Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386310906> ?p ?o ?g. }
Showing items 1 to 79 of
79
with 100 items per page.
- W4386310906 endingPage "837" @default.
- W4386310906 startingPage "829" @default.
- W4386310906 abstract "We all know that news-related misinformation is a major problem in our society, so many attempts have been made to identify and classify misinformation. Especially in social networks, blogs, and online newspapers. In this age of Internet ubiquity, people now are tending to rely more on online resources for getting general information and daily news content. Thus, with the increasing use and popularity of Social Media Platforms (SMP) like Instagram, YouTube, Twitter, Facebook, and Internet browsers, news spreads rapidly to different kinds of users in a short span of time over an extremely large area. The dissemination and bifurcation of fake news has far-reaching consequences, as it leads to the creation of biased or partial opinion, for example during election such practices are used to influence election results in favor of a particular candidate. Additionally, spammers use compelling news headlines to get ads that exploit clickbait revenue. Sometimes we are forced to check the data to make sure it is correct. Pretend news has only one purpose and is written to trick readers into believing false/hoax information, making supporting news content difficult to find and non-obvious. Therefore, supplemental or follow up information consistent with the social media use of social engagement should be included to aid in the correct identification of the news. This article aims to use ideas from artificial intelligence, tongue processes and machine learning on various online available articles and perform a binary classification on them accordingly. This tends to categorize the news as real one or a fake one and gives users the option to jointly verify the authenticity and genuinity of provided news." @default.
- W4386310906 created "2023-09-01" @default.
- W4386310906 creator A5068974011 @default.
- W4386310906 creator A5072046025 @default.
- W4386310906 creator A5092385393 @default.
- W4386310906 creator A5092722639 @default.
- W4386310906 date "2023-01-01" @default.
- W4386310906 modified "2023-09-27" @default.
- W4386310906 title "Fake News Detection" @default.
- W4386310906 cites W2410465342 @default.
- W4386310906 cites W2742330194 @default.
- W4386310906 cites W2743800013 @default.
- W4386310906 cites W2891163418 @default.
- W4386310906 cites W2936136538 @default.
- W4386310906 cites W3011924453 @default.
- W4386310906 cites W3171536469 @default.
- W4386310906 cites W4200425753 @default.
- W4386310906 cites W4200460610 @default.
- W4386310906 cites W4220916015 @default.
- W4386310906 cites W4281673407 @default.
- W4386310906 cites W4312235431 @default.
- W4386310906 cites W4312709697 @default.
- W4386310906 doi "https://doi.org/10.1007/978-981-99-3485-0_65" @default.
- W4386310906 hasPublicationYear "2023" @default.
- W4386310906 type Work @default.
- W4386310906 citedByCount "0" @default.
- W4386310906 crossrefType "book-chapter" @default.
- W4386310906 hasAuthorship W4386310906A5068974011 @default.
- W4386310906 hasAuthorship W4386310906A5072046025 @default.
- W4386310906 hasAuthorship W4386310906A5092385393 @default.
- W4386310906 hasAuthorship W4386310906A5092722639 @default.
- W4386310906 hasConcept C108827166 @default.
- W4386310906 hasConcept C110875604 @default.
- W4386310906 hasConcept C112698675 @default.
- W4386310906 hasConcept C136764020 @default.
- W4386310906 hasConcept C144133560 @default.
- W4386310906 hasConcept C165696696 @default.
- W4386310906 hasConcept C17744445 @default.
- W4386310906 hasConcept C199539241 @default.
- W4386310906 hasConcept C201280247 @default.
- W4386310906 hasConcept C2776552730 @default.
- W4386310906 hasConcept C2776990098 @default.
- W4386310906 hasConcept C2780586970 @default.
- W4386310906 hasConcept C38652104 @default.
- W4386310906 hasConcept C41008148 @default.
- W4386310906 hasConcept C518677369 @default.
- W4386310906 hasConceptScore W4386310906C108827166 @default.
- W4386310906 hasConceptScore W4386310906C110875604 @default.
- W4386310906 hasConceptScore W4386310906C112698675 @default.
- W4386310906 hasConceptScore W4386310906C136764020 @default.
- W4386310906 hasConceptScore W4386310906C144133560 @default.
- W4386310906 hasConceptScore W4386310906C165696696 @default.
- W4386310906 hasConceptScore W4386310906C17744445 @default.
- W4386310906 hasConceptScore W4386310906C199539241 @default.
- W4386310906 hasConceptScore W4386310906C201280247 @default.
- W4386310906 hasConceptScore W4386310906C2776552730 @default.
- W4386310906 hasConceptScore W4386310906C2776990098 @default.
- W4386310906 hasConceptScore W4386310906C2780586970 @default.
- W4386310906 hasConceptScore W4386310906C38652104 @default.
- W4386310906 hasConceptScore W4386310906C41008148 @default.
- W4386310906 hasConceptScore W4386310906C518677369 @default.
- W4386310906 hasLocation W43863109061 @default.
- W4386310906 hasOpenAccess W4386310906 @default.
- W4386310906 hasPrimaryLocation W43863109061 @default.
- W4386310906 hasRelatedWork W2748952813 @default.
- W4386310906 hasRelatedWork W2981016926 @default.
- W4386310906 hasRelatedWork W3105005697 @default.
- W4386310906 hasRelatedWork W4213272513 @default.
- W4386310906 hasRelatedWork W4221111914 @default.
- W4386310906 hasRelatedWork W4223520621 @default.
- W4386310906 hasRelatedWork W4223613244 @default.
- W4386310906 hasRelatedWork W4229377724 @default.
- W4386310906 hasRelatedWork W4291638179 @default.
- W4386310906 hasRelatedWork W4385980000 @default.
- W4386310906 isParatext "false" @default.
- W4386310906 isRetracted "false" @default.
- W4386310906 workType "book-chapter" @default.