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Manipulative Propaganda Techniques: Technical Report

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F17%3A00098578" target="_blank" >RIV/00216224:14330/17:00098578 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Manipulative Propaganda Techniques: Technical Report

  • Original language description

    Influencing the public attitude towards certain topics had become one of the strongest weapons in today’s information warfare. The ability to recognize a presence of propaganda in newspaper texts is thus a treasured phenomenon, which is not directly transferable to algorithmic analysis. In the current paper, we present the first steps of the project aiming at detection and recognition of selected propaganda elements in common texts. We introduce a developed tool used for annotating designated manipulative elements in newspaper texts and providing an overview of complex text characteristics of the underlying corpus data. The presented Propaganda corpus consists of more that 5,000 newspaper articles by 4 publishing websites.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the Eleventh Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2017

  • ISBN

    9788026313403

  • ISSN

    2336-4289

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    111-118

  • Publisher name

    Tribun EU

  • Place of publication

    Brno

  • Event location

    Karlova Studánka

  • Event date

    Jan 1, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000426613500013