publication . Preprint . Conference object . 2019

Neural Based Statement Classification for Biased Language

Christoph Hube; Besnik Fetahu;
Open Access English
  • Published: 30 Jan 2019
Abstract
Biased language commonly occurs around topics which are of controversial nature, thus, stirring disagreement between the different involved parties of a discussion. This is due to the fact that for language and its use, specifically, the understanding and use of phrases, the stances are cohesive within the particular groups. However, such cohesiveness does not hold across groups. In collaborative environments or environments where impartial language is desired (e.g. Wikipedia, news media), statements and the language therein should represent equally the involved parties and be neutrally phrased. Biased language is introduced through the presence of inflammatory ...
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Subjects
free text keywords: Computer Science - Computation and Language, Natural language processing, computer.software_genre, computer, News media, Recurrent neural network, Group cohesiveness, Computer science, Artificial intelligence, business.industry, business, Competitor analysis, Phrase
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EC| AFEL
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AFEL
AFEL - Analytics For Everyday Learning
  • Funder: European Commission (EC)
  • Project Code: 687916
  • Funding stream: H2020 | RIA
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EC| ALEXANDRIA
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ALEXANDRIA
Foundations for Temporal Retrieval, Exploration and Analytics in Web Archives
  • Funder: European Commission (EC)
  • Project Code: 339233
  • Funding stream: FP7 | SP2 | ERC
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EC| DESIR
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DESIR
DARIAH ERIC Sustainability Refined
  • Funder: European Commission (EC)
  • Project Code: 731081
  • Funding stream: H2020 | CSA
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DARIAH EUDARIAH EU Projects: DESIR
Digital Humanities and Cultural HeritageDH-CH Projects: DESIR
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