Lažne novice

diplomsko delo

Jean Ternik (Author), Borut Batagelj (Mentor)

Abstract

V dobi informacij se vse več srečujemo z lažnimi novicami, ki imajo velik vpliv tudi v političnem svetu. Volitve za predsednika ZDA leta 2016 so zaznamovale zgodbe o produkciji lažnih novic. Najbolj znana je zgodba iz makedonskega mesta Veles, kjer so najstniki služili tisoče evrov z lažnimi novicami na temo volitev. Naslednje leto je uporabnik "deepfakes" na spletni strani Reddit objavil pornografske posnetke, kjer je zamenjal obraze pornoigralk z obrazi hollywoodskih slavnih osebnosti. Posnetki so izzvali burne reakcije, ki so pripeljale do prepovedi ponarejenih posnetkov na podobnih spletnih straneh. V diplomski nalogi bomo prikazali postopek, kako ponarediti posnetek na enak način, kot je to storil uporabnik "deepfakes", po katerem se tovrstni posnetki danes tudi imenujejo. Na koncu pa bomo predstavili še nekaj algoritmov, ki lahko zaznajo ponarejene posnetke.

Keywords

lažne novice;Veles;volitve;ponarejanje slik;ponarejanje videov;detekcija ponarejenih videov;računalništvo;računalništvo in informatika;visokošolski strokovni študij;diplomske naloge;

Data

Language:	Slovenian
Year of publishing:	2020
Typology:	2.11 - Undergraduate Thesis
Organization:	UL FRI - Faculty of Computer and Information Science
Publisher:	[J. Ternik]
UDC:	004(043.2)
COBISS:	1538547395
Views:	1327
Downloads:	448
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	Fake news
Secondary abstract:	In information age we are coming across more and more fake news that also have huge impact in the world of politics. USA elections in 2016 were defined by stories of massive fake news production, especially the one about Macedonian city Veles, where teenagers earned thousands of Euros by producing fake news about elections. Next year a user known as "deepfakes" published pornographic videos on Reddit website where he replaced faces of pornstars with faces of Hollywood celebrities. A lot of similar websites took action and banned fake videos from their sites. In this assignment we will also present a guide on how to create a fake video like the ones created by user "deepfakes". In the end we will present some algorithms that can detect fake videos.
Secondary keywords:	fake news;Veles;elections;faking videos;deepfake;deepfacelab;fake video detection;computer science;computer and information science;diploma;
Type (COBISS):	Bachelor thesis/paper
Study programme:	1000470
Embargo end date (OpenAIRE):	1970-01-01
Thesis comment:	Univ. v Ljubljani, Fak. za računalništvo in informatiko
Pages:	53 str.
ID:	11418720