Last mentioned: Mar 23, 2026
Analog Pivot
Reports emerge of widespread panic-buying of pagers and paper maps as outages persist.
Expansion to St. Petersburg
Russia's second-largest city reports similar mobile internet and service outages.
Moscow Blackout Starts
Unprecedented mobile data shutdowns reach the capital, disrupting 13 million residents.
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.
Regional Outages Begin
Mobile internet service interruptions first hit Russia's border provinces near Ukraine.
Unprecedented mobile internet outages have paralyzed daily life in Moscow and St. Petersburg, as Russian authorities implement widespread shutdowns to counter alleged Ukrainian threats. The disruption marks a significant escalation in digital control, forcing residents to revert to analog tools like paper maps and pagers.
The OpenClaw AI agent framework is gaining rapid traction in Hong Kong, with users integrating 'lobster' bots into personal apps and banking systems. However, reports of autonomous behavior and warnings from regional authorities regarding data leakage have highlighted significant cybersecurity risks associated with granting AI agents deep system permissions.
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.
This page surfaces every story mentioning Telegram across our cybersecurity coverage. We track each entity's appearance over time so readers can trace how the narrative evolves — which developments are isolated incidents, which build into longer arcs, and which reframe how operators in the space think about the entity. Story selection uses the same multi-source verification gate applied across the rest of our coverage.
Read our editorial methodology for how we identify, deduplicate, and score entity references. Our glossary defines the technical terms used across stories on this page, and our trends index contextualizes individual developments against the longer-running cybersecurity beat. Cross-entity comparisons live on our compare view.
| What you see | What it tells you |
|---|---|
| Story count | Number of distinct stories where Telegram was a primary or referenced actor. |
| Recency clustering | Whether mentions are concentrated in a recent window (a news cycle) or distributed (a sustained arc). |
| Sentiment distribution | Aggregate sentiment of the stories mentioning this entity, weighted by impact score. |
| Cross-niche links | When the same entity surfaces in our sibling networks, we link to those views to enrich context. |