Educating Readers About Climate Justice: Discourse Analysis Of Conferences Of Party

Abstract

Language is one of the crucial components to generate dialogues where climate justice is rooted in a prescriptive appeal to integrity.  This is an essential process to negotiate is carried out by various political parties to utilize their language for human welfare. Currently, the world has shown a serious attitude toward climatic issues, and climatic important agendas and contributions have been figured out in the conference of parties (COP27). To understand the various interpretations of climate justice, this study has been conducted to understand the political will for climate change justice and COP26 to COP27 which is a dialogue between political leaders to solve the problem of climate change by differentiating through international, intra-social, and intergenerational conferences. Such perspectives have been presented semantical and pragmatical mean through the help of critical discourse analysis by using the three-dimensional model of Van Dijk. The objective of this study is to comprehend the linguistic dynamics of COP26 to COP27 that are exercised in Glasgow and Egypt. The sampling of the study consists of 10 statements from different countries categorised by different coalitions; pragmatically and semantically investigated by using Linguistic Inquiry Word Count LIWC. Further, LIWC was applied to excel graphs to understand the non-binding language policy in the different political interpretations that have been presented in the COP26 and COP27 that has raised the major issue for the youth to contribute productively in the future to secure the earth linguistically, socially, and internationally. Moreover, this study demonstrates the linguistic properties of political interpretations through machine learning.