MAD STARS
Streaming Out Loud
Award2026 Finalist
BrandKUAISHOU
CountryChina
CategoryInnovation Stars
AppealDirect Response

Streaming Out Loud

The Silent Streamer Who Learned to Shout

The translation and summary on this page were generated with AI. Some expressions or proper nouns may be translated inaccurately, so please check the English original for the precise content.

AI Translation Summary

On China's Kuaishou platform, deaf sellers host live-shopping streams in sign language — but only other deaf people could follow along, so 90% of their viewers were deaf and their sales stayed small. Kuaishou paired streamer @Jingjing with AI that reads her hand movements, turns them into words, and lets her digital avatar speak them aloud in real time. Suddenly hearing shoppers could shop with her too: one two-hour stream drew 700,000+ viewers — a third of them hearing — and ¥53,000 in sales. The model has since spread to more than 100 deaf streamers.

Cultural Context

"Live commerce" is shopping through a live video stream, a huge business in China. The work builds on the ritual live-selling catchphrase "3, 2, 1 — link is live!", the moment a host drops the buy link; the point is that a deaf streamer's avatar can now shout it aloud like anyone else. The tone honors the streamers' skill rather than pitying them.

Entry Information

Summary

On Kuaishou, a leading live streaming platform in China, some deaf streamers make a living through live commerce, but their sign language silent live streams limit viewership to the deaf community (90% deaf viewers). Kuaishou teams up with deaf streamer @Jingjing, using cameras to capture her sign language. AI recognizes, translates these gestures to text, and her digital avatar speaks the content aloud in real time. This live stream breaks barriers, drawing hearing audiences and achieving significant surges in viewership and sales, building an inclusive bridge between the deaf community and the wider world while narrowing their income gap.

Strategy

Our strategy stemmed from two sharp insights: data showing 90% of deaf streamers’ viewers were deaf, with no reach into hearing audiences; and the reality that live commerce often treated inclusivity as a burden, not a growth opportunity. We built our plan around three core moves: using AI to turn sign language into real-time voice, targeting deaf streamers seeking stable livelihoods and hearing audiences, and linking creativity to business goals to prove inclusivity fuels sales. This approach broke communication barriers, lifting viewership and sales while narrowing the income gap.

Execution

We integrated Whalewords AI and Kuaishou’s Kling Avatar into @Jingjing’s stream setup: cameras captured every sign language movement, AI recognized and matched gestures to a dedicated database—we extracted all live commerce vocabulary from a 500,000-word Chinese sign language corpus to ensure precision tailored to the live commerce scene—translated them to text, then the avatar voiced content in real time. We leveraged Kuaishou’s native channel, and added a #SilentNoMoreLive tag to increase reach, then scaled the model to 3 more deaf streamers the same day. The execution fully met our goals, growing from a single livestream into a replicable, inclusive live commerce model that now benefits over 100 deaf streamers.

Results

The deaf streamer’s landmark live stream performs impressively: 700K+ viewers, 35% of whom are hearing people, with $53,000 in sales within just 2 hours, and 20% of buyers are hearing people new to her live stream. It also gets 360M+ earned media impressions and hits #1 on Kuaishou’s trending topics. By showing deaf streamers can connect with audiences (hearing included) and drive sales, this work fights unfair biases. It also sparks bigger change: Kuaishou now supports over 100 deaf streamers, giving more of them a path to earn a living. Most importantly, it creates a ripple effect of inclusivity, pushing more platforms and people to see deaf creators for their talent, letting them be noticed and giving them a fair chance to succeed.