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Volumn 10618 LNCS, Issue , 2017, Pages 127-138

Detection of Online Fake News Using N-Gram Analysis and Machine Learning Techniques

Author keywords

Fake news detection; N gram analysis; Online fake news; Online social network security; Text classification

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); E-LEARNING; EXTRACTION; LEARNING ALGORITHMS; NETWORK SECURITY; ONLINE SYSTEMS; SOCIAL NETWORKING (ONLINE); SUPPORT VECTOR MACHINES; TEXT PROCESSING;

EID: 85032711154     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-69155-8_9     Document Type: Conference Paper
Times cited : (501)

References (15)
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    • The Verge: Your short attention span could help fake news spread (2017). https://www. theverge.com/2017/6/26/15875488/fake-news-viral-hoaxes-bots-information-overload-twitter-facebook-social-media. Accessed 16 Aug 2017
    • (2017)
  • 2
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    • Solving the Problem of Fake News
    • Lemann, N.: Solving the Problem of Fake News. The New Yorker (2017). http://www. newyorker.com/news/news-desk/solving-the-problem-of-fake-news
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    • Lemann, N.1
  • 3
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    • Skills and Strategies—Fake News vs. Real News: Determining the Reliability of Sources
    • Accessed 16 Aug 2017
    • Schulten, K.: Skills and Strategies—Fake News vs. Real News: Determining the Reliability of Sources. The Learning Network (2017). https://learning.blogs.nytimes.com/2015/10/02/skills-and-strategies-fake-news-vs-real-news-determining-the-reliability-of-sources/. Accessed 16 Aug 2017
    • (2017) The Learning Network
    • Schulten, K.1
  • 4
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    • Pay to sway: Report reveals how easy it is to manipulate elections with fake news
    • Levin, S.: Pay to sway: report reveals how easy it is to manipulate elections with fake news. The Guardian (2017). https://www.theguardian.com/media/2017/jun/13/fake-news-manipul ate-elections-paid-propaganda
    • (2017) The Guardian
    • Levin, S.1
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    • The 4 Types of ‘Fake News’
    • Schow, A.: The 4 Types of ‘Fake News’. Observer (2017). http://observer.com/2017/01/fake-news-russia-hacking-clinton-loss
    • (2017) Observer
    • Schow, A.1
  • 8
    • 85041670198 scopus 로고    scopus 로고
    • This just in: Fake news packs a lot in title, uses simpler, repetitive content in text body, more similar to satire than real news
    • Horne, B.D., Adali, S.: This just in: fake news packs a lot in title, uses simpler, repetitive content in text body, more similar to satire than real news. In: The 2nd International Workshop on News and Public Opinion at ICWSM (2017)
    • (2017) The 2Nd International Workshop on News and Public Opinion at ICWSM
    • Horne, B.D.1    Adali, S.2
  • 11
    • 85019777832 scopus 로고    scopus 로고
    • Fake news or truth? Using satirical cues to detect potentially misleading news
    • Rubin., Victoria, L., et al.: Fake news or truth? Using satirical cues to detect potentially misleading news. In: Proceedings of NAACL-HLT (2016)
    • (2016) Proceedings of NAACL-HLT
    • Victoria, L.1
  • 12
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    • News use across social media platforms
    • Gottfried, J., Shearer, E.: News use across social media platforms. Pew Res. Cent. 26 (2016)
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  • 13
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    • The 2016 presidential campaign–a news event that’s hard to miss
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  • 14
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    • Most americans who see fake news believe it, new survey says
    • Silverman, C., Singer-Vine, J.: Most americans who see fake news believe it, new survey says. BuzzFeed News (2016)
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  • 15
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    • Facebook has repeatedly trended fake news since firing its human editors
    • Dewey, C.: Facebook has repeatedly trended fake news since firing its human editors. Washington Post (2016)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.