Hansen, D., Shneiderman, B., and Smith, M.A. Analyzing Social Media Networks with NodeXL: Insights from a Connected World, Morgan Kaufmann Publishers, San Francisco, CA, 2011.

Digital Library

Google Scholar

[5]

Hendler, J. et al. Web Science: An interdisciplinary approach to understanding the Web. Commun. ACM 51, 7 (July 2008), 62--69.

Digital Library

Google Scholar

[6]

Lanier, J. You Are Not a Gadget: A Manifesto, Knopf Publishers, NY, 2010.

Digital Library

Google Scholar

[7]

Latour, B. and Woolgar, S. Laboratory Life: The Construction of Scientific Facts. Princeton University Press, Princeton, NJ, 1986.

Google Scholar

[8]

Lazer, D., et al. Computational social science. Science 323 (Feb. 6, 2009), 721--723.

Crossref

Google Scholar

[9]

Lichtenstein, J. Digital diplomacy. New York Times Magazine (July 18, 2010), 24--29.

Google Scholar

[10]

Olson, G.M., Zimmerman, A., and Bos, N., Eds., Scientific Collaboration on the Internet, MIT Press, Cambridge, MA, 2008.

Digital Library

Google Scholar

[11]

Ostrom, E. Governing the Commons: The Evolution of Institutions for Collective Action. Cambridge University Press, NY, 1990.

Crossref

Google Scholar

[12]

Pirolli, P., Preece, J., and Shneiderman, B., Eds., Technology-mediated social participation (cover feature with seven articles). IEEE Computer 43, 11 (Nov. 2010), 20--67.

Google Scholar

[13]

Preece, J. and Shneiderman, B. The Reader-to-Leader Framework: Motivating technology-mediated social participation. AIS Transactions on Human-Computer Interaction 1, 1 (Mar. 2009), 13--32; http://aisel.aisnet.org/thci/vol1/iss1/5/

Crossref

Google Scholar

[14]

Shirky, C. Cognitive Surplus: Creativity and Generosity in a Connected Age. Penguin Press, NY, 2010.

Google Scholar

[15]

Tapscott, D. and Williams, A.D. MacroWikinomics: Rebooting Business and the World. Portfolio, NY, 2010.

Google Scholar

[16]

Van Alstyne, M. and Brynjolfsson, E. Global village or cyber-balkans? Modeling and measuring the integration of electronic communities. Management Science 51, 6 (June 2005), 851--868.

Digital Library

Google Scholar

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Naem MOkafor S(2022)User-Generated Content and Consumer Brand EngagementResearch Anthology on Social Media Advertising and Building Consumer Relationships10.4018/978-1-6684-6287-4.ch018(304-331)Online publication date: 13-May-2022
https://doi.org/10.4018/978-1-6684-6287-4.ch018
Wang MLi D(2020)What motivates audience comments on live streaming platforms?PLOS ONE10.1371/journal.pone.023125515:4(e0231255)Online publication date: 9-Apr-2020
https://doi.org/10.1371/journal.pone.0231255
Naem MOkafor S(2019)User-Generated Content and Consumer Brand EngagementLeveraging Computer-Mediated Marketing Environments10.4018/978-1-5225-7344-9.ch009(193-220)Online publication date: 2019
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Index Terms

Realizing the value of social media requires innovative computing research
1. Social and professional topics
  1. Professional topics
    1. Management of computing and information systems
      1. Project and people management

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Communications of the ACM Volume 54, Issue 9

September 2011

121 pages

ISSN:0001-0782

EISSN:1557-7317

DOI:10.1145/1995376

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Naem MOkafor S(2022)User-Generated Content and Consumer Brand EngagementResearch Anthology on Social Media Advertising and Building Consumer Relationships10.4018/978-1-6684-6287-4.ch018(304-331)Online publication date: 13-May-2022
https://doi.org/10.4018/978-1-6684-6287-4.ch018
Wang MLi D(2020)What motivates audience comments on live streaming platforms?PLOS ONE10.1371/journal.pone.023125515:4(e0231255)Online publication date: 9-Apr-2020
https://doi.org/10.1371/journal.pone.0231255
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https://doi.org/10.4018/978-1-5225-7344-9.ch009
Zanker MRook LJannach D(2019)Measuring the Impact of Online Personalisation: Past, Present and FutureInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2019.06.006Online publication date: Jun-2019
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Lenk MKrahel JJanvrin DConsidine B(2018)Social Technology: An Integrated Strategy and Risk Management FrameworkJournal of Information Systems10.2308/isys-5206533:2(129-153)Online publication date: 1-Feb-2018
https://doi.org/10.2308/isys-52065
Herman E(2018)Scholarly reputationFEMS Microbiology Letters10.1093/femsle/fny200365:18Online publication date: 9-Aug-2018
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Daniel EHartnett EMeadows M(2017)Don’t throw rocks from the side-linesInformation Technology & People10.1108/ITP-02-2015-003630:3(542-561)Online publication date: 7-Aug-2017
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Li XWang ZGao CShi L(2017)Reasoning human emotional responses from large-scale social and public mediaApplied Mathematics and Computation10.1016/j.amc.2017.03.031310:C(182-193)Online publication date: 1-Oct-2017
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Whelan ETeigland RVaast EButler B(2016)Expanding the horizons of digital social networksInformation and Organization10.1016/j.infoandorg.2016.03.00126:1(1-12)Online publication date: 1-Jun-2016
https://dl.acm.org/doi/10.1016/j.infoandorg.2016.03.001
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Social Media Marketing: A Beginner Guide To Get Success In Your Business (Volume 1)

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