Banerjee, Snehasish orcid.org/0000-0001-6355-0470 and Pal, Anjan orcid.org/0000-0001-7203-7126 (2018) Likely to be Liked? A Study of Facebook Images. In: 2018 4th International Conference on Information Management, ICIM 2018. International Conference on Information Management, 25-27 May 2018 IEEE , GBR , pp. 53-56.
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.
Metadata
Item Type: | Proceedings Paper |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 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 |
Keywords: | Facebook,image,Like,Social Media,social media |
Dates: |
|
Institution: | The University of York |
Academic Units: | The University of York > Faculty of Social Sciences (York) > The York Management School |
Depositing User: | Pure (York) |
Date Deposited: | 01 Aug 2018 10:30 |
Last Modified: | 28 Jan 2025 00:03 |
Published Version: | https://doi.org/10.1109/INFOMAN.2018.8392808 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/INFOMAN.2018.8392808 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:134041 |
Download
Filename: ICIM_Facebook_image_likes_R1.pdf
Description: ICIM Facebook image likes