research-article

What is Your Organization 'Like'?: A Study of Liking Activity in the Enterprise

Authors:

Naama Zwerdling,

Irena Zuyev-Grabovitch,

Michal JacoviAuthors Info & Claims

CHI '16: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

Pages 3025 - 3037

https://doi.org/10.1145/2858036.2858540

Published: 07 May 2016 Publication History

Abstract

The 'like' button, introduced by Facebook several years ago, has become one of the most prominent icons of social media. Similarly to other popular social media features on the web, enterprises have also recently adopted it. In this paper, we present a first comprehensive study of liking activity in the enterprise. We studied the logs of an enterprise social media platform within a large global organization along a period of seven months, in which 393,720 'likes' were performed. In addition, we conducted a survey of 571 users of the platform's 'like' button. Our evaluation combines quantitative and qualitative analysis to inspect what employees like, why they use the 'like' button, and to whom they give their 'likes'.

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Index Terms

What is Your Organization 'Like'?: A Study of Liking Activity in the Enterprise
1. Human-centered computing
  1. Collaborative and social computing

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cover image ACM Conferences

CHI '16: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

May 2016

6108 pages

ISBN:9781450333627

DOI:10.1145/2858036

General Chairs:
Jofish Kaye
Yahoo
,
Allison Druin
University of Maryland / National Park Service
,
Program Chairs:
Cliff Lampe
University of Michigan
,
Dan Morris
Microsoft
,
Juan Pablo Hourcade
University of Iowa

Copyright © 2016 ACM.

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Published: 07 May 2016

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CHI'16: CHI Conference on Human Factors in Computing Systems

May 7 - 12, 2016

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CHI '16 Paper Acceptance Rate 565 of 2,435 submissions, 23%;

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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https://doi.org/10.26441/RC22.1-2023-3051
Ferguson SOlechowski A(2023)Are We Equal Online?: An Investigation of Gendered Language Patterns and Message Engagement on Enterprise Communication PlatformsProceedings of the ACM on Human-Computer Interaction10.1145/36101737:CSCW2(1-29)Online publication date: 4-Oct-2023
https://dl.acm.org/doi/10.1145/3610173
Liou GMittal JSehgal NTay LUngar LGuntuku S(2023)The online language of work-personal conflictScientific Reports10.1038/s41598-023-48193-313:1Online publication date: 29-Nov-2023
https://doi.org/10.1038/s41598-023-48193-3
Saha KYousuf AHickman LGupta PTay LDe Choudhury M(2021)A Social Media Study on Demographic Differences in Perceived Job SatisfactionProceedings of the ACM on Human-Computer Interaction10.1145/34492415:CSCW1(1-29)Online publication date: 22-Apr-2021
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