prikaz prve stranice dokumenta Analiza Facebook algoritma
  Download
PDF 2.05 MB
undergraduate thesis
Analiza Facebook algoritma
2024. urn:nbn:hr:200:287953
Krpan, Tvrtko
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Computer Engineering and Automation

Cite this document

Krpan, T. (2024). Analiza Facebook algoritma (Undergraduate thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:287953

Krpan, Tvrtko. "Analiza Facebook algoritma." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2024. https://urn.nsk.hr/urn:nbn:hr:200:287953

Krpan, Tvrtko. "Analiza Facebook algoritma." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2024. https://urn.nsk.hr/urn:nbn:hr:200:287953

Krpan, T. (2024). 'Analiza Facebook algoritma', Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 24 July 2024, https://urn.nsk.hr/urn:nbn:hr:200:287953

Krpan T. Analiza Facebook algoritma [Undergraduate thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2024 [cited 2024 July 24] Available at: https://urn.nsk.hr/urn:nbn:hr:200:287953

T. Krpan, "Analiza Facebook algoritma", Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:200:287953

Please login to the repository to save this object to your list.
Metadata
TitleAnaliza Facebook algoritma
Title (english)Analysis of the Facebook algorithm
AuthorTvrtko Krpan
MentorIvica Lukić (mentor)
MentorMiljenko Švarcmajer (sumentor)
Committee memberIvica Lukić (član povjerenstva)
Committee memberGoran Knežević (član povjerenstva)
Committee memberJosip Balen (predsjednik povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Computer Engineering and Automation)
Osijek
Defense date and country2024-07-15, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Information Systems
Abstract
Društvene mreže omogućuju ljudima da se međusobno povezuju bez obzira na udaljenost. Najpopularnija društvena mreža je Facebook, a ključ njenog uspjeha leži u naprednom algoritmu koji je zaslužan za prikazivanje sadržaja i očuvanje pozitivnog korisničkog iskustva. Broj korisnika najpopularnijih društvenih mreža raste i očekuje se da se trend zadrži. Rad je organiziran kroz pregled algoritama za prikazivanje sadržaja na različitim platformama, analizu povijesti i evolucije Facebook algoritma, provedbu ankete među korisnicima te evaluaciju prikupljenih podataka. Rezultati pokazuju da većina ispitanika koristi Facebook više puta dnevno, ali značajan broj korisnika nije zadovoljan prikazanim sadržajem, posebno sponzoriranim objavama. Također, velik broj korisnika osjeća nelagodu zbog percepcije „prisluškivanja“, što negativno utječe na povjerenje u platformu. Algoritam se ističe sposobnošću prilagodbe i evolucije, ali korisničko zadovoljstvo nije uvijek na visokoj razini, ukazujući na potrebu za daljnjim poboljšanjima, posebno u personalizaciji oglasa i sadržaja kako bi se povećalo zadovoljstvo korisnika. Zaključno, iako Facebookov algoritam koristi napredne tehnike za personalizaciju sadržaja, postoje značajni izazovi u osiguravanju visokog korisničkog zadovoljstva i očuvanju povjerenja korisnika. Buduće istraživanje bi se moglo usmjeriti na dublje razumijevanje dugoročnih efekata na razvitak mladih osoba.
Abstract (english)
Social networks allow people to connect with each other regardless of distance. The most popular social network is Facebook, and the key to its success lies in an advanced algorithm responsible for displaying content and maintaining a positive user experience. The number of users of the most popular social networks is growing and the trend is expected to continue. The work is organized through an overview of algorithms for displaying content on different platforms, an analysis of the history and evolution of the Facebook algorithm, the implementation of a survey among users and the evaluation of the collected data. The results show that the majority of respondents use Facebook several times a day, but a significant number of users are not satisfied with the displayed content, especially sponsored posts. Also, a large number of users feel uncomfortable due to the perception of „eavesdropping“, which negatively affects trust in the platform. The algorithm stands out for its ability to adapt and evolve, but user satisfaction is not always at a high level, indicating the need for further improvements, especially in the personalization of ads and content to increase user satisfaction. In conclusion, although Facebook's algorithm uses advanced techniques to personalize content, there are significant challenges in ensuring high user satisfaction and maintaining user trust. Future research could focus on a deeper understanding of the long-term effects on the development of young people.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:287953
Study programmeTitle: Undergraduate University Study Programme in Computer Engineering
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2024-07-24 08:50:52