The impact of social presence cues in social media product photos on consumers’ purchase intentions
Bibliographic record
Abstract
• Social presence evokes positive emotional reactions and arousal in consumers. • Implied human presence (vs. human presence) leads to greater photo diagnosticity. • Photo diagnosticity, positive emotions, and arousal increase purchase intentions. On social media, brand-generated photos enable firms to communicate information about their products. The present research investigates the effect of social presence cues in product photos on consumers’ purchase intentions. We conducted three experiments to explore how varying levels of perceived social presence (i.e., physical, implied, or absent human presence) in product photos affect consumer responses. The results indicate that social presence positively influences consumers’ emotions and product photo diagnosticity, which, in turn, positively impacts purchase intentions. In addition, a consumption background in product photos moderates the relationship between social presence and product photo diagnosticity. Utilizing the Elaboration Likelihood Model, this research contributes to the literature on social presence and mental imagery in the context of brand-generated photos. The implications for managers are also discussed, highlighting how the level of social presence in product photos influences consumers’ purchase intentions.
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How this classification was reachedexpand
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 | 0.009 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".