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Image indexing through hashtags in instagram
Author(s) -
Dorsch Isabelle,
Zimmer Franziska,
Stock Wolfgang G.
Publication year - 2017
Publication title -
proceedings of the association for information science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.193
H-Index - 14
ISSN - 2373-9231
DOI - 10.1002/pra2.2017.14505401105
Subject(s) - folksonomy , search engine indexing , computer science , information retrieval , representation (politics) , image (mathematics) , world wide web , artificial intelligence , politics , political science , law
Image indexing and knowledge representation on Instagram are organized by folksonomy‐oriented hashtags. What kinds of hashtags do Instagram users apply for different picture categories? We distinguish between food, pets, selfies, friends, activity, art, fashion, quotes (captioned photos), landscape and architecture as image categories, as well as content‐related (ofness, aboutness, iconology), emotiveness, isness, performativeness, fakeness, “Insta”‐tags and sentences as hashtag categories. Are there any differences in relative frequencies of hashtags in the image categories? What hashtag categories dominate users' indexing activities? Given an image category, what is the distribution of hashtag categories? Given a hashtag category, what is the distribution of image categories? We analyzed 1,000 pictures on Instagram with all‐in‐all 14,649 hashtags deploying content analysis.