By the same authors

Likely to be Liked? A Study of Facebook Images

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Title of host publication2018 4th International Conference on Information Management, ICIM 2018
DateAccepted/In press - 6 Dec 2017
DatePublished (current) - 25 Jun 2018
Pages53-56
Number of pages4
PublisherIEEE
Original languageEnglish
ISBN (Electronic)9781538661475

Abstract

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.

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© 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

    Research areas

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

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