GLOBAL TREND RADAR

About Global Trend Radar

Effective date: 1 November 2026

Global Trend Radar is a social-topic discovery publication operated by QIBA DAILY. It brings saved conversations, popular tags and source links from multiple platforms into one place, helping readers, writers and creators decide what to explore next.

What you can find here

Each platform has its own card and dedicated page. Topics are organized into AI, gaming, entertainment, gadgets, sports, business, lifestyle and world interests. The detailed library lets you inspect more of the saved source material. Our daily archive preserves the first website snapshot saved on each build date.

Sources and editorial context

The dashboard uses our existing reviewed topic collection and independently recorded tags. Titles can describe a news event, a discussion or a specific creative work. Every entry retains its original source link when available. Some sources are sampled public posts or partial lists; inclusion does not establish a complete ranking of an entire platform.

Board positions show our saved display order. Source ranks, views, likes and other metrics retain their own meanings and observation windows. Metrics from different platforms are not summed. An observation time describes when a source was recorded, not necessarily when an event happened.

Updates and deeper reading

The source timestamp at the top shows the latest observation in the published snapshot. Saved material remains available between collections. An archive's date is the date that website edition was saved; it does not relabel older observations as new.

Every topic links to its original source. A highlighted Deep Dive button appears only when that topic's data contains an explicit article link. Our publications portal provides direct access to our editorial publications. English and Chinese display options use the existing translation catalogue.

Contact and corrections

For corrections, copyright concerns, accessibility feedback or account requests, contact QIBA DAILY at [email protected]. Include the relevant Radar page and original source link so we can identify the material.