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What Is the Global Attention Index (GAI)?
A daily measurement of what the world is not seeing — revealing the stories most media ecosystems ignore entirely.
The Global Attention Index (GAI) is a quantitative measurement created by Albis that scores whether news stories are covered at all across world regions. It runs on a 1-10 scale, where 1 means every region is covering the story and 10 means the story is almost invisible globally. The GAI does not measure how a story is framed — that is the job of the Perception Gap Index (PGI). The GAI measures something more fundamental: whether people even know a story exists.
Most people assume that if something important happens in the world, their news will tell them about it. The GAI proves this assumption wrong. A crisis affecting 200 million people can receive zero coverage in Western media. An election reshaping a continent can be invisible to audiences in Asia. These are not minor oversights — they are structural blind spots in how global information flows, and the GAI makes them measurable.
Albis scans media sources across 7 world regions in 9 native languages three times daily. When a story appears in some regional media ecosystems but not others, the GAI quantifies that asymmetry. The score factors in four dimensions:
Read the full technical process on the methodology page.
The GAI uses a 1-10 scale to measure information visibility across regions.
Global spotlight — every region is covering the story. High global awareness. Think major international summits or global natural disasters.
Broad awareness — most regions cover it but one or two miss it. A significant trade deal covered everywhere except Africa and Latin America.
Information shadow — only two or three regions cover the story. Billions of people are completely unaware it is happening.
Near invisible — a story exists in one region only. The rest of the world has no idea it is happening. A blind spot hiding in plain sight.
Example — GAI 7.4
A national election in South Asia reshaping the future of 200 million people. Covered extensively in South Asian and Asia-Pacific media. Virtually invisible in Western, Middle Eastern, and African outlets. GAI 7.4. If you only read English-language news, this event simply did not happen.
Like the PGI, the GAI is structured as a river system with seven tributaries. Each tributary measures attention blindness in a specific domain, weighted by regional population to reflect how many people are actually reached — or left in the dark.
Measures coverage gaps in wars, diplomacy, and territorial disputes. A conflict affecting millions can score GAI 8+ if only one or two regions report on it.
Tracks whether stories about disinformation campaigns, propaganda operations, and media manipulation reach audiences beyond the directly affected region.
Captures whether women's rights developments — progress or regression — receive attention beyond the region where they occur.
Measures whether economic crises, trade shifts, and policy changes affecting hundreds of millions receive proportionate global coverage.
Tracks coverage gaps in AI regulation, surveillance expansion, digital rights, and tech policy that affect billions but may only be reported in one or two regions.
Measures whether health crises, disease outbreaks, and public health developments reach audiences beyond the affected region.
Captures whether climate disasters, policy shifts, and environmental events receive global attention proportionate to their impact.
Explore all seven tributaries with live scores on the GAI dashboard.
The stories that receive the least attention are often the most important. A famine affecting millions, a democratic crisis reshaping a continent, a technological shift that will change how billions live — these events can happen in near-total global silence if they fall outside the attention patterns of dominant media ecosystems.
The GAI does not judge why coverage gaps exist. It simply makes them visible. When you can see what your media is not showing you, you gain the ability to look for it yourself. Albis exists to make that possible — to ensure that no story affecting millions of people remains invisible simply because it does not fit the attention priorities of a few powerful media markets.
Combined with the PGI, the GAI creates a complete picture: not just how stories are framed differently, but whether they are seen at all. Together they form Albis's core measurement system for global information awareness.
Discover what your media is not showing you. Updated three times daily with blind spot analysis for every region.
View the GAI DashboardGAI stands for Global Attention Index. It is a daily measurement created by Albis that quantifies whether news stories are covered across world regions, scored on a scale of 1 to 10. A low score means global coverage; a high score means the story is invisible to most of the world.
The GAI measures whether a story is covered at all — visibility. The PGI (Perception Gap Index) measures how differently a story is framed — narrative divergence. A story can score GAI 1 (everyone covers it) but PGI 9 (everyone frames it completely differently). They are complementary measurements.
A GAI of 10 means a story exists in only one region and is almost completely invisible to the rest of the world. Despite potentially affecting millions of people, no other media ecosystem is reporting on it. These are the most significant blind spots in global information systems.
If you read news from only one region, you are systematically blind to stories that matter to billions of other people. The GAI reveals what your media ecosystem is not showing you — not because of censorship, but because of structural attention patterns in global media.
Albis scans media in 9 native languages across 7 world regions three times daily. When a story appears in some regional media ecosystems but not others, the GAI scores that asymmetry. The more regions that miss a story, and the larger the populations in those regions, the higher the GAI score.