A quantitative study on user interaction and brand perception of visual elements in social media advertising driven by deep learning
- DOI
- 10.1038/s41598-026-61139-9
- Published
- 2026-07-17
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-61139-9,
title = {A quantitative study on user interaction and brand perception of visual elements in social media advertising driven by deep learning},
author = {Pei Wang and Xiaopeng Niu and Aiping Li},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-61139-9},
url = {https://doi.org/10.1038/s41598-026-61139-9}
}RIS
TY - JOUR TI - A quantitative study on user interaction and brand perception of visual elements in social media advertising driven by deep learning AU - Pei Wang AU - Xiaopeng Niu AU - Aiping Li PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-61139-9 UR - https://doi.org/10.1038/s41598-026-61139-9 ER -
APA
Wang, P., Niu, X., & Li, A. (2026). A quantitative study on user interaction and brand perception of visual elements in social media advertising driven by deep learning. Scientific Reports. https://doi.org/10.1038/s41598-026-61139-9
Source records
- crossref · retrieved 2026-11-09T14:08:05.879Z