Good Papers
International Journal of Data Science and Analytics 2025Multimodal reasoningHarrisburg University of Science

Decoding reddit memes virality

Memes with multiple objects, humans, or animals, less saturated colors, smaller thumbnails, and 12-6 pm UTC posting achieve higher virality, improving prediction accuracy.

Tanmay Sah, Kayden Jordan

Published Apr 17, 2025Paper ↗

69%
OverallHighly rated
?
OverallHighly ratedVote to see the score
Readers
–

Only vote on papers you've read. Sign in to vote.

AI panel6/20reviewers recommend it
lenient 3/5
medium 3/10
strict 0/5
AI panel?Vote to see what the 20 AI reviewers said

Abstract

Abstract Understanding the elements that contribute to a meme’s virality is crucial due to the significant role memes play in digital culture and communication. This study analyzed 16,968 memes from Reddit, which are now available on the Open Science Framework. It aimed to identify predictors of virality, focusing on both textual and image-based characteristics. Our findings indicate that memes featuring multiple objects, humans, or animals, and those utilizing less saturated colors such as light gray and dark gray, tend to achieve higher virality. Additionally, smaller thumbnail dimensions and the avoidance of surprise facial expressions are associated with higher virality. Notably, memes posted between 12 pm and 6 pm UTC show a significant increase in virality. Combining these predictors enhances the area under the receiver operating characteristic curve of virality predictions, highlighting the complex interplay between content elements in meme dissemination. This research underscores the importance of a multifaceted approach in predicting meme virality and offers insights into effective social media strategies. Additionally, we provide an open-source codebase on GitHub to promote research transparency and reproducibility.