Understanding the Dimensions of Climate Change Misinformation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Climate change misinformation (CCM) is emerging as one of the most pressing barriers to climate action. Referring to false or inaccurate information about climate change, CCM threatens to cast confusion on both the severity and existence of climate change. As CCM has permeated into mainstream news and social media platforms, it can now reach larger audiences and decrease support for climate change mitigation practices and policies. To combat CCM effectively, more work is needed to understand it as one unified concept. This major research paper focuses on filling this gap by identifying the dimensions of CCM through an inductive content analysis of peer-reviewed literature. Utilizing an inductive approach, five overall dimensions of CCM were synthesized: attributes, psychology, politics, disinformation, and responses. These dimensions establish the necessary foundation to understand CCM as one concept, increase global resiliency to CCM, and develop strategies that focus on eliminating CCM in the future.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it