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Instagramming the Lee Kun-hee Special Exhibition: Hashtag, Image Typology, and Artwork Matching as Tools for Exhibition Experience Analysis

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2025, 30(12), pp.185~194
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : October 10, 2025
  • Accepted : November 24, 2025
  • Published : December 31, 2025

Seong-Mee Yoon 1 Bo-A Rhee 1

1중앙대학교

Accredited

ABSTRACT

This study analyzes Instagram posts related to the《Lee Kun-hee Collection Special Exhibition》 to examine the feasibility and applicability of an integrative analytical methodology. Three dimensions are employed: artist-related hashtag analysis, typology of image, and exhibited artwork–Instagram image matching. The findings are as follows. First, the hashtag analysis showed that artist hashtags overwhelmingly outweighed artwork hashtags, indicating that online dissemination was structured more around artist recognition than individual works. Second, the image-type analysis revealed that more than 76% of posts captured artworks or exhibition scenes, demonstrating a shift from “location-based tagging” to “artwork-centered recording.” Third, the image-matching analysis revealed partial overlap with survey-based preferences, showing that visibility, pathways, and visual archiving shaped sharing.

Citation status

* References for papers published after 2024 are currently being built.