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Record W2102200606 · doi:10.1086/651204

Puffery in Advertisements: The Effects of Media Context, Communication Norms, and Consumer Knowledge

2010· article· en· W2102200606 on OpenAlexaff
Alison Jing Xu, Robert S. Wyer

Bibliographic record

VenueJournal of Consumer Research · 2010
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior in Brand Consumption and Identification
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAdvertisingContext (archaeology)Product (mathematics)PsychologyProduct typeBusinessComputer scienceMathematicsHistory

Abstract

fetched live from OpenAlex

Ads often contain puffery—product descriptions that purport to be important but actually provide little if any meaningful information. Consumers’ reactions to these descriptions depend on whether they perceive themselves to be more or less knowledgeable about the product than others whom the ad is specifically intended to influence. When an ad appears in a professional magazine that is read primarily by experts in the product domain, puffery generally increases the ad’s effectiveness. This is also true when the ad appears in a popular magazine but readers perceive themselves to know less about the product than consumers at large. If readers believe they know as much as or more than general consumers, however, puffery decreases the ad’s effectiveness. In addition, the media context in which an ad is encountered has a direct effect on judgments by consumers who perceive themselves to have little knowledge about the type of product being advertised.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.069
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.069
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.047
GPT teacher head0.343
Teacher spread0.296 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations103
Published2010
Admission routes1
Has abstractyes

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