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Record W4311858058 · doi:10.54097/fbem.v6i3.3462

Research on the Influence of Emoji in Advertising Slogans on Consumers' Purchase Intention

2022· article· en· W4311858058 on OpenAlexaff
Yeting Shen

Bibliographic record

VenueFrontiers in Business Economics and Management · 2022
Typearticle
Languageen
FieldComputer Science
TopicDigital Communication and Language
Canadian institutionsEarl Haig Secondary School
Fundersnot available
KeywordsEmojiAdvertisingProduct (mathematics)BusinessPsychologyMarketingSocial mediaComputer scienceMathematicsWorld Wide Web

Abstract

fetched live from OpenAlex

In the Internet era emoji are being used more and more frequently, this study focuses on how the use of emoji in product advertising slogans affects consumers' purchase intentions. We conducted 2 experiments to explore this issue. Experiment 1 found that adding emoji to product advertisements would increase consumers' willingness to buy products, and the effect was mediated by psychological simulation. Based on this, Experiment 2 further found that the position of the emoji in the tagline would have a moderating effect, i.e., the emoji would increase purchase intention only when the emoji was in the middle of the tagline, while the emoji's effect on purchase intention disappeared when the emoji was on both sides (left or right). This study makes some theoretical contributions and practical contributions to how emoji can be used in the consumer market.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.860
Threshold uncertainty score0.213

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.025
GPT teacher head0.264
Teacher spread0.239 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations0
Published2022
Admission routes1
Has abstractyes

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