Divergent co-evolution of humediamatics and information portals by criterion of influence on population tolerance

Research outputpeer-review

Abstract

The unification of information environments, technological innovations of adverts sales, and media out-convergence all together make the consideration of new media relevance and such maxim of the e-government as tolerance burning. While perceiving media-content the viewer's "Self" becomes the metanarrative in the era of "big data" bases and is likely to leave less and less room for "Other". A new concept humediamatics as extremely individualized new media is introduced and it is separated from the information portals, shared government services (EG) by the criterion of influence on population tolerance. Characteristics of such divergence are revealed and problematized, potential mistakes of Governance pressures in Institutionalization organization are shown.

Original languageEnglish
Title of host publicationeGose 2017 - 2017 International Conference on Electronic Governance and Open Society
Subtitle of host publicationChallenges in Eurasia, Proceedings
PublisherAssociation for Computing Machinery
Pages78-84
Number of pages7
VolumePart F130282
ISBN (Electronic)9781450354127
DOIs
Publication statusPublished - 4 Sep 2017
Externally publishedYes
EventACM International Conference Proceeding Series: International Conference "Electronic Governance and Open Society: Challenges in Eurasia" (EGOSE 2017) - St Petersburg
Duration: 4 Sep 20176 Sep 2017
http://egov-conf.ifmo.ru/summing.html
http://www.scopus.com/inward/record.url?eid=2-s2.0-85030114758&partnerID=MN8TOARS

Conference

ConferenceInternational Conference on Electronic Governance and Open Society - Challenges in Eurasia
Abbreviated titleeGose
CountryRussian Federation
CitySt Petersburg
Period4/09/176/09/17
Internet address

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Sales
Innovation
Big data

Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

Cite this

Ulianovskii, A., Filatova, O., Dobrova, T., & Shelonaev, S. (2017). Divergent co-evolution of humediamatics and information portals by criterion of influence on population tolerance. In eGose 2017 - 2017 International Conference on Electronic Governance and Open Society: Challenges in Eurasia, Proceedings (Vol. Part F130282, pp. 78-84). Association for Computing Machinery. https://doi.org/10.1145/3129757.3129772, https://doi.org/10.1145/3129757.3129772
Ulianovskii, Andrei ; Filatova, Olga ; Dobrova, Tatiana ; Shelonaev, Sergey. / Divergent co-evolution of humediamatics and information portals by criterion of influence on population tolerance. eGose 2017 - 2017 International Conference on Electronic Governance and Open Society: Challenges in Eurasia, Proceedings. Vol. Part F130282 Association for Computing Machinery, 2017. pp. 78-84
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Ulianovskii, A, Filatova, O, Dobrova, T & Shelonaev, S 2017, Divergent co-evolution of humediamatics and information portals by criterion of influence on population tolerance. in eGose 2017 - 2017 International Conference on Electronic Governance and Open Society: Challenges in Eurasia, Proceedings. vol. Part F130282, Association for Computing Machinery, pp. 78-84, St Petersburg, 4/09/17. https://doi.org/10.1145/3129757.3129772, https://doi.org/10.1145/3129757.3129772

Divergent co-evolution of humediamatics and information portals by criterion of influence on population tolerance. / Ulianovskii, Andrei; Filatova, Olga; Dobrova, Tatiana; Shelonaev, Sergey.

eGose 2017 - 2017 International Conference on Electronic Governance and Open Society: Challenges in Eurasia, Proceedings. Vol. Part F130282 Association for Computing Machinery, 2017. p. 78-84.

Research outputpeer-review

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Ulianovskii A, Filatova O, Dobrova T, Shelonaev S. Divergent co-evolution of humediamatics and information portals by criterion of influence on population tolerance. In eGose 2017 - 2017 International Conference on Electronic Governance and Open Society: Challenges in Eurasia, Proceedings. Vol. Part F130282. Association for Computing Machinery. 2017. p. 78-84 https://doi.org/10.1145/3129757.3129772, https://doi.org/10.1145/3129757.3129772