Razumijevanje procesa detekcije medijskog sadržaja stvorenog umjetnom inteligencijom

master's thesis

• Title (english): Understanding the process of detection of media content created by artificial intelligence
• Author: Mislav Dražić
• Mentor: Kosta Bovan (mentor)
• Committee member: Kosta Bovan (predsjednik povjerenstva)
• Committee member: Iva Nenadić (član povjerenstva)
• Committee member: Milica Vučković (član povjerenstva)
• Granter: University of Zagreb; The Faculty of Political Science; Zagreb
• Defense date and country: 2024-09-19, Croatia
• Scientific / art field, discipline and subdiscipline: SOCIAL SCIENCES; Information and Communication Sciences

Abstract

U istraživanju razumijevanje procesa detekcije medijskog sadržaja stvorenog umjetnom inteligencijom nastojali smo uočiti faktore i metode pomoću kojih ispitanici nastoje prepoznati medijski sadržaj stvoren s pomoću umjetne inteligencije. Kroz metodu intervju istraživali smo stavove ispitanika o primjeni umjetne inteligencije u novinarstvu, a s pomoću metode razmišljanja naglas posebno smo proučavali način na koji ispitanici razlikuju tekstove pisane od strane umjetne inteligencije i čovjeka. Uslijed sve bržeg razvoja umjetne inteligencije i njenoj sve većoj primjeni u području novinarstva od iznimne je važnosti uspješno prepoznati sadržaja koji je kreiran pomoću iste.

Abstract (english)

In the research to understand the process of detection of media content created by artificial intelligence, we tried to identify the factors and methods by which respondents try to recognize media content created by artificial intelligence. Through the interview method, we investigated the views of respondents on the application of artificial intelligence in journalism, and using the think-aloud method, we specifically studied the way in which the respondents distinguish between texts written by artificial intelligence and humans. Due to the increasingly rapid development of artificial intelligence and its increasing application in the field of journalism, it is extremely important to successfully recognize content created using it.

• Keywords: medijski sadržaj; umjetna inteligencija; detekcija; metoda razmišljanja naglas
• Keywords (english): media content; artificial intelligence; detection; the think-aloud method
• Language: croatian
• URN:NBN: urn:nbn:hr:114:983899
• Study programme: Title: Journalism; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra novinarstva (magistar/magistra novinarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2024-10-14 07:39:05