Analiza utjecaja društvenih mreža na javno mišljenje: istraživanje algoritamske polarizacije i širenja dezinformacija

graduate thesis

• Title (english): Analysis of the influence of social networks on public opinion: a research of algorithmic polarization and the spread of disinformation
• Author: Tea Šestak
• Mentor: Ljubica Milanović Glavan (mentor)
• Committee member: Božidar Jaković (predsjednik povjerenstva)
• Committee member: Dalia Suša Vugec (član povjerenstva)
• Granter: University of Zagreb; Faculty of Economics and Business; (Department of Informatics); Zagreb
• Defense date and country: 2024-09-24, Croatia
• Scientific / art field, discipline and subdiscipline: SOCIAL SCIENCES; Economics; Business Informatics

Abstract

Cilj ovog rada je prikazati kako i na koji način društvene mreže utječu na javno mišljenje te općenito o širenju dezinformacija putem istih. Istražene su i prikazane dezinformacije koje se šire društvenim mrežama. Navedeni su razni načini kojima bi se mogao smanjiti sav taj negativni utjecaj. Kroz razne analize prikazuje se koliki je utjecaj društvenih mreža na njihove korisnike. Razvojem Interneta a poglavito društvenih mreža nastao je i pojam algoritamske polarizacije. Najranjivije skupine su svakako mlađe i one starije populacije jer mladi su još neiskusni i ne znaju kakve sve opasnosti postoje i nemaju dovoljno iskustva, dok kod starijih populacija je problem taj što nisu informatički i digitalno pismeni. Svaka osoba zasebno za sebe mora biti pažljiva kako se koristi Internetom i podacima na njemu. Metode istraživanja za pisanje rada su prikupljanje i analiza podataka prikupljenih preko znanstvene i stručne literature.

Abstract (english)

The aim of this paper is to show how and in what way social networks influence on public opinion and, in general, the spread of misinformation through them. The misinformation that spreads through social networks has been investigated and presented. There are various ways in which all this negative impact could be reduced. Various analyzes shows the influence of social networks on their users. The development of the Internet and especially social networks led to the concept of algorithmic polarization. The most vulnerable groups are mostly younger and older populations because young people are still inexperienced and do not know what dangers there are and do not have enough experience, while the problem with older populations is that they are not computer and digitally literate. Each person individually must be careful how they use the Internet and the data on it. The research methods for writing the paper are the collection and analysis of data collected through scientific and professional literature.

• Keywords: dezinformacije; mišljenje; algoritam; polarizacija; društvene mreže
• Keywords (english): misinformation; opinion; algorithm; polarization; social networks
• Language: croatian
• URN:NBN: urn:nbn:hr:148:847465
• Study programme: Title: /; Study programme type: professional; Study level: graduate; Academic / professional title: magistar ekonomije/magistra ekonomije (magistar ekonomije/magistra ekonomije)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Access restricted to students and staff of home institution
• Created on: 2024-09-24 15:41:58