Authenticity Perceptions of Informational and Transformational Advertising: Decoding the Role of Construal Level Mindset
Bibliographic record
Abstract
ABSTRACT Femvertising, a progressive advertising approach, combines product promotion with empowering messages for women. Recent trends, especially in feminine hygiene, have shifted towards such empowering narratives, moving away from traditional stigmatized portrayals of women. This research investigates how femvertising impacts consumer perceptions in feminine hygiene advertising. Focusing on transformational versus informational advertising, we examine femvertising's effects on purchase behavior together with the role of perceived authenticity, and the impact of consumers’ construal level mindset. The findings from four experimental studies reveal that transformational messages significantly boost purchase behavior more than informational ones. Key to this effect is the alignment of message framing with the consumer's construal level and the mediating role of perceived authenticity. These results provide critical insights for brands using femvertising strategies, emphasizing the importance of authentic, resonant messages aligned with the target audience's mindset.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".