Refining Big Data for the new information source

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dc.abstract.en	More than 90 percent of information is recorded in digital form. Resources of this scale are referred as a Big Data. Analysis of this information can provide a new source of valuable information. In the study the process of obtaining them – especially from social networking sites – is named refining of network information. Confirmation a usefulness of refining are the results of predictions of support for each of the political parties participating in the parliamentary and presidential elections in Poland in 2011 and 2015. The adopted methodology and the results of quantitative research shows that refining of data, only from the Web, can be a reliable source of information about the status and changes of the political sympathies at the time of run-up to elections.
dc.affiliation	Uniwersytet Warszawski
dc.contributor.author	Gogołek, Włodzimierz
dc.date.accessioned	2024-01-25T19:08:53Z
dc.date.available	2024-01-25T19:08:53Z
dc.date.issued	2019
dc.description.finance	Nie dotyczy
dc.description.volume	2 (14)
dc.identifier.issn	2579-2601
dc.identifier.uri	https://repozytorium.uw.edu.pl//handle/item/118143
dc.identifier.weblink	http://publishing.ysu.am
dc.language	eng
dc.pbn.affiliation	social communication and media studies
dc.relation.ispartof	Journalism and Communication (Issues of Theory and History)
dc.relation.pages	15-29
dc.rights	ClosedAccess
dc.sciencecloud	nosend
dc.title	Refining Big Data for the new information source
dc.type	JournalArticle
dspace.entity.type	Publication