Image memorability predicts social media virality and externally-associated commenting

Visual content on social media plays a key role in entertainment and information sharing, yet some images gain more engagement than others. We propose that image memorability – the ability to be remembered – may predict viral potential. Using 1,247 Reddit image posts across three timepoints, we assessed memorability with neural network ResMem and correlated the predicted memorability scores with virality metrics. Memorable images were consistently associated with more comments, even after controlling for image categories with ResNet-152. Semantic analysis revealed that memorable images relate to more neutral-affect comments, suggesting a distinct pathway to virality from emotional contents. Additionally, visual consistency analysis showed that memorable posts inspired diverse, externally-associated comments. By analyzing ResMem’s layers, we found semantic distinctiveness was key to both memorability and virality. This study highlights memorability as a unique correlate of social media virality, offering insights into how visual features and human cognitive behavioral interactions are associated with online engagement. • Memorable images are more likely to go viral on social media • Memorability predicts widespread virality on social media independent from image category or emotion • Memorable images may guide people towards externally-related information separates from the image content • Semantic distinctiveness is the key driver for both memorability and virality

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Publication Details

Journal
Computers in Human Behavior
Published
2025-09-22
DOI
https://doi.org/10.1016/j.chb.2025.108799
Citations
3
Primary Topic
Misinformation and Its Impacts
Type
article
Field-Weighted Citation Impact
12.60
Controls
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article

Image memorability predicts social media virality and externally-associated commenting

Wilma Alice Bainbridge, Shunfeng Peng
3 citations
Computers in Human Behavior
Misinformation and Its Impacts
12.60
article

Image memorability predicts social media virality and externally-associated commenting

Wilma Alice Bainbridge, Shunfeng Peng
article en
3 citations

Abstract

Visual content on social media plays a key role in entertainment and information sharing, yet some images gain more engagement than others. We propose that image memorability – the ability to be remembered – may predict viral potential. Using 1,247 Reddit image posts across three timepoints, we assessed memorability with neural network ResMem and correlated the predicted memorability scores with virality metrics. Memorable images were consistently associated with more comments, even after controlling for image categories with ResNet-152. Semantic analysis revealed that memorable images relate to more neutral-affect comments, suggesting a distinct pathway to virality from emotional contents. Additionally, visual consistency analysis showed that memorable posts inspired diverse, externally-associated comments. By analyzing ResMem’s layers, we found semantic distinctiveness was key to both memorability and virality. This study highlights memorability as a unique correlate of social media virality, offering insights into how visual features and human cognitive behavioral interactions are associated with online engagement. • Memorable images are more likely to go viral on social media • Memorability predicts widespread virality on social media independent from image category or emotion • Memorable images may guide people towards externally-related information separates from the image content • Semantic distinctiveness is the key driver for both memorability and virality

Computers in Human BehaviorVol. 174
University of Toronto (CA), Baycrest Hospital (CA), University of Chicago (US)
Openalex Percentile: Top 2%
Misinformation and Its Impacts
12.60
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