Using causal AI to amplify sustainability in the textile industry
AI Summary: Researchers from Constructor University have developed a framework aimed at enhancing how responsible brands communicate sustainability on social media, particularly in the context of the textile industry's environmental challenges. Published in IEEE Transactions on Engineering Management, the study utilized causal machine learning to analyze various types of sustainability content across social media platforms, revealing that short-form Reels significantly outperform longer formats in driving audience engagement. The framework suggests a two-stage campaign structure, using Reels for initial awareness and longer content for education, thereby optimizing organic reach while minimizing marketing costs. This approach not only aims to improve communication strategies but also seeks to activate systemic changes in the textile ecosystem, aligning with upcoming regulatory measures on textile waste management.