arbiter
JournalsAccount

Images Tell Stories

Joshua Ronen et al.

Financial Analysts Journal2025https://doi.org/10.1080/0015198x.2025.2474041article
AJG 3ABDC A
Weight
0.37

Abstract

Images can enhance the interpretation of textual material and improve decision-making. We describe recent research on how images affect decisions, generally mediated through two channels: affect and cognition. Image characteristics capturing expressiveness, such as colorfulness and sharpness, mainly engage emotions, whereas the degree to which image content either reinforces or adds to information embedded in accompanying text operates through the cognition channel. Image metrics are associated with higher crowdfunding investments, smaller analyst forecast errors and dispersion, and lower market risk. We discuss the role of generative AI in image generation and analysis and illustrate using text from GE’s 10-K filings.

1 citation

Open via your library →

Cite this paper

https://doi.org/https://doi.org/10.1080/0015198x.2025.2474041

Or copy a formatted citation

@article{joshua2025,
  title        = {{Images Tell Stories}},
  author       = {Joshua Ronen et al.},
  journal      = {Financial Analysts Journal},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1080/0015198x.2025.2474041},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Images Tell Stories

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.37

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.