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Title:Which explanation is better for helping the end user distinguish fake news from real news? : final project paper
Authors:ID Kerleshi, Lirak (Author)
ID Tkalčič, Marko (Mentor) More about this mentor... This link opens in a new window
Files:.pdf DIP_Kerleshi_Lirak_2025.pdf (1,25 MB)
MD5: 15BD7D9B7AD751DDE72C249D4497A966
 
Language:English
Work type:Final paper
Typology:2.11 - Undergraduate Thesis
Organization:FAMNIT - Faculty of Mathematics, Science and Information Technologies
Keywords:fake news detection, artificial intelligence, explainable AI, SHAP, LIME, user study
Place of publishing:Koper
Place of performance:Koper
Publisher:L. Kerleshi
Year of publishing:2025
Year of performance:2025
Number of pages:1 spletni vir (1 datoteka PDF (X, 34 str., [4] str. pril.))
PID:20.500.12556/RUP-21378 This link opens in a new window
UDC:004.8
COBISS.SI-ID:240317187 This link opens in a new window
Note:Sistemske zahteve: Adobe Acrobat Reader
Publication date in RUP:23.06.2025
Views:869
Downloads:9
Metadata:XML DC-XML DC-RDF
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Secondary language

Language:Slovenian
Title:Kateri način pojasnila bolje pomaga uporabniku ločiti lažne novice od pravih? : zaključna naloga
Keywords:zaznavanje lažnih novic, umetna inteligenca, razložljiva umetna inteligenca, SHAP, LIME, uporabniška študija


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