Likely to be Liked? A Study of Facebook Images

Snehasish Banerjee; Anjan Pal

doi:10.1109/INFOMAN.2018.8392808

Likely to be Liked? A Study of Facebook Images

Snehasish Banerjee, Anjan Pal

Management

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English
Title of host publication	2018 4th International Conference on Information Management, ICIM 2018
Publisher	IEEE
Pages	53-56
Number of pages	4
ISBN (Electronic)	9781538661475
DOIs	https://doi.org/10.1109/INFOMAN.2018.8392808
Publication status	Published - 25 Jun 2018
Event	International Conference on Information Management - University of Oxford, Oxford, United Kingdom Duration: 25 May 2018 → 27 May 2018 http://icim.org/index.html

Conference

Conference	International Conference on Information Management
Country/Territory	United Kingdom
City	Oxford
Period	25/05/18 → 27/05/18
Internet address	http://icim.org/index.html

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

Keywords

Facebook
image
Like
Social Media
social media

Access to Document

10.1109/INFOMAN.2018.8392808

ICIM Facebook image likes
© 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
Accepted author manuscript, 269 KB

Cite this

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title = "Likely to be Liked? A Study of Facebook Images",

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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author = "Snehasish Banerjee and Anjan Pal",

note = "{\textcopyright} IEEE, 2018. This is an author-produced version of the published paper. Uploaded in accordance with the publisher{\textquoteright}s self-archiving policy. Further copying may not be permitted; contact the publisher for details; International Conference on Information Management ; Conference date: 25-05-2018 Through 27-05-2018",

year = "2018",

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AU - Pal, Anjan

N1 - © 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

PY - 2018/6/25

Y1 - 2018/6/25

N2 - 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.

AB - 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.

KW - Facebook

KW - image

KW - Like

KW - Social Media

KW - social media

UR - https://ieeexplore.ieee.org/abstract/document/8392808/

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DO - 10.1109/INFOMAN.2018.8392808

M3 - Conference contribution

SP - 53

EP - 56

BT - 2018 4th International Conference on Information Management, ICIM 2018

PB - IEEE

T2 - International Conference on Information Management

Y2 - 25 May 2018 through 27 May 2018

ER -

Likely to be Liked? A Study of Facebook Images

Abstract

Conference

Bibliographical note

Keywords

Access to Document

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Cite this