Buying the news: A quantitative study of the effects of corporate acquisition on local news
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
Local newspapers are increasingly subject to predatory corporate acquisition—corporate takeovers in which media conglomerates purchase publications in financially precarious states, drastically cut staff, and in certain cases consolidate newsroom operations. We investigate how this practice alters the information environment of 31 corporate-owned local newspapers across over 130,000 articles. Formalizing local information across three dimensions, we find (a) that corporate acquisition is associated with a reduction in the volume of local content produced, (b) that the coverage of local places following acquisition is significantly more concentrated than prior to acquisition, and (c) that articles produced to be shared across regional hubs of corporate-owned publications are significantly less local—and discursively more national—than articles produced for a single local market. Our findings identify reductions in newsroom resources and regional hubs of publications as detrimental to the information environment of local communities.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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