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Predicting Users’ Personality Based on Their ‘Liked’ Images on Instagram
University College London, UK.
Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics.ORCID iD: 0000-0003-4344-9986
2018 (English)In: 2nd Workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces (HUMANIZE), 2018, 2018Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

With the development in technology and the increasing ubiquityof social media services, it has created new opportunities to studypersonality from the digital traces individuals leave behind. Thelarge number of user-generated images on social media hasprompted renewed interests in understanding the psychologicalfactors driving production and consumption behaviours of visualcontent. Instagram is currently the fastest growing photo-sharingsocial media platform, with more than 400 million active usersand nearly 100 million photos shared on the platform daily [1],and generates 1.2 billion likes each day [2]. The understanding ofthe appeal of visual content at an individual level is highlyrelevant to psychometric assessment, social media marketing andinterface personalisation. In this position paper, we address theneed to explore the avenue of automatic personality assessmentusing ‘liked’ images on Instagram.

Place, publisher, year, edition, pages
2018.
Keywords [en]
Personality, automatic personality recognition, Instagram, image features
National Category
Electrical Engineering, Electronic Engineering, Information Engineering Media and Communications
Identifiers
URN: urn:nbn:se:hj:diva-38868OAI: oai:DiVA.org:hj-38868DiVA, id: diva2:1183756
Conference
The 23rd International on Intelligent User Interfaces, March 7-11, 2018
Available from: 2018-02-19 Created: 2018-02-19 Last updated: 2018-02-27Bibliographically approved

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fulltext(163 kB)195 downloads
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Type fulltextMimetype application/pdf

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Ferwerda, Bruce

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf