Abstract
In just a decade social networks and social media have gained considerable stake in the Internet market, with most of the users being online, communicating and creating the user-generated Web. The literature has examined in numerous ways the engagement of the users in those services but only a few large-scale studies have been conducted in Greece. Using a sample of 5922 academicians, personnel and students from all the Greek Universities and Research Institutes, this paper examines the adoption of major social networking sites and internet services in relation with the participants’ experience in the Academia in years, level of education, academic knowledge field, gender, internet connection type and electronic device most frequently used. The taxonomy framework of social machines (Smart et al., A taxonomic framework for social machines. In: Social collective intelligence: combining the powers of humans and machines to build a smarter society. Springer International Publishing, Cham, pp 51–85, 2014) is used to organize the discussion about the results. The study shows a strong correlation between the SNSs used simultaneously by the participants, whereas there is also correlation of the years of experience in the Academia with specific SNSs. There is also high level of mobile internet usage in all the groups of the study which is correlated with the usage of specific SNSs.
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References
Facebook Inc. (2018) Facebook reports first quarter 2018 results. https://investor.fb.com/investor-news/press-release-details/2018/Facebook-Reports-First-Quarter-2018-Results/default.aspx
Boyd DM, Ellison NB (2007) Social network sites: definition, history, and scholarship. J Comput-Mediat Commun 13(1):210–230. https://doi.org/10.1111/j.1083-6101.2007.00393.x
Kaplan AM (2015) Social media, the digital revolution, and the business of media. Int J Media Manag 17(4):197–199. https://doi.org/10.1080/14241277.2015.1120014
Androniki K (2014) Social media, online imagined communities and communication research. Libr Rev 63(6/7):490–504. https://doi.org/10.1108/LR-06-2014-0076
Lehdonvirta V, Räsänen P (2011) How do young people identify with online and offline peer groups? A comparison between UK, Spain and Japan. J Youth Stud 14(1):91–108. https://doi.org/10.1080/13676261.2010.506530
Smart P, Simperl E, Shadbolt N (2014) A taxonomic framework for social machines. In: Miorandi D, Maltese V, Rovatsos M, Nijholt A, Stewart J (eds) Social collective intelligence: combining the powers of humans and machines to build a smarter society. Springer International Publishing, Cham, pp 51–85. https://doi.org/10.1007/978-3-319-08681-1_3
Roush W (2005) Social machines: computing means connecting. Technol Rev 108(8):44
Berners-Lee T, Fischetti M (2001) Weaving the web: the original design and ultimate destiny of the world wide web by its inventor. DIANE Publishing Company, Collingdale
Luczak-Roesch M, Tinati R, Shadbolt N (2015) When resources collide: towards a theory of coincidence in information spaces. Paper presented at the Proceedings of the 24th International Conference on World Wide Web, Florence
Kleek MV, Smith DA, Murray-Rust D, Guy A, O’Hara K, Dragan L, Shadbolt NR (2015) Social personal data stores: the nuclei of decentralised social machines. Paper presented at the Proceedings of the 24th International Conference on World Wide Web, Florence
Duffy BR (2008) Fundamental issues in affective intelligent social machiness. Open Artif Intell J 2(1):21–34. https://doi.org/10.2174/1874061800802010021
Meira SR, Buregio VA, Nascimento LM, Figueiredo E, Neto M, Encarnacao B, Garcia VC (2011) The emerging web of social machines. In: Computer Software and Applications Conference (COMPSAC), 2011 IEEE 35th Annual. IEEE, pp 26–27
Vass J, Munson JE (2015) Revisiting the three Rs of social machines: reflexivity, recognition and responsivity. Paper presented at the Proceedings of the 24th International Conference on World Wide Web, Florence
Palermos SO (2017) Social machines: a philosophical engineering. Phenomenol Cogn Sci 16(5):953–978. https://doi.org/10.1007/s11097-016-9489-4
Shadbolt NR, Smith DA, Simperl E, Kleek MV, Yang Y, Hall W (2013) Towards a classification framework for social machines. Paper presented at the Proceedings of the 22nd International Conference on World Wide Web, Rio de Janeiro
Roure DD, Hooper C, Page K, Tarte S, Willcox P (2015) Observing social machines part 2: how to observe? Paper presented at the Proceedings of the ACM Web Science Conference, Oxford
comScore (2018) Global digital future in focus 2018. https://www.comscore.com/Insights/Presentations-and-Whitepapers/2018/Global-Digital-Future-in-Focus-2018.
Kathimerini (2014) YouTube is the most popular social network in Greece. http://www.kathimerini.gr/551925/article/texnologia/diadiktyo/to-youtube-dhmofilestero-koinwniko-diktyo-sthn-ellada. Accessed 24 Jul 2018
Reuters Institute for the Study of Journalism (2018) Digital news report 2018
Sigerson L, Cheng C (2018) Scales for measuring user engagement with social network sites: a systematic review of psychometric properties. Comput Hum Behav 83:87–105. https://doi.org/10.1016/j.chb.2018.01.023
The Wall Street Journal (2012) The Mounting Minutes at Google+. https://www.wsj.com/articles/SB10001424052970204653604577249341403742390. Accessed 21 Jul 2018
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Fragkopoulos, D. (2019). Internet Services and Social Networks in the Greek Academia. In: Kavoura, A., Kefallonitis, E., Giovanis, A. (eds) Strategic Innovative Marketing and Tourism. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-030-12453-3_32
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