research-article

Changes in Engagement Before and After Posting to Facebook

Authors:

Lada A. Adamic,

Mor NaamanAuthors Info & Claims

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

Pages 564 - 574

https://doi.org/10.1145/2858036.2858501

Published: 07 May 2016 Publication History

Abstract

The asynchronous nature of communications on social network sites creates a unique opportunity for studying how posting content interacts with individuals' engagement. This study focuses on the behavioral changes occurring hours before and after contribution to better understand the changing needs and preferences of contributors. Using observational data analysis of individuals' activity on Facebook, we test hypotheses regarding the motivations for site visits, changes in the distribution of attention to content, and shifts in decisions to interact with others. We find that after posting content people are intrinsically motivated to visit the site more often, are more attentive to content from friends (but not others), and choose to interact more with friends (in large part due to reciprocity). In addition, contributors are more active on the site hours before posting and remain more active for less than a day afterwards. Our study identifies a unique pattern of engagement that accompanies contribution and can inform the design of social network sites to better support contributors.

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Index Terms

Changes in Engagement Before and After Posting to Facebook
1. Computing methodologies
  1. Artificial intelligence
    1. Philosophical/theoretical foundations of artificial intelligence
      1. Cognitive science
2. Human-centered computing
  1. Human computer interaction (HCI)

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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
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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 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/10.1080/0144929X.2024.2370432
Etienne HCharton F(2024)A Mimetic Approach to Social Influence on InstagramPhilosophy & Technology10.1007/s13347-024-00736-w37:2Online publication date: 22-May-2024
https://doi.org/10.1007/s13347-024-00736-w
Voinea CMarin LVică C(2024)Digital Slot Machines: Social Media Platforms as Attentional ScaffoldsTopoi10.1007/s11245-024-10031-043:3(685-695)Online publication date: 2-Mar-2024
https://doi.org/10.1007/s11245-024-10031-0
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