The Antecedents of Effectiveness Interactive Advertising in the Social Media
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 aim of this article is to find out the effectiveness of the interactive advertising in the contact of social media and also the attitude of consumer towards the interactive advertising. A descriptive research was conducted to address the research objective. The survey research was undertaken among the tertiary students (majoring in mass communication with multimedia background, batch January to April 2012) who study in one of the private universities in Kuala Lumpur, Malaysia. The adopted sampling method was convenience sampling. There were 149 usable questionnaires which were analysed with the Statistical Package for Social Science Software version 17. The study found out that the advertising effectiveness of traditional and interactive advertising should be measured in a different way, or in another word, part of the traditional measures could be used, but the new measures should be add-on. Since the inherent limitation of the cross sectional method, it is suggested to increase the sampling selection and adoption of other factors for the future research.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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