The thesis examines the subcultural activities and online fan community of Drainers (fans of the music collective Drain Gang) through TikTok. A netnographic analysis of fans’ engagement and community cultivation through prosumption is done through participation observation. Samples taken using a non-probability purposive sampling method are analyzed, categorized, and coded. By using theories of prosumption, uses and gratifications and a contemporary online take on subcultural theory from Bennet (2004) as well as Genova et al. (2022), the samples provide an insight into Drainers and their subculture. Results from the study suggest that community within TikTok is easy to find, yet difficult to regulate. It can thus be both a space for creative participation and opportunity for exploring identity as much as it can be for receiving negative comments and further stigmatization. Regardless of the app’s implications and limitations, it does successfully provide a platform for fans to connect, bond, share ideas and create authentic identity and a subcultural status. While plenty of previous research concerning fans and their communities exist, this study is through researcher’s immersion opening up a discussion about Drain Gang’s subculture and fans, which is essentially an untouched area of research. Although limitations are present such as lack of possibility to pick samples on TikTok based on publication date, as well as bias while collecting samples, it provides an insight into the online community and subculture which can be used to further explore the topic.
Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:mau-63991 |
Date | January 2023 |
Creators | Schmidt, Rasmus |
Publisher | Malmö universitet, Institutionen för konst, kultur och kommunikation (K3) |
Source Sets | DiVA Archive at Upsalla University |
Language | English |
Detected Language | English |
Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
Format | application/pdf |
Rights | info:eu-repo/semantics/openAccess |
Page generated in 0.0026 seconds