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Application of linguistic cues in the analysis of language of hate groups

creativeworkseries.issn1508-2806
dc.contributor.authorBalcerzak, Bartłomiej
dc.contributor.authorJaworski, Wojciech
dc.date.available2017-09-21T06:52:45Z
dc.date.issued2015
dc.descriptionBibliogr. s. 155-156.
dc.description.abstractHate speech and fringe ideologies are social phenomena that thrive on-line. Members of the political and religious fringe are able to propagate their ideas via the Internet with less effort than in traditional media. In this article, we attempt to use linguistic cues such as the occurrence of certain parts of speech in order to distinguish the language of fringe groups from strictly informative sources. The aim of this research is to provide a preliminary model for identifying deceptive materials online. Examples of these would include aggressive marketing and hate speech. For the sake of this paper, we aim to focus on the political aspect. Our research has shown that information about sentence length and the occurrence of adjectives and adverbs can provide information for the identification of differences between the language of fringe political groups and mainstream media.en
dc.description.placeOfPublicationKraków
dc.description.versionwersja wydawniczapl
dc.identifier.doihttps://doi.org/10.7494/csci.2015.16.2.145
dc.identifier.eissn2300-7036
dc.identifier.issn1508-2806
dc.identifier.nukatdd2015320052pl
dc.identifier.urihttps://repo.agh.edu.pl/handle/AGH/49455
dc.language.isoeng
dc.publisherWydawnictwa AGH
dc.relation.ispartofComputer Science
dc.rightsAttribution 4.0 International
dc.rights.accessotwarty dostęp
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/legalcode
dc.subjecthate speechen
dc.subjectnatural language processingen
dc.subjectpropagandaen
dc.subjectmachine learningen
dc.titleApplication of linguistic cues in the analysis of language of hate groupsen
dc.title.relatedComputer Science
dc.typeartykuł
dspace.entity.typePublication
publicationissue.issueNumberNo. 2
publicationissue.paginationpp. 145-156
publicationvolume.volumeNumberVol. 16
relation.isJournalIssueOfPublication7c168842-e29e-466a-b93e-5fbed56d4a6e
relation.isJournalIssueOfPublication.latestForDiscovery7c168842-e29e-466a-b93e-5fbed56d4a6e
relation.isJournalOfPublication020291ee-249b-4dcf-98a3-276a2f7981aa

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