EVALUATING THE SOCIAL IMPACT OF INTERNET MEDIA NEWS

Artem Zakharchenko

doi:10.31648/cetl.2466

Opublikowane: 2017-09-291

Tom 15 Nr 3 (2017)

EVALUATING THE SOCIAL IMPACT OF INTERNET MEDIA NEWS

Artem Zakharchenko

Civitas et Lex

Dział: Nauki o komunikacji społecznej i mediach

https://doi.org/10.31648/cetl.2466

Abstrakt

The goal of the research is to develop a method for measuring topical social information
impact on active people through monitoring the dynamics of social networks users interaction. We
introduced the concept of interactive potential which can be determined through dynamics curve
analysis in order to interact with information. Regular measuring of news’ interactive potential
allows tracing the dynamics of social interest in some topics. We used the method to analyze trending
topics in Ukrainian media and to describe the dynamics of people’s concern with political life and
their readiness for public protests.

Pobierz pliki

PDF (English)

Zasady cytowania

Zakharchenko, A. (2017). EVALUATING THE SOCIAL IMPACT OF INTERNET MEDIA NEWS. Civitas Et Lex, 15(3), 7–21. https://doi.org/10.31648/cetl.2466

Cited by / Share

Bibliografia

A.F. da Rocha, E. Massad, P.C.C. dos Santos, A. Pereira, A neurobiologically inspired model of social cognition: Memes spreading in the Internet, „Biol. Inspired Cogn. Archit”, V. 141(2015), p. 86–96.
Crossref
Google Scholar

E. Even-Dar, A. Shapira, A note on maximizing the spread of influence in social networks, „Inf. Process. Lett”, V. 111, Is. 4(2011), pp.184–187.
Crossref
Google Scholar

A. Singh, Y.N. Singh, Rumor dynamics in weighted scale-free networks with degree correlations, „J. Complex Networks”, V. 3, Is. 3(2015), pp. 450–468. doi:10.1093/comnet/cnu047.
Crossref
Google Scholar

W. Galuba, K. Aberer, Outtweeting the Twitterers − Predicting Information Cascades in Microblogs, “Proceedings of the 3rd Conference on Online Social Networks”, USENIX Association Berkeley (2010), pp. 3−11.
Google Scholar

M. Nekovee, Y. Moreno, G. Bianconi, M. Marsili, Theory of rumour spreading in complex social networks, „Physica A: Statistical Mechanics and its Applications”, vol. 374, no. 1(2007), pp 457–470.
Crossref
Google Scholar

T. Kawamoto, N. Hatano, Viral spreading of daily information in online social networks, „Physica A: Statistical Mechanics and its Applications”, 406(2014), pp 34–41.
Crossref
Google Scholar

A. Guille, H. Hacid, A predictive model for the temporal dynamics of information diffusion in online social networks, WWW ‘12 Companion Proceedings of the 21st International Conference on World Wide Web (2012), pp. 1145−1152.
Crossref
Google Scholar

G.G. Pocheptsov, «House of Cards»: how the clip thinking changes to series thinking, “Khvylia”, (2016), 11 March, available at: <http://hvylya.net/analytics/society/kartochnyiy-domik-kak-na-smenu-klipovomu-myishleniyu-prihodit-serialnoe.html>, accessed June 12, 2017.
Google Scholar

А. Zakharchenko, Measurement of the efficiency of message impact on the activity of social networks members, „Aktualjni pytannja masovoji komunikaciji”, Is. 15(2014), pp 36−49.
Google Scholar