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Short Video Uprising: How #BlackLivesMatter Content on TikTok Challenges the Protest Paradigm

arXiv 2206.09946 ↗First posted 20 Jun 2022cs.CY cs.CVcited by 0

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Abstract (arXiv)

This study uses TikTok (N = 8,173) to examine how short-form video platforms challenge the protest paradigm in the recent Black Lives Matter movement. A computer-mediated visual analysis, computer vision, is employed to identify the presence of four visual frames of protest (riot, confrontation, spectacle, and debate) in multimedia content. Results of descriptive statistics and the t-test indicate that the three delegitimizing frames - riot, confrontation, and spectacle - are rarely found on TikTok, whereas the debate frame, that empowers marginalized communities, dominates the public sphere. However, although the three delegitimizing frames receive lower social media visibility, as measured by views, likes, shares, followers, and durations, legitimizing elements, such as the debate frame, minority identities, and unofficial sources, are not generally favored by TikTok audiences. This study concludes that while short-form video platforms could potentially challenge the protest paradigm on the content creators' side, the audiences' preference as measured by social media visibility might still be moderately associated with the protest paradigm.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 4 of its 68 references that are in the map. First posted on arXiv 20 Jun 2022.

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4 of 68 references.

References · 4

  1. 2015Robust Image Sentiment Analysis Using Progressively Trained and Domain Transferred Deep Networkscited by 46
  2. 2017Protest Activity Detection and Perceived Violence Estimation from Social Media Imagescited by 20
  3. 2020Dancing to the Partisan Beat: A First Analysis of Political Communication on TikTokcited by 4
  4. 2016Photographic home styles in Congress: a computer vision approachcited by 2

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