Cultural Diffusion and Trends in Facebook Photographs
Quanzeng You, Dar\'io Garc\'ia-Garc\'ia, Mahohar Paluri, Jiebo Luo,, Jungseock Joo

TL;DR
This study analyzes Facebook photographs to understand cultural trends and diffusion, revealing that social ties influence shared visual content and that social media acts as a channel for cultural exchange and influence.
Contribution
It introduces a novel analysis of visual cultural diffusion on Facebook using CNN classification and statistical tests to distinguish influence from homophily.
Findings
Socially connected individuals post similar cultural content
Visual content correlates with friends' photographs over time
Social media facilitates cultural diffusion through visual sharing
Abstract
Online social media is a social vehicle in which people share various moments of their lives with their friends, such as playing sports, cooking dinner or just taking a selfie for fun, via visual means, that is, photographs. Our study takes a closer look at the popular visual concepts illustrating various cultural lifestyles from aggregated, de-identified photographs. We perform analysis both at macroscopic and microscopic levels, to gain novel insights about global and local visual trends as well as the dynamics of interpersonal cultural exchange and diffusion among Facebook friends. We processed images by automatically classifying the visual content by a convolutional neural network (CNN). Through various statistical tests, we find that socially tied individuals more likely post images showing similar cultural lifestyles. To further identify the main cause of the observed social…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSocial and Cultural Dynamics · Complex Network Analysis Techniques
