Navigating the narrative landscape: AI-driven insights into social Licence to operate and ESG risk across global mining economies

Abstract

This study explores the complex dynamics of Social Licence to Operate (SLO) in natural resource development across diverse global economies. Using an innovative AI-driven analysis of narrative construction and emotional resonance, the research examines how SLO narratives evolve and impact stakeholder perceptions. The study introduces a novel economic ‘typing’ framework, categorizing economies based on their relationship with mineral extraction and value chain participation. By leveraging the Earth.ai platform, the research provides empirical insights into the narrative structures and emotional underpinnings of SLO discourse. The findings reveal significant variations in SLO narratives across different economic contexts, highlighting the importance of local vernacular, cultural nuances, and economic dependencies in shaping public discourse.

The study demonstrates that while SLO and ESG risk concepts are well-established in North American contexts, their relevance and interpretation vary considerably in European and Australian settings. This research contributes to a more nuanced understanding of SLO, offering valuable insights for policymakers, industry practitioners, and researchers navigating the complexities of sustainable resource development in an increasingly globalized world.