You are right. I am ALARMED -- But by Climate Change Counter Movement
This work provides a resource for NLP researchers to detect climate misinformation, but it is incremental as it repackages existing social science literature into a new dataset.
The authors tackled the problem of climate misinformation by creating a dataset of articles from the climate change counter movement, addressing the lack of domain-specific misinformation data in NLP.
The world is facing the challenge of climate crisis. Despite the consensus in scientific community about anthropogenic global warming, the web is flooded with articles spreading climate misinformation. These articles are carefully constructed by climate change counter movement (cccm) organizations to influence the narrative around climate change. We revisit the literature on climate misinformation in social sciences and repackage it to introduce in the community of NLP. Despite considerable work in detection of fake news, there is no misinformation dataset available that is specific to the domain.of climate change. We try to bridge this gap by scraping and releasing articles with known climate change misinformation.