Keeping Up With Fast-Paced Industry Changes—Digital Media Education in U.S. Advertising and PR Programs
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 continuing technological development of the advertising and public relations (PR) industry and increasing transfer of marketing expenditures from traditional channels to emerging digital media have placed a heavy burden on advertising and PR education. While it is not clear how educators are responding to the digital challenge, this study provides a complete picture of advertising and PR digital media education in the United States. Through a content analysis of curricula from 99 universities with advertising and PR programs, we found that nearly one-quarter (23.5%; n = 1,128) of advertising and PR major courses taught digital media and that digital media education placed greater emphasis on skills courses. Furthermore, the advertising and PR discipline was still based on mass communication, journalism, and marketing rather than computer-related fields. It is hoped that this article will shed some light on the digitalization of future advertising and PR education.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| 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