Designing Systems that Support the Blogosphere for Deliberative Discourse
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
Web 2.0 has great potential to serve as a public sphere (Habermas, 1974; Habermas, 1989) – a distributed arena of voices where all who want to do so can participate. A well-functioning public sphere is important for pluralistic decision-making at many levels, ranging from small organizations to society at large. In this paper, we analyze the capability of the blogosphere in its current form to support such a role. This analysis leads to the identification of the principal issues that prevent the blogosphere from realizing its full potential as a public sphere. Most significantly, we propose that the sheer volume of content overwhelms blog readers, forcing them to restrict themselves to only a small subset of valuable content. This ultimately reduces their level of informedness. Based on past research on managing discourse, we propose four design artifacts that would alleviate these issues: a communal repository, textual clustering, visual cues, and a participation facility for blog users. We present a prototype system, called FeedWiz, which implements several of these design artifacts. Based on this initial design, we formulate a research agenda for the creation of new tools that effectively harness the potential of the growing body of user-generated content in the blogosphere and beyond.
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 | 0.002 | 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) | 0.001 | 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