Exposure to and sharing of fringe or radical content online
Bibliographic record
Abstract
Using a large, national survey of online Australians, we measured unintentional and intentional exposure to fringe or radical content and groups online. Two in five respondents (40.6%) reported being exposed to material they described as fringe, unorthodox or radical. One-quarter of these respondents (23.2%) accessed the content intentionally. One-third (29.9%) said the content they had seen depicted violence. Fringe or radical content was often accessed through messages, discussions and posts online. Mainstream social media and messaging platforms were the platforms most frequently used to share fringe or radical content. Being a member of a group promoting fringe or radical content was associated with increased sharing of that content with other internet users. Efforts to restrict access to radical content and groups online, especially on mainstream platforms, may help reduce intentional and unintentional exposure to and sharing of that content.
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How this classification was reachedexpand
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".