The Impact of SMS Advertising on Members of a Virtual Community
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
<h3>ABSTRACT</h3> This empirical research brings interesting insights concerning mobile commerce. Our objective is to determine the influence of language (conventional language versus short message service (SMS) language) and spokeperson on the effectiveness of SMS advertising. The experiment took place in a virtual community of gamers equipped with cellular telephones. After having exchanged messages during several days in the forum9s community, participants received one of four messages (varied with the language and the source of the message) that they evaluated afterward. Our results offer new and significant insights to managers wishing to use this medium. Unlike what is often thought, our results show that SMS language is not always recommended. While known and credible companies could use shortened, original, and entertaining SMS language, little known companies or ordinary spokepersons should refrain from doing so. Thus a message relayed by a spokeperson with little credibility, even if he is a member of the targeted community, should have a sober and clear content with a conventional language.
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 | 0.010 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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