Beauty Product Advertisements: A Critical Discourse Analysis
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 study examined beauty advertisements in local English magazines from a Critical Discourse Analysis perspective. This study mainly focused on the use of language in beauty advertisements and strategies employed by advertisers to manipulate and influence their customers. The analysis is based on Fairclough’s three-dimensional framework. It demonstrates how the ideology of ‘beauty’ is produced and reproduced through advertisements in popular local women’s magazines. A qualitative research was conducted on beauty product advertisements in two popular local women’s magazines, Cleo and Women’s Weekly. The findings indicated that advertisers used various strategies to manipulate women. The advertisements promote an idealised lifestyle and manipulate readers to a certain extent into believing whatever that is advertised is indeed true. This study revealed how the ideology of beauty is constructed and reconstructed through magazines by stereotyping how beauty products are synonymous with a better life. Advertising language is used to control people’s minds. Thus people in power (advertisers) use language as a means to exercise control over others.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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