Online and Off-Line Advertising During March Madness: Which Companies Drive Consumers to the Web?
Bibliographic record
Abstract
This study examined the advertisement structure of online and off-line broadcasts as consumer drivers to Web sites through the integration of specific calls to action. Content analysis was performed on ads aired during the online and off-line broadcasts of an NCAA Men’s Basketball Tournament. The key finding of this research is that communication and technology companies value advertising during online sporting-event broadcasts, because these companies were significantly more visible during the online broadcasts than the television broadcasts (χ 2 = 6.67, p = .017). A much higher percentage of online ads were shorter (15 seconds) in duration (χ 2 = 7.029, p = .01), appealed to fantasy (χ 2 = 8.494, p = .004), and used advertising execution techniques emphasizing new products or features (49%) more often than in television ads (18%; χ 2 = 11.078, p = .001). The findings provide insight into how calls to action in advertisements during Webcasts and traditional television offerings can move consumers to Web sites.
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.
How this classification was reachedexpand
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 | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".