Environmental Claim Detection
It addresses the need for automated detection of environmental claims to support a green economy, but is incremental as it focuses on dataset creation and initial modeling.
The paper tackles the problem of detecting environmental claims made by companies by introducing a new task, releasing an expert-annotated dataset and models, and finds that such claims have increased since 2015.
To transition to a green economy, environmental claims made by companies must be reliable, comparable, and verifiable. To analyze such claims at scale, automated methods are needed to detect them in the first place. However, there exist no datasets or models for this. Thus, this paper introduces the task of environmental claim detection. To accompany the task, we release an expert-annotated dataset and models trained on this dataset. We preview one potential application of such models: We detect environmental claims made in quarterly earning calls and find that the number of environmental claims has steadily increased since the Paris Agreement in 2015.