A Social Media Strategy for Politics in Action: The Case of CPAC, the Cable Public Affairs Channel
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
Social media is changing the way business is done, and television is no exception. This case study proposes a social media strategy for CPAC, the Cable Public Affairs Channel, as a means to transition from a one-way, television service to an all-encompassing source of political information and programming. CPAC is present in social media channels but they are under-resourced and underdeveloped. An element of trepidation exists amongst CPAC’s senior management with respect to social media, although there is an acknowledgement that CPAC must be in the space. Primary fears are that using social media will infringe upon the independent and editorial-free nature of its mission, as well as detract from intelligent and meaningful dialogue, making it a challenge for getting buy-in to do more. However, as broadcasters C-SPAN and PBS have demonstrated, social media can be leveraged in a way that does not threaten public interest media’s role but rather enhances it. Drawing on an extensive literature review, a focus group with CPAC’s senior management and interviews with comparator organizations C-SPAN and PBS, a strategy based on the findings is recommended for implementation.
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 | 0.003 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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