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Socioeconomic Inequalities in the Non use of Facebook

Published:21 April 2018Publication History

ABSTRACT

Use and non-use of technology can occur in a variety of forms. This paper analyzes data from a probabilistic sample of 1000 US households to identify predictors for four different types of use and non-use of the social media site Facebook. The results make three important contributions. First, they demonstrate that many demographic and socioeconomic predictors of social media use and non-use identified in prior studies hold with a larger, more diverse sample. Second, they show how going beyond a binary distinction between use and non-use reveals inequalities in social media use and non-use not identified in prior work. Third, they contribute to ongoing discussions about the representativeness of social media data by showing which populations are, and are not, represented in samples drawn from social media.

References

  1. Alessandro Acquisti and Ralph Gross. 2006. Imagined Communities: Awareness, Information Sharing, and Privacy on the Facebook. In Proceedings of the Privacy Enhancing Technology Symposium, 36--58. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. H. Akaike. 1974. A new look at the statistical model identification. Automatic Control, IEEE Transactions on 19, 6: 716--723.Google ScholarGoogle ScholarCross RefCross Ref
  3. Anne Archambault and Jonathan Grudin. 2012. A Longitudinal Study of Facebook, LinkedIn, & Twitter Use. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI), 2741--2750. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. David Bamman, Jacob Eisenstein, and Tyler Schnoebelen. 201 Gender identity and lexical variation in social media. Journal of Sociolinguistics 18, 2: 135--160.Google ScholarGoogle Scholar
  5. Solon Barocas and Andrew D. Selbst. 2016. Big Data's Disparate Impact. California Law Review 104, 3: 671--732.Google ScholarGoogle Scholar
  6. Eric P. S. Baumer, Phil Adams, Vera D. Khovanskaya, Tony C. Liao, Madeline E. Smith, Victoria Schwanda Sosik, and Kaiton Williams. 2013. Limiting, Leaving, and (Re)Lapsing: An Exploration of Facebook Non-use Practices and Experiences. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI), 3257--326 Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Eric P. S. Baumer, Jenna Burrell, Morgan G. Ames, Jed R. Brubaker, and Paul Dourish. 2015. On the Importance and Implications of Studying Technology Non-use. interactions 22, 2: 52--56. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Eric P. S. Baumer, Shion Guha, Emily Quan, David Mimno, and Geri K. Gay. 2015. Missing Photos, Suffering Withdrawal, or Finding Freedom? How Experiences of Social Media Non-Use Influence the Likelihood of Reversion. Social Media+ Society 1, 2.Google ScholarGoogle Scholar
  9. Geoffrey C. Bowker and Susan Leigh Star. 199 Sorting Things Out: Classification and Its Consequences. MIT Press. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. danah boyd. 2011. White Flight in Networked Publics? How Race and Class Shaped American Teen Engagement with MySpace and Facebook. In Race After the Internet, Lisa Nakamura and Peter Chow-White (eds.). Routledge, New York, 203--222.Google ScholarGoogle Scholar
  11. 1danah boyd. 2014. It's Complicated: The Social Lives of Networked Teens. Yale University Press, New Haven. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. danah boyd and Kate Crawford. 20 Critical Questions for Big Data. Information, Communication & Society 15, 5: 662--679.Google ScholarGoogle Scholar
  13. Ryan Bradley. 2014. Understanding Facebook's Lost Generation of Teens. Fast Company. Retrieved April 17, 2017 from https://www.fastcompany.com/3031259/these-kids-todayGoogle ScholarGoogle Scholar
  14. Jed R. Brubaker, Mike Ananny, and Kate Crawford. 20 Departing glances: A sociotechnical account of "leaving" Grindr. New Media & Society 18, 3: 373--390.Google ScholarGoogle Scholar
  15. Moira Burke and Robert Kraut. 2013. Using Facebook After Losing a Job: Differential Benefits of Strong and Weak Ties. In Proceedings of the ACM Conference on Computer Supported Cooperative Work (CSCW) (CSCW '13), 1419--1430. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Jaehee Cho, Dong Jin Park, and Zoa Ordonez. 2013. Communication-Oriented Person--Organization Fit as a Key Factor of Job-Seeking Behaviors: Millennials' Social Media Use and Attitudes Toward Organizational Social Media Policies. Cyberpsychology, Behavior, and Social Networking 16, 11: 794--799.Google ScholarGoogle ScholarCross RefCross Ref
  17. Cristian Danescu-Niculescu-Mizil, Robert West, Dan Jurafsky, Jure Leskovec, and Christopher Potts. 2013. No Country for Old Members: User Lifecycle and Linguistic Change in Online Communities. In Proceedings of the International Conference on World Wide Web (WWW), 307--318. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. José van Dijck. 2013. 'You have one identity': performing the self on Facebook and LinkedIn. Media, Culture & Society 35, 2: 199--215.Google ScholarGoogle ScholarCross RefCross Ref
  19. Nicolas Ducheneaut, Nicholas Yee, Eric Nickell, and Robert J. Moore. 2007. The Life and Death of Online Gaming Communities: A look at guilds in world of warcraft. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI), 839--848. Retrieved February 17, 2017 from http://dl.acm.org/citation.cfm?id=1240750 Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Maeve Duggan, Nicole B. Ellison, Cliff Lampe, Amanda Lenhart, and Mary Madden. 2015. Pew Social Meida Report 2015. Pew Research Center, Washington, D.C. Retrieved from http://www.pewinternet.org/2015/01/09/social-media-update-2014/Google ScholarGoogle Scholar
  21. 2Nicole B Ellison, Rebecca Gray, Cliff Lampe, and Andrew T Fiore. 2014. Social capital and resource requests on Facebook. New Media & Society 16, 7: 1104--11Google ScholarGoogle ScholarCross RefCross Ref
  22. 2Nicole B. Ellison, Charles Steinfield, and Cliff Lampe. 2007. The Benefits of Facebook "Friends:" Social Capital and College Students' Use of Online Social Network Sites. Journal of Computer-Mediated Communication 12, 4: 1143--1168.Google ScholarGoogle ScholarCross RefCross Ref
  23. Equal Employment Opportunity Commission and Federal Trade Commission. Background Checks: What Job Applicants and Employees Should Know. Retrieved December 6, 2016 from https://www.eeoc.gov/eeoc/publications/background_checks_employees.cfmGoogle ScholarGoogle Scholar
  24. Facebook. How do I deactivate my account? Retrieved July 1, 2017 from https://www.facebook.com/help/214376678584711Google ScholarGoogle Scholar
  25. Jolene Galegher, Lee Sproull, and Sara Kiesler. 1998. Legitimacy, Authority, and Community in Electronic Support Groups. Written Communication 15: 493--530.Google ScholarGoogle ScholarCross RefCross Ref
  26. Amy L. Gonzales and Jeffrey T. Hancock. 2011. Mirror, Mirror on my Facebook Wall: Effects of Exposure to Facebook on Self-Esteem. Cyberpsychology, Behavior, and Social Networking 14, 1--2: 79--83.Google ScholarGoogle ScholarCross RefCross Ref
  27. Mark S. Granovetter. 1973. The Strength of Weak Ties. American Journal of Sociology 78, 6: 1360--1380.Google ScholarGoogle ScholarCross RefCross Ref
  28. Jeniffer Grasz. 2014. Number of Employers Passing on Applicants Due to Social Media Posts Continues to Rise, According to New CareerBuilder Survey - CareerBuilder. CareerBuilder. Retrieved December 6, 2016 from http://www.careerbuilder.com/share/aboutus/pressreleasesdetail.aspx'sd=6%2F26%2F2014&id=pr829&ed=12%2F31%2F2014Google ScholarGoogle Scholar
  29. Glenn Greenwald. 2014. No Place to Hide: Edward Snowden, the NSA, and the U.S. surveillance state. Metropolitan Books. Google ScholarGoogle ScholarDigital LibraryDigital Library
  30. Shannon Greenwood, rew Perrin, and Maeve Duggan. 2016. Social Media Update 2016. Pew Research Center: Internet, Science & Tech. Retrieved April 17, 2017 from http://www.pewinternet.org/2016/11/11/social-media-update-2016/Google ScholarGoogle Scholar
  31. 3Lisa Guerin. nd. Can Potential Employers Check Your Facebook Page? Nolo.com. Retrieved December 6, 2016 from http://www.nolo.com/legal-encyclopedia/can-potential-employers-check-your-facebook-page.htmlGoogle ScholarGoogle Scholar
  32. 3Jeffrey T. Hancock, Catalina Toma, and Nicole Ellison. 2007. The Truth About Lying in Online Dating Profiles. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI), 449--452. Google ScholarGoogle ScholarDigital LibraryDigital Library
  33. 3E. Hargittai. 2015. Is Bigger Always Better? Potential Biases of Big Data Derived from Social Network Sites. The ANNALS of the American Academy of Political and Social Science 659, 1: 63--76.Google ScholarGoogle ScholarCross RefCross Ref
  34. Eszter Hargittai. 2005. Survey Measures of Web-Oriented Digital Literacy. Social Science Computer Review 23, 3: 371--379. Google ScholarGoogle ScholarDigital LibraryDigital Library
  35. Eszter Hargittai. 2007. Whose Space? Differences Among Users and Non-Users of Social Network Sites. Journal of Computer-Mediated Communication 13, 1: 276--297. Google ScholarGoogle ScholarCross RefCross Ref
  36. Eszter Hargittai and Yu-li Patrick Hsieh. 2010. From Dabblers to Omnivores: A Typology of Social Network Site Usage. In A Networked Self: Identity, Community, and Culture on Social Network Sites, Zizi Papacharissi (ed.). Routledge, New York, 146--168.Google ScholarGoogle Scholar
  37. 3Adam N Joinson. 2008. 'Looking at'', 'Looking up'' or 'Keeping up with'' People? Motives and Uses of Facebook.'"' In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI), 1027--1036. Google ScholarGoogle ScholarDigital LibraryDigital Library
  38. 3David Kirkpatrick. 2017. Report: No, teens are not abandoning Facebook. Marketing Dive. Retrieved April 17, 2017 from http://www.marketingdive.com/news/report-no-teens-are-not-abandoning-facebook/434511/Google ScholarGoogle Scholar
  39. 3Cliff Lampe, Nicole B Ellison, and Charles Steinfield. 2008. Changes in Use and Perception of Facebook. In Proceedings of the ACM Conference on Computer Supported Cooperative Work (CSCW), 721--730. Google ScholarGoogle ScholarDigital LibraryDigital Library
  40. Cliff Lampe, Nicole Ellison, and Charles Steinfield. 2006. A Face(book) in the Crowd: Social Searching vs. Social Browsing. In Proceedings of the ACM Conference on Computer Supported Cooperative Work (CSCW), 167--170. Google ScholarGoogle ScholarDigital LibraryDigital Library
  41. 4Cliff Lampe, Jessica Vitak, and Nicole Ellison. 2013. Users and Nonusers: Interactions between Levels of Facebook Adoption and Social Capital. In Proceedings of the ACM Conference on Computer Supported Cooperative Work (CSCW), 809--819. Google ScholarGoogle ScholarDigital LibraryDigital Library
  42. 4Nico Lang. 2015. Why teens are leaving Facebook: It's 'meaningless.' The Washington Post. Retrieved April 17, 2017 from https://www.washingtonpost.com/news/the-intersect/wp/2015/02/21/why-teens-are-leaving-facebook-its-meaningless/?utm_term=.749193135b04Google ScholarGoogle Scholar
  43. 4David Lazer, Alex Pentland, Lada Adamic, Sinan Aral, Albert-László Barabási, Devon Brewer, Nicholas Christakis, Noshir Contractor, James Fowler, Myron Gutmann, Tony Jebara, Gary King, Michael Macy, Deb Roy, and Marshall Van Alstyne. 2009. Computational Social Science. Science 323, 5915: 721--723.Google ScholarGoogle Scholar
  44. 4Rachel M. Magee, Denise E. Agosto, and Andrea Forte. 2017. Four Factors That Regulate Teen Technology Use in Everyday Life. In Proceedings of the ACM Conference on Computer Supported Cooperative Work & Social Computing (CSCW), 511--522. Google ScholarGoogle ScholarDigital LibraryDigital Library
  45. 4Pamela Paxton. 1999. Is Social Capital Declining in the United States? A Multiple Indicator Assessment. American Journal of Sociology 105, 1: 88--127.Google ScholarGoogle ScholarCross RefCross Ref
  46. 4Defen Peng and Gilbert MacKenzie. 2014. Discrepancy and Choice of Reference Subclass in Categorical Regression Models. In Statistical Modelling in Biostatistics and Bioinformatics, Gilbert MacKenzie and Defen Peng (eds.). Springer International Publishing, 159--184.Google ScholarGoogle Scholar
  47. 4Andrew Perrin and Maeve Duggan. 2015. Americans' Internet Access: 2000--2015. Pew Research Center, Washington, D.C. Retrieved August 28, 2017 from http://www.pewinternet.org/2015/06/26/americans-internet-access-2000--2015/Google ScholarGoogle Scholar
  48. 4Laura Portwood-Stacer. 2014. Care Work and the Stakes of Social Media Refusal. New Criticals. Retrieved December 8, 2016 from http://www.newcriticals.com/care-work-and-the-stakes-of-social-media-refusalGoogle ScholarGoogle Scholar
  49. 4Jennifer Preece and Ben Shneiderman. 2009. The reader-to-leader framework: Motivating technology-mediated social participation. AIS Transactions on Human-Computer Interaction 1, 1: 13--32.Google ScholarGoogle ScholarCross RefCross Ref
  50. James Queally and Brian Bennett. 2016. Apple opposes order to help FBI unlock phone belonging to San Bernardino shooter. Los Angeles Times. Retrieved from http://www.latimes.com/local/lanow/la-me-ln-fbi-apple-san-bernardino-phone-20160216-story.htmlGoogle ScholarGoogle Scholar
  51. 5Lee Rainie, Aaron Smith, and Maeve Duggan. 2013. Coming and Going on Facebook. Pew Research Center, Pew Internet and American Life Project, Washington, D.C. Retrieved from http://www.pewinternet.org/ /media//Files/Reports/2013/PIP_Coming_and_going_on_facebook.pdfGoogle ScholarGoogle Scholar
  52. 5Howard Rheingold. 2002. Smart Mobs: The Next Social Revolution. Basic Books, Cambridge, MA. Google ScholarGoogle ScholarDigital LibraryDigital Library
  53. 5Mattias Rost, Louise Barkhuus, Henriette Cramer, and Barry Brown. 2013. Representation and Communication: Challenges in Interpreting Large Social Media Datasets. In Proceedings of the ACM Conference on Computer Supported Cooperative Work (CSCW), 357--362. Google ScholarGoogle ScholarDigital LibraryDigital Library
  54. 5Tracii Ryan and Sophia Xenos. 2011. Who uses Facebook? An investigation into the relationship between the Big Five, shyness, narcissism, loneliness, and Facebook usage. Computers in Human Behavior 27, 5: 1658--1664. Google ScholarGoogle ScholarCross RefCross Ref
  55. 5Nithya Sambasivan, Ed Cutrell, Kentaro Toyama, and Bonnie Nardi. 2010. Intermediated Technology Use in Developing Communities. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI), 2583--2592. Google ScholarGoogle ScholarDigital LibraryDigital Library
  56. 5Christine Satchell and Paul Dourish. 2009. Beyond the user: use and non-use in HCI. In Proceedings of the Australasian Computer-Human Interaction Conference (OZCHI), 9--16. Retrieved November 15, 2016 from http://dl.acm.org/citation.cfm?id=1738829 Google ScholarGoogle ScholarDigital LibraryDigital Library
  57. 5Ari Schlesinger, W. Keith Edwards, and Rebecca E. Grinter. 2017. Intersectional HCI: Engaging Identity Through Gender, Race, and Class. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI), 5412--5427. Google ScholarGoogle ScholarDigital LibraryDigital Library
  58. 5Sarita Yardi Schoenebeck. 2014. Giving up Twitter for Lent: How and Why We Take Breaks from Social Media. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI), 773--782. Google ScholarGoogle ScholarDigital LibraryDigital Library
  59. 5Jonathan A. Segal and Joyce LeMay. 2014. Should Employers Use Social Media to Screen Job Applicants? HR Magazine. Retrieved December 6, 2016 from https://www.shrm.org/hr-today/news/hr-magazine/pages/1114-social-media-screening.aspxGoogle ScholarGoogle Scholar
  60. Alina Selyukh and Camila Domonoske. 2016. Apple, The FBI And iPhone Encryption: A Look At What's At Stake. NPR.org. Retrieved September 12, 2017 from http://www.npr.org/sections/thetwo-way/2016/02/17/467096705/apple-the-fbi-and-iphone-encryption-a-look-at-whats-at-stakeGoogle ScholarGoogle Scholar
  61. 6Clay Shirky. 2008. Here Comes Everybody: The Power of Organizing without Organizations. Penguin Press, New York.Google ScholarGoogle Scholar
  62. 6Aaron Smith. 2015. U.S. Smartphone Use in 2015. Pew Research Center, Washington, D.C. Retrieved August 28, 2017 from http://www.pewinternet.org/2015/04/01/us-smartphone-use-in-2015/Google ScholarGoogle Scholar
  63. 6Aaron Smith. 2017. Record shares of Americans now own smartphones, have home broadband. Pew Research Center, Washington, D.C. Retrieved August 28, 2017 from http://www.pewresearch.org/fact-tank/2017/01/12/evolution-of-technology/Google ScholarGoogle Scholar
  64. 6Stefan Stieger, Christoph Burger, Manuel Bohn, and Martin Voracek. 2013. Who Commits Virtual Identity Suicide? Differences in Privacy Concerns, Internet Addiction, and Personality between Facebook Users and Quitters. Cyberpsychology, Behavior, and Social Networking 16, 9: 629--34.Google ScholarGoogle ScholarCross RefCross Ref
  65. 6P. J. Tichenor, G. A. Donohue, and C. N. Olien. 1970. Mass Media Flow and Differential Growth in Knowledge. Public Opinion Quarterly 34, 2: 159--170.Google ScholarGoogle ScholarCross RefCross Ref
  66. 6Catalina L. Toma and Jeffrey T. Hancock. 2010. Looks and Lies: The Role of Physical Attractiveness in Online Dating Self-Presentation and Deception. Communication Research 37, 3: 335--351.Google ScholarGoogle ScholarCross RefCross Ref
  67. 6Kentaro Toyama. 2010. Can Technology End Poverty? Boston Review 35.Google ScholarGoogle Scholar
  68. 6Zeynep Tufekci. 2008. Grooming, Gossip, Facebook and MySpace. Information, Communication & Society 11, 4: 544--564.Google ScholarGoogle ScholarCross RefCross Ref
  69. 6Johan Ugander, Lars Backstrom, Cameron Marlow, and Jon Kleinberg. 2012. Structural diversity in social contagion. Proceedings of the National Academy of Sciences (PNAS) 109, 16: 5962--5966.Google ScholarGoogle ScholarCross RefCross Ref
  70. US Census Bureau. 2010. United States Census 2010. Retrieved August 21, 2017 from https://www.census.gov/schools/pdf/2010form_info.pdfGoogle ScholarGoogle Scholar
  71. 7Patti M. Valkenburg and Jochen Peter. 2007. Preadolescents' and adolescents' online communication and their closeness to friends. Developmental Psychology 43, 2: 267--277.Google ScholarGoogle ScholarCross RefCross Ref
  72. 7Yi-Chia Wang, Moira Burke, and Robert E. Kraut. 2013. Gender, Topic, and Audience Response: An Analysis of User-generated Content on Facebook. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI), 31--34. Google ScholarGoogle ScholarDigital LibraryDigital Library
  73. 7Barry Wellman and Scot Wortley. 1990. Different Strokes from Different Folks: Community Ties and Social Support. American Journal of Sociology 96, 3: 558--588.Google ScholarGoogle ScholarCross RefCross Ref
  74. 7Sally Wyatt. 2003. Non-Users Also Matter: The Construction of Users and Non-Users of the Internet. In How Users Matter: The Co-construction of Users and Technology, Nelly Oudshoorn and Trevor Pinch (eds.). MIT Press, Cambridge, MA, 67--79.Google ScholarGoogle Scholar
  75. 7Susan P. Wyche, Sarita Yardi Schoenebeck, and Andrea Forte. 2013. "Facebook is a Luxury": An Exploratory Study of Social Media Use in Rural Kenya. In Proceedings of the ACM Conference on Computer Supported Cooperative Work & Social Computing (CSCW), 33--43. Google ScholarGoogle ScholarDigital LibraryDigital Library
  76. 7Kim Zetter. 2016. Apple's FBI Battle Is Complicated. Here's What's Really Going On. WIRED. Retrieved September 12, 2017 from https://www.wired.com/2016/02/apples-fbi-battle-is-complicated-heres-whats-really-going-on/Google ScholarGoogle Scholar
  77. 7Facebook Live | Live Video Streaming. Retrieved September 12, 2017 from http://live.fb.com/Google ScholarGoogle Scholar
  78. 7Black Lives Matter | Freedom & Justice for all Black Lives. Retrieved September 12, 2017 from http://blacklivesmatter.com/Google ScholarGoogle Scholar

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      cover image ACM Conferences
      CHI '18: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
      April 2018
      8489 pages
      ISBN:9781450356206
      DOI:10.1145/3173574

      Copyright © 2018 ACM

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      • Published: 21 April 2018

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