Internet users’ attitudes towards social media advertisements: The role of advertisement design and users’ motives
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
This research paper aims to examine the impact of social media advertisement attributes, including informativeness, trust, and irritation, and internet users' motivational factors; namely investigation, customization, opportunity seeking, interaction, and entertainment on individuals' attitude towards advertisements over social media sites in Jordan. A conceptual research model was proposed based on the relevant literature to be empirically tested. Data was collected using an online questionnaire survey administered to 256 participants. Hypotheses were tested using single and multiple linear regression analyses. Results show that advertisement design factors along with internet users' motives were all significant factors affecting the attitude towards advertisements on social media sites with entertainment, interaction and informativeness had the highest impact. Based on the research findings, recommendations were reported for academicians and practitioners. Limitations and promising areas for further research were discussed.
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 | 0.000 | 0.000 |
| 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 | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| 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