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Mingyue Zha

@mingyuezha.bsky.social
8 followers 7 following 3 posts

ct • dartmouth ‘27

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Mingyue Zha @mingyuezha.bsky.social · 22/01/2026
Key findings: 🎭 Facial expressions predict engagement better than text/speech sentiment 📚 Informational content outperforms emotional support content! 🕺 Effects of cross-modal interactions are threshold-dependent (e.g. humor in text and meme visuals boost engagement when both are salient in a post.)
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Mingyue Zha @mingyuezha.bsky.social · 22/01/2026
We applied the methodology on 160K+ mental-health-related TikToks to understand how text, visuals, and audio shape engagement.
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Mingyue Zha @mingyuezha.bsky.social · 22/01/2026
New preprint out! Social media is trending towards short-form video and multimodal content, but most empirical work still analyzes text, visuals, and audio separately. In this paper, we introduce a scalable + interpretable pipeline to analyze them jointly. Paper: arxiv.org/abs/2601.15278
arxiv.org
Interpreting Multimodal Communication at Scale in Short-Form Video: Visual, Audio, and Textual Mental Health Discourse on TikTok
Short-form video platforms integrate text, visuals, and audio into complex communicative acts, yet existing research analyzes these modalities in isolation, lacking scalable frameworks to interpret th...
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