Sökning: "lura"
Visar resultat 6 - 10 av 57 uppsatser innehållade ordet lura.
6. Det står att jag har ett paket att hämta ut, men jag har ju inte beställt någonting? - En kvalitativ intervjustudie om hur internetanvändare upptäcker och hanterar bedrägeriförsök på internet
Kandidat-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskapSammanfattning : Dagens samhälle har blivit alltmer digitaliserat och en följd av detta är att de digitala bedrägerierna har ökat. Digitala bedrägerier kan ta olika former, men i denna studie begränsades de till phishing och dess underkategorier: spear phishing, vishing och smishing. LÄS MER
7. Dark Patterns in the Travel Industry : A study on users’ perception of dark patterns on airline companies’ websites
Kandidat-uppsats, Uppsala universitet/InformationssystemSammanfattning : This thesis investigates how airline companies use dark patterns on their websites and how users perceive them. Dark patterns are deceiving design strategies that take advantage of users by integrating misleading user interface features to trick users into doing things they did not mean to. LÄS MER
8. Would you trust me if I lied to you in favor of charity? : The implication of Brand Trust when using Dark Patterns for charity
Kandidat-uppsats, Umeå universitet/Institutionen för psykologiSammanfattning : Brand Trust is the trust consumers have in brands and have been previously proven to be affected negatively by dark patterns (i.e. design patterns used in websites to deceive their customers). This study is aimed to find out if Brand Trust is affected negatively by dark patterns when used for charity. LÄS MER
9. Fooling Around : An Ethnological Study of Bigfoot Hoaxes
Magister-uppsats, Umeå universitet/Institutionen för kultur- och medievetenskaperSammanfattning : This essay aims to get a deeper knowledge of “Bigfoot hoaxes” – how these hoaxes are carried out, by what type of persons, the reasoning behind the hoaxes and the consequences of them. The study investigates Bigfoot hoaxes as described in newspaper articles and in social media contexts, to see if there are any patterns to the hoaxers, the hoaxing activities and how the public reacts to them. LÄS MER
10. Improving the Robustness of Deep Neural Networks against Adversarial Examples via Adversarial Training with Maximal Coding Rate Reduction
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Deep learning is one of the hottest scientific topics at the moment. Deep convolutional networks can solve various complex tasks in the field of image processing. However, adversarial attacks have been shown to have the ability of fooling deep learning models. LÄS MER