Meso News-Spaces and Beyond: News-Related Communication Occurring Between the Public and Private Domains
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 concept of meso news-spaces refers to online spaces located between the private and public realms, where everyday users, more professional media actors, or both, can produce and share news-related content among each other, yet not to a wide audience. Such spaces are afforded by digital media platforms, including, but not limited to, Facebook groups, X spaces, and group chats on WeChat, WhatsApp, or Telegram. This special issue is devoted to further understanding news-related communication that occurs neither in fully public nor fully private realms, but between or across the two. In the introduction to the special issue, we demonstrate the significance of meso news-spaces by considering the example of the use of WhatsApp groups in the mobilization of the pro-democracy movement in Israel in 2023. We then consider the challenges that meso news-spaces pose for researchers, in terms of conceptualization, research ethics, and context. We conclude with a review of the articles of the special issue, and with directions for future research around this phenomenon, that is proving to be a significant one in the digital news environment.
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 | 0.000 |
| 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 | 0.003 | 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