Fighting the social media wildfire: how crisis communication must adapt to prevent from fanning the flames
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
When a nine-month correspondence seeking reparations for musical instruments damaged by United Airlines employees stalemated, Canadian musician Dave Carroll took action online. Utilizing the video-sharing Web site YouTube, Carroll narrated his ordeal through the lyrics of a music video entitled United Breaks Guitars. Within hours, the video went viral generating a torrent of negative YouTube comments about United, commentary from the mainstream media, and more than 3 million views the first week of its launch. United Breaks Guitars embodies the new phenomenon of a social media wildfire in which the rapid proliferation of information through social media causes severe reputational damage to organizations whose crisis communication plans are ill equipped to handle online dilemmas. Using symbolic interactionist theory, this case analysis explores the phenomenon in detail and provides suggestions for how organizations must re-evaluate existing crisis communication plans to respond effectively to an online audience in the billions.
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 | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| 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