Political journalists’ corporate and personal identities on Twitter profile pages: A comparative analysis in four Westminster democracies
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
The practice for journalists to present an identity and brand the self on social media has become common across many newsrooms, yet its practice is still poorly understood. Focusing on journalists’ self-representations on the social network site Twitter, this study aims to address the lack of empirical understanding through an analysis of the identities which political journalists present on their Twitter profile pages. A total of 679 accounts of parliamentary press gallery journalists in Australia, Canada, New Zealand and the United Kingdom were analyzed, with a focus on various textual and visual pieces of professional and personal information. The article develops scales of corporate and personal identity, finding that UK and Canadian journalists most strongly differentiate between personal and corporate identities. Differences across countries are linked to political and economic aspects of the respective media systems.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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