The Information Security Cultures of Journalism
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 article is an exploratory study of the influence of beat and employment status on the information security culture of journalism (security-related values, mental models, and practices that are shared across the profession). The study is based on semi-structured interviews with 16 journalists based in Canada in staff or freelance positions working on investigative or non-investigative beats. We find that journalism has a multitude of security cultures that are influenced by beat and employment status. The perceived need for information security is tied to perceptions of sensitivity for a particular story or source. Beat affects how journalists perceive and experience information security threats. Investigative journalists are concerned with surveillance and legal threats from state actors including law enforcement and intelligence agencies. Non-investigative journalists are more concerned with surveillance, harassment, and legal actions from companies or individuals. Employment status influences the perceived ability of journalists to effectively implement information security. Based on these results we discuss how journalists and news organisations can develop effective security cultures and raise information security standards.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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