publication . Thesis . 2019

Hyperpartisanship in Web Searched Articles

Sen, Anamika Ashit;
Open Access
  • Published: 21 Aug 2019
  • Publisher: Virginia Tech
  • Country: United States
Abstract
News consumption is primarily done through online news media outlets and social media. There has been a recent rise in both fake news generation, and consumption. Fake news refers to articles that deliberately contain false information to influence readers. Substantial dissemination of misinformation has been recognized to influence election results. This work focuses on hyperpartisanship in web-searched articles which refers to web searched articles which have polarized views and which represent a sensationalized view of the content. There are many such news websites which cater to propagating biased news for political and/or financial gain. This work uses Natu...
Subjects
free text keywords: Hyperpartisanship, news, fake news, natural language processing, propaganda, misinformation
Communities
Digital Humanities and Cultural Heritage
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Thesis . 2019
Provider: VTechWorks
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