Corporate climate disclosures have come to the fore of measuring environmental responsibility, but worries about greenwashing of exaggeration or parts of the environmental performance of exaggerating or overselling environmental performance remain. This paper fulfills this crucial gap in establishing the validity of such revelations by offering the machine learning method of identifying possible greenwashing. It is probable that the mixed-methods design has been used, where the textual analysis of the composed corporate sustainability reports and supervised learning algorithms trained on labeled examples of misleading statements are supplemented. Through the implementation of natural language processing and classification algorithms, the model will recognise patterns that are suggestive of a lack or even exaggeration of commitment with regard to climate pledges. The findings can be used to illustrate industry-related patterns and important language indications linked to greenwashing.

Adrienne Rich's poem "Diving into the Wreck" displays a symbolic journey towards self-discovery, identity, and history. The poem is usually interpreted through the feminist or poststructuralist approaches, nevertheless, this study claims that the poem's existential aspects have not been taken into consideration. By the application of Sartrean concepts of freedom, alienation, and the search for meaning to the text, the critical gap will be filled by this research. A qualitative methodology based on the textual analysis of language, form, and imagery is used, and the analysis sees the dive as an intense journey of self-discovery. The narrator’s striving to investigate the wreck corresponds with Sartre’s dictum that “existence precedes essence” and manifests the need to create one's own meaning in a neutral universe. This research further supports the scholarly readings of Rich's works by bringing to the fore its existential aspect.