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Predicting Users' Personality from Instagram Pictures: Using Visual and/or Content Features?
Jönköping University, School of Engineering, JTH, Computer Science and Informatics.ORCID iD: 0000-0003-4344-9986
Free University of Bozen-Bolzano. (Faculty of Computer Science)
2018 (English)In: UMAP ’18- Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, Association for Computing Machinery (ACM), 2018, p. 157-161Conference paper, Published paper (Refereed)
Abstract [en]

Instagram is a popular social networking application that allows users to express themselves through the uploaded content and the different filters they can apply. In this study we look at personality prediction from Instagram picture features. We explore two different features that can be extracted from pictures: 1) visual features (e.g., hue, valence, saturation), and 2) content features (i.e., the content of the pictures). To collect data, we conducted an online survey where we asked participants to fill in a personality questionnaire and grant us access to their Instagram account through the Instagram API. We gathered 54,962 pictures of 193 Instagram users. With our results we show that visual and content features can be used to predict personality from and perform in general equally well. Combining the two however does not result in an increased predictive power. Seemingly, they are not adding more value than they already consist of independently.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2018. p. 157-161
Keywords [en]
Personality, Instagram, picture content, social media
National Category
Human Aspects of ICT Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:hj:diva-39430DOI: 10.1145/3209219.3209248Scopus ID: 2-s2.0-85051696109ISBN: 978-1-4503-5589-6 (electronic)OAI: oai:DiVA.org:hj-39430DiVA, id: diva2:1205789
Conference
The 26th ACM International Conference on User Modeling, Adaptation and Personalization, Singapore, 8 - 11 July, 2018
Available from: 2018-05-15 Created: 2018-05-15 Last updated: 2018-09-19

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fulltext(456 kB)270 downloads
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CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
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  • Other locale
More languages
Output format
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