TikTok’s Algorithm and It’s Effect on Nostalgia Music Trends
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Kulcsszavak: | Algorithm music Nostalgia Tiktok trendek zene |
| Online Access: | http://dolgozattar.uni-bge.hu/59204 |
MARC
| LEADER | 00000nta a2200000 i 4500 | ||
|---|---|---|---|
| 001 | dolg59204 | ||
| 005 | 20251027143136.0 | ||
| 008 | 251027suuuu hu om 000 eng d | ||
| 040 | |a BGE Dolgozattár Repozitórium |b hun | ||
| 041 | |a en | ||
| 100 | 1 | |a Huseynova Aziza | |
| 245 | 1 | 0 | |a TikTok’s Algorithm and It’s Effect on Nostalgia Music Trends |c Huseynova Aziza |h [elektronikus dokumentum] |
| 520 | 3 | |a This Thesis paper examines how TikTok's recommendation algorithm affects the revival of nostalgic music, focusing on Kate Bush's "Running Up That Hill" and Fleetwood Mac's "Dreams." By using a design with mixed-methods online survey of 120 TikTok users and thematic analysis of 100 hashtag videos, the paper discloses that algorithmic curation and participating remix culture co-produce emotional, viral nostalgia. Survey data shows that 74% of users searched traces of streaming platforms for exposure, while content analysis highlights themes of emotional resonance, trend participation and cross-generation connection. Temporal mapping links TikTok peaks to dramatic Spotify and chart resurgences, and confirms the power of the platform as both the trend motor and a digital archive. The study offers strategic recommendations for industry, platforms, creators and researchers, and requires greater algorithmic transparency and interdisciplinary study on digital cultural heritage. | |
| 695 | |a Algorithm | ||
| 695 | |a music | ||
| 695 | |a Nostalgia | ||
| 695 | |a Tiktok | ||
| 695 | |a trendek | ||
| 695 | |a zene | ||
| 700 | 1 | |a Alizade Gulmirze |e ths | |
| 700 | 1 | |a Furcsa Dr. Laura |e ths | |
| 856 | 4 | 0 | |u http://dolgozattar.uni-bge.hu/59204/1/Thesis%20.pdf |z Dokumentum-elérés |
| 856 | 4 | 0 | |u http://dolgozattar.uni-bge.hu/59204/2/Review%20Report-External%20Supervisor.pdf |z Dokumentum-elérés |
| 856 | 4 | 0 | |u http://dolgozattar.uni-bge.hu/59204/3/Huseynova%20Aziza%20internal-assessors-undergraduate-programmes%202025.pdf |z Dokumentum-elérés |