Likely to be Liked? A Study of Facebook Images

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


This paper investigates how aesthetic properties of images posted on Facebook are related to the number of Likes they attract. Aesthetic properties are conceptualized in terms of technical perspectives such as brightness, colorfulness and clarity as well as non-technical perspectives such as artistry, liveliness and ingenuity. The images collected for this paper were coded in terms of the aesthetic properties by two coders. Data analysis was done using Tobit hierarchical regression. Brightness, clarity, liveliness and ingenuity of images turned out to be positively associated with the number of Likes. The significance of the findings is discussed.
Original languageEnglish
Title of host publication2018 4th International Conference on Information Management, ICIM 2018
Number of pages4
ISBN (Electronic)9781538661475
Publication statusPublished - 25 Jun 2018
EventInternational Conference on Information Management - University of Oxford, Oxford, United Kingdom
Duration: 25 May 201827 May 2018


ConferenceInternational Conference on Information Management
Country/TerritoryUnited Kingdom
Internet address

Bibliographical note

© IEEE, 2018. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details


  • Facebook
  • image
  • Like
  • Social Media
  • social media

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