research-article

A longitudinal study of Facebook, LinkedIn, & Twitter use

Authors:

Anne Archambault,

Jonathan GrudinAuthors Info & Claims

CHI '12: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Pages 2741 - 2750

https://doi.org/10.1145/2207676.2208671

Published: 05 May 2012 Publication History

Abstract

We conducted four annual comprehensive surveys of social networking at Microsoft between 2008 and 2011. We are interested in how employees use these tools and whether they consider then useful for organizational communication and information-gathering. Our study is longitudinal and based on random sampling. Between 2008 and 2011, social networking went from being a niche activity to being very widely and heavily used. Growth in use and acceptance was not uniform, with differences based on gender, age and level (individual contributor vs. manager). Behaviors and concerns changed, with some showing signs of leveling off.

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Cited By

Das Swain VSaha K(2024)Teacher, Trainer, Counsel, Spy: How Generative AI can Bridge or Widen the Gaps in Worker-Centric Digital Phenotyping of WellbeingProceedings of the 3rd Annual Meeting of the Symposium on Human-Computer Interaction for Work10.1145/3663384.3663401(1-13)Online publication date: 25-Jun-2024
https://dl.acm.org/doi/10.1145/3663384.3663401
Das Swain VGao LMondal AAbowd GDe Choudhury M(2024)Sensible and Sensitive AI for Worker Wellbeing: Factors that Inform Adoption and Resistance for Information WorkersProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642716(1-30)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642716
Vyas PPriya S(2023)Social Media and Gen Y at Work5G, Artificial Intelligence, and Next Generation Internet of Things10.4018/978-1-6684-8634-4.ch005(123-142)Online publication date: 30-Jun-2023
https://doi.org/10.4018/978-1-6684-8634-4.ch005
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Index Terms

A longitudinal study of Facebook, LinkedIn, & Twitter use
1. Human-centered computing
  1. Collaborative and social computing

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Published In

cover image ACM Conferences

CHI '12: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

May 2012

3276 pages

ISBN:9781450310154

DOI:10.1145/2207676

General Chair:
Joseph A. Konstan
University of Minnesota
,
Program Chairs:
Ed H. Chi
Google
,
Kristina Höök
Mobile Life at KTH

Copyright © 2012 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

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Published: 05 May 2012

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CHI '12

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SIGCHI

CHI '12: CHI Conference on Human Factors in Computing Systems

May 5 - 10, 2012

Texas, Austin, USA

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

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Cited By

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https://dl.acm.org/doi/10.1145/3663384.3663401
Das Swain VGao LMondal AAbowd GDe Choudhury M(2024)Sensible and Sensitive AI for Worker Wellbeing: Factors that Inform Adoption and Resistance for Information WorkersProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642716(1-30)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642716
Vyas PPriya S(2023)Social Media and Gen Y at Work5G, Artificial Intelligence, and Next Generation Internet of Things10.4018/978-1-6684-8634-4.ch005(123-142)Online publication date: 30-Jun-2023
https://doi.org/10.4018/978-1-6684-8634-4.ch005
Chandra MDe Choudhury MHorvát ÁHall WContractor NFröhling LOgnayova KTaneja HWeber IGligori? KMejova Y(2023)What Makes Some Workplaces More Favorable to Remote Work? Unpacking Employee Experiences During COVID-19 Via GlassdoorProceedings of the 15th ACM Web Science Conference 202310.1145/3578503.3583602(312-323)Online publication date: 30-Apr-2023
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Das Swain VGao LWood WMatli SAbowd GDe Choudhury M(2023)Algorithmic Power or Punishment: Information Worker Perspectives on Passive Sensing Enabled AI Phenotyping of Performance and WellbeingProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581376(1-17)Online publication date: 19-Apr-2023
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Goodarzi SJiang JHead MLu X(2023)Exploring the impact of online social participation on loneliness in older adults: Evidence from The Canadian Longitudinal Study on AgingInternational Journal of Information Management10.1016/j.ijinfomgt.2023.10268573(102685)Online publication date: Dec-2023
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Cluley R(2023)Consumption and the InternetThe Blackwell Encyclopedia of Sociology10.1002/9781405165518.wbeosc113.pub3(1-3)Online publication date: 28-Nov-2023
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Marín-García PLlobat L(2022)Use of Alternative Methodologies in Veterinary Medicine Learning and Acceptance of StudentsEducation Sciences10.3390/educsci1207047612:7(476)Online publication date: 11-Jul-2022
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Nyagadza B(2022)Search engine marketing and social media marketing predictive trendsJournal of Digital Media & Policy10.1386/jdmp_00036_113:3(407-425)Online publication date: 1-Oct-2022
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