"It took me almost 30 minutes to practice this". Performance and Production Practices in Dance Challenge Videos on TikTok
August 29, 2020 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Daniel Klug
arXiv ID
2008.13040
Category
cs.HC: Human-Computer Interaction
Citations
29
Venue
arXiv.org
Last Checked
4 months ago
Abstract
TikTok is a music-based video sharing social media app famous for users creating short meme and dance videos. TikTok videos are largely based on popular song snippets, which is why lip syncing and dance moves evolve as significant user performance practices in videos. User prosumption has not yet been studied regarding the characteristics of TikTok. This paper is based on social practice and performance theory, social media studies, and participatory online video culture. It uses the #distantdance challenge on TikTok to analyze production practices and strategies of users through qualitative video product analysis. 92 videos were coded and categorized regarding their visual content (who participated in which way) and paratextual elements (used tags and captions). The visual and (para-)textual elements were then analyzed regarding indicators that allow to draw conclusions on users' video creation strategies and performance practices in participating in the #distantdance challenge. The results show videos are mainly performed by single white female teenagers wearing casual outfits in their bedrooms. Users shared their experiences about learning and performing the dance in video captions. While users prepared settings and outfits for their performance, the majority of performances seems rather unplanned or spontaneous. This indicates most videos might be part of a series of user attempts to master the dance challenge resulting in posting the first successful video performance to TikTok. In addition to the dance moves, participants also added gestures as closing elements to their performances. This indicates their knowledge of using signals as part of an online community while at the same time manifesting their belongingness to the community. These first results of a qualitative product analysis illustrate some of users' motivations and effort to participate in TikTok dance challenges.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Human-Computer Interaction
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Improving fairness in machine learning systems: What do industry practitioners need?
R.I.P.
π»
Ghosted
Identifying Stable Patterns over Time for Emotion Recognition from EEG
R.I.P.
π»
Ghosted
Questioning the AI: Informing Design Practices for Explainable AI User Experiences
R.I.P.
π»
Ghosted
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities
R.I.P.
π»
Ghosted
Educational data mining and learning analytics: An updated survey
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted