Femvertising or femwashing? Women's perceptions of authenticity
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
Abstract Stereotypes in advertising are recognized as contributing to the perpetuation of inequalities. In response to this, femvertising—“ advertising that employs pro‐female talents , messages , and imagery to empower women and girls ” (SheKnows, 2014)—is increasingly observed in the marketplace. Despite femvertising's prevalence, current research has failed to identify women's core understanding of it. The objectives of this research are to conceptualize femvertising from a consumer perspective, explore the nature of authentic femvertising, and differentiate it from femwashing. In‐depth interviews were conducted with 17 women. The findings help uncover femvertising's complex meaning as perceived by consumers and distinguish it from femwashing. The results suggest that the concepts of femvertising and femwashing coexist in consumers' minds. Six dimensions of authentic femvertising are identified: transparency, consistency, identification, diversity, respect, and challenging stereotypes. This research contributes to the consumer research, advertising, and branding literature; encourages a broader societal reflection about gender stereotypes; and offers several managerial implications.
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 | 0.002 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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