Color and engagement in touristic Instagram pictures: A machine learning approach

Joanne Yu, Roman Egger

Research output: Contribution to journalArticleResearchpeer-review

Abstract

Color plays a critical role in recognizing tourist experiences and influencing their emotions. By classifying tourism photos on Instagram using machine learning, this study uncovers the relationship between color and user engagement based on pictures with different features. The findings show that the presence of the color blue in photos featuring natural scenery, high-end gastronomy, and sacral architectures contributes to user engagement. A red/orange color scheme enhances pictures regarding local delicacies and ambience, while the coexistence of violet and warm colors is crucial for photographs featuring cityscapes and interior design. By taking a broader lens from aesthetic philosophy and narrowing down to color psychology, this study offers guidelines for marketers to promote tourism activities through the application of color.
Original languageEnglish
Article number103204
JournalAnnals of Tourism Research
Publication statusPublished - Apr 2021

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