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Title:Vpliv dejavnikov na zaznavanje globokih ponaredkov na družbenih medijih : diplomsko delo
Authors:ID Ličina, Kai (Author)
ID Kožuh, Ines (Mentor) More about this mentor... New window
ID Čakš, Peter (Comentor)
Files:.pdf UN_Licina_Kai_2024.pdf (2,96 MB)
MD5: 94CBE2432AE46DAC85F886B912C9E820
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Diplomsko delo raziskuje vpliv dejavnikov na pravilnost ločevanja globokih ponaredkov od pristnih video posnetkov na družbenih medijih. Delo obravnava ključne koncepte, povezane z družbenimi mediji in širjenjem lažnih informacij, pri čemer poseben poudarek namenja tehnologiji globokih ponaredkov, ki omogoča ustvarjanje realističnih lažnih vsebin. Empirični del raziskave vključuje analizo vpliva uporabe družbenih medijev, vrste videoposnetkov, izobrazbe in predhodnega znanja o manipulaciji medijskih vsebin. Rezultati kažejo, da večina teh dejavnikov nima statistično pomembnega vpliva na pravilnost ločevanja globokih ponaredkov od pristnih video posnetkov, z izjemo Facebooka, in samozavesti pri prepoznavanju globokih ponaredkov, kjer smo pri zabavnih videoposnetkih zaznali statistično značilen vpliv. Rezultati te študije lahko služijo kot osnova za nadaljnje raziskave o zaznavi ponarejenih posnetkov med uporabniki družbenih medijev.
Keywords:globoki ponaredki, družbeni mediji, zaznavanje
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[K. Ličina]
Year of publishing:2024
Number of pages:1 spletni vir (1 datoteka PDF ([VIII], 47 f.))
PID:20.500.12556/DKUM-90304 New window
UDC:070.16:077.5(043.2)
COBISS.SI-ID:219784963 New window
Publication date in DKUM:03.10.2024
Views:0
Downloads:25
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:28.08.2024

Secondary language

Language:English
Title:Analysis of factors on perception of deepfakes on social media
Abstract:This thesis explores the impact of various factors on the accuracy of distinguishing deepfakes from authentic videos on social media. It addresses key concepts related to social media and the spread of misinformation, with a special focus on deepfake technology, which enables the creation of realistic fake content. The empirical part of the research analyses the influence of social media usage, types of videos, education, and prior knowledge of media manipulation. The results indicate that most of these factors do not have a statistically significant impact on the accuracy of distinguishing deepfakes from authentic video content, with the exception of Facebook and confidence in recognizing deepfakes, where a statistically significant effect was observed in the case of entertaining videos. The findings of this study can serve as a basis for further research on the detection of fake videos among social media users.
Keywords:deepfakes, social media, perception


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