][8][9][10]. Corporate reporting has acquired new dimensions since the emergence and implementation of the triple bottom line (TBL) concept, and standards and regulations have been added to traditional financial reporting frameworks for reporting and disclosing information on environmental and social aspects, guiding companies towards a development sustainable business through management's integration of a TBL approach [11][12][13].…”