Cybersecurity entity
Every one of those 1 sits in a single category, security. Baidu is the most frequent co-covered peer, appearing in 1 of the 1 tracked story. Each carries 3 original sources on average. We currently track 1 Cybersecurity story that mention Bilibili, all published on February 27, 2026.
Last mentioned: Feb 27, 2026
Entity pulse
Coverage balance Negative coverage leads. Negative coverage exceeds positive coverage by 100 percentage points.
Figures are computed live from our source-verified story record — see our methodology for how impact and sentiment are derived.
Every one of those 1 sits in a single category, security. Baidu is the most frequent co-covered peer, appearing in 1 of the 1 tracked story. Each carries 3 original sources on average. We currently track 1 Cybersecurity story that mention Bilibili, all published on February 27, 2026.
Computed from the 1 stories linked to this entity, with beat comparisons drawn from all 17 Cybersecurity stories published in the same date window. Shares are omitted below five stories and comparisons below a twenty-story baseline.
Coverage cohort
Other entities that clear the same relevance threshold in stories also covering Bilibili. Shared-story counts are live from our verified record — not editorial picks.
SCMP Report
South China Morning Post brings global attention to the 'digital public shaming' campaign.
Free Nora Investigation
Feminist collective Free Nora publishes findings on Doubao's exploitation for deepfakes.
Market Data Released
QuestMobile reports Doubao has 155M weekly active users, leading the Chinese AI market.
ByteDance's Doubao chatbot is under fire after reports revealed its safety protocols are being systematically bypassed to create non-consensual pornographic deepfakes. A grassroots investigation by Free Nora uncovered a coordinated 'digital public shaming' campaign leveraging a coded prompt system known as 'fenjue' to circumvent moderation.
Bilibili is linked from 1 story on this site, each scored at or above our 35% relevance threshold — see how these pages are built.
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