Volunteer activity: Evaluate automated climate misinformation debunkings

A new challenge and a new opportunity for research

Emergence of AI-augmented disinformation/misinformation threatens to make corrective debunkings concerning climate change even more difficult, swamping already scanty capacity. The situation demands adaptation. We are exploring ways to counter this burgeoning flood of harm by employing the same tools  now employed by malefactors as a force for good. 

Using machine learning for detection and classification by FLICC taxonony of specific instances of bunk emerging on the internet, we exploit classification to establish an advantage for prompting a generative LLM to create a specific reply to the specific bunk item in play. 

We've reached the output stage of the project and need people not closely connected to development to evaluate results.

How may I help?

Generative LLMs are prone to failures best spotted by real people. Here, we need help with evaluating output from our newly developed chain of tools producing automated replies to climate bunk. This activity is especially suited to people having a fair degree of familiarity with climate disinformation and misinformation. 

Activity details:
We estimate this assistance to require about 5 hours of contributed time. Helpers will be personally familiarized with the process by Dr. John Cook, founder of Skeptical Science and a leading climate disinformation researcher.

This activity is also a great way to get acquainted with Skeptical Science as a volunteer, leading to other opportunities to help fight Earth's climate crisis by fostering a better-informed public.

Interested?
We hope so. If you are, please let us know some contact details and we'll be in touch. Your contact information will not be shared with or used by anybody outside of Skeptical Science, Inc. and will only be used in connection with this activity.