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master's thesis
Mit TikTok algoritma u kulturnoantropološkoj perspektivi
2024. urn:nbn:hr:162:398576
Todorić, Marijo
University of Zadar
Department of Ethnology and Anthropology

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Todorić, M. (2024). Mit TikTok algoritma u kulturnoantropološkoj perspektivi (Master's thesis). Zadar: University of Zadar. Retrieved from https://urn.nsk.hr/urn:nbn:hr:162:398576

Todorić, Marijo. "Mit TikTok algoritma u kulturnoantropološkoj perspektivi." Master's thesis, University of Zadar, 2024. https://urn.nsk.hr/urn:nbn:hr:162:398576

Todorić, Marijo. "Mit TikTok algoritma u kulturnoantropološkoj perspektivi." Master's thesis, University of Zadar, 2024. https://urn.nsk.hr/urn:nbn:hr:162:398576

Todorić, M. (2024). 'Mit TikTok algoritma u kulturnoantropološkoj perspektivi', Master's thesis, University of Zadar, accessed 30 November 2024, https://urn.nsk.hr/urn:nbn:hr:162:398576

Todorić M. Mit TikTok algoritma u kulturnoantropološkoj perspektivi [Master's thesis]. Zadar: University of Zadar; 2024 [cited 2024 November 30] Available at: https://urn.nsk.hr/urn:nbn:hr:162:398576

M. Todorić, "Mit TikTok algoritma u kulturnoantropološkoj perspektivi", Master's thesis, University of Zadar, Zadar, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:162:398576

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Metadata
TitleMit TikTok algoritma u kulturnoantropološkoj perspektivi
Title (english)Myth of the TikTok algorithm in the perspective of cultural anthropology
AuthorMarijo Todorić
MentorDanijela Birt Katić (mentor)
Committee memberSenka Božić-Vrbančić (predsjednik povjerenstva)
Committee memberMario Katić (član povjerenstva)
Committee memberDanijela Birt Katić (član povjerenstva)
GranterUniversity of Zadar
(Department of Ethnology and Anthropology)
Zadar
Defense date and country2024-10-31, Croatia
Scientific / art field,
discipline and subdiscipline		HUMANISTIC SCIENCES
Ethnology and Anthropology
Ethnology
Abstract
Ovaj diplomski rad istražuje algoritam TikTok-a kao digitalni mit, primjenjujući strukturalističku teoriju mitova Claudea Lévi-Straussa na narativ i diskurs koji okružuje algoritam platforme. Istraživanje se fokusira na dimenzije TikTok-a kao kulturnog konteksta u kojem se mit pojavljuje, zatim problematizira binarne opozicija prisutnih u algoritamskom mitu prema Lévi-Straussovoj. Rad se oslanja na metodu digitalne etnografije i kvalitativnu analizu interakcija korisnika na TikToku, uključujući komentare i video-sadržaj, kako bi odgovorio na pitanja poput toga kako korisnici opisuju algoritam u svakodnevnim interakcijama i kako pokušavaju njime manipulirati, te kakve strategije koriste da bi upravljali algoritmom i zašto?, Kroz ovu antropološku analizu, rad nastoji objasniti zašto se narativ o TikTok algoritmu može promatrati kao oblik digitalnog mita.
Abstract (english)
This thesis explores the TikTok algorithm as a digital myth, applying Claude Lévi-Strauss's structuralist theory of myths to the narrative and discourse surrounding the platform's algorithm. The research focuses on the dimensions of TikTok as a cultural context in which the myth appears, then problematizes the binary oppositions present in the algorithmic myth according to Lévi-Strauss. The paper draws on the method of digital ethnography and qualitative analysis of users interactions on TikTok, including comments and video content, to answer questions such as how users describe the algorithm in everyday interactions and how they try to manipulate it, and what strategies they use to manage the algorithm. and why? Through this anthropological analysis, the paper tries to explain why the narrative of the TikTok algorithm can be seen as a form of digital myth.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:162:398576
Study programmeTitle: Ethnology and Anthropology (double major)
Study programme type: university
Study level: graduate
Academic / professional title: sveučilišni/a magistar/magistra etnologije i antropologije (sveučilišni/a magistar/magistra etnologije i antropologije)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2024-11-15 10:45:50