What we instagram: A first analysis of instagram photo content and user types

Yuheng Hu, Lydia Manikonda, Subbarao Kambhampati

Research output: Chapter in Book/Report/Conference proceedingConference contribution

418 Scopus citations

Abstract

Instagram is a relatively new form of communication where users can easily share their updates by taking photos and tweaking them using filters. It has seen rapid growth in the number of users as well as uploads since it was launched in October 2010. In spite of the fact that it is the most popular photo capturing and sharing application, it has attracted relatively less attention from the research community. In this paper, we present both qualitative and quantitative analysis on Instagram. We use computer vision techniques to examine the photo content. Based on that, we identify the different types of active users on Instagram using clustering. Our results reveal several insights about Instagram which were never studied before, that include: 1) Eight popular photos categories, 2) Five distinct types of Instagram users in terms of their posted photos, and 3) A user's audience (number of followers) is independent of his/her shared photos on Instagram. To our knowledge, this is the first in-depth study of content and users on Instagram.

Original languageEnglish (US)
Title of host publicationProceedings of the 8th International Conference on Weblogs and Social Media, ICWSM 2014
PublisherThe AAAI Press
Pages595-598
Number of pages4
ISBN (Electronic)9781577356578
StatePublished - 2014
Event8th International Conference on Weblogs and Social Media, ICWSM 2014 - Ann Arbor, United States
Duration: Jun 1 2014Jun 4 2014

Publication series

NameProceedings of the 8th International Conference on Weblogs and Social Media, ICWSM 2014

Other

Other8th International Conference on Weblogs and Social Media, ICWSM 2014
Country/TerritoryUnited States
CityAnn Arbor
Period6/1/146/4/14

ASJC Scopus subject areas

  • Computer Networks and Communications

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