Towards Greenwashing Detection - a Deep Learning-Based Mechanism for Greenwashing Identification

System design of SVIPC Detector

Greenwashing is a growing form of climate misinformation, designed to distract the public from the environmentally harmful activities of companies such as fossil fuel producers. Greenwashing strategies are typically subtle, not containing outright falsehoods but painting a misleading picture by emphasising environmentally beneficial activities while neglecting to communicate that the net effect of the company’s activities are negative. The subtle nature of these distracting tactics makes detection of greenwashing challenging. Leveraging the multimodal features of posts on social media, we built a machine learning-based pipeline for detecting Green Messaging and assessing the potential of companies engaging in Greenwashing

Lu Zhang
Lu Zhang
PhD Student

My research interests interests lie in Applied AI for Security&Privacy, Computational Social Science, and Data-Driven Social Media Analysis&Measurement.