Racist disinformation on the World Wide Web: initial implications for the LIS community
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
This paper has emerged from an Australian-based doctoral research program investigating the presence of racist disinformation on the World Wide Web (WWW) and the extent to which, if any, such material can be balanced by the content of anti-racist sites. Prior research about racism on the internet has rarely dealt specifically with the World Wide Web. Much of what has been written has focused on pornography in the censorship/free speech debate, with racism treated as an adjunct. Whereas previous researchers have raised the potential of the internet as a source of disinformation, there has been little in the way of specific studies of racist disinformation on the World Wide Web. This paper addresses a number of issues emerging from the relevant literatures and clarifies important points of terminology. Finally it considers possible implications for the role of the LIS community as use of the World Wide Web by racist groups increases (Institute of Race Relations 1999).
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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