Instagram as an Arena of Climate Change Communication and Mobilization: A Discourse Network Analysis of COP26
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
Conference of the Parties (COP) meetings on climate change are opportunities for social movements and other non-state actors to engage in climate change communication and mobilization. We focus on Instagram as an online arena of climate communication and mobilization during COP26, held in Glasgow. Instagram is a distinct arena for eco-political communication and activism because of its visual focus and generally younger user base. Using a Discourse Network Analysis approach, we analyse 2417 posts to examine relationships and alignments across imagery, discourses, and actors. Instagram serves as a space to articulate critical counter-discourses of climate justice, Indigenous rights, and individual action as a response to perceived failures of COP processes and formal agreements. At the same time, images of celebrities and politicians structure much of the Instagram discourse network. This highlights how Instagram contributes to a celebritization of climate politics, with individual political actors positioned as climate heroes or villains.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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