The Attention Index is a standard for measuring activity across the media ecosystem. The project was initiated by the team at Kaleida, a media research and data company based out of the UK.
The data is available as CSVs in monthly batches. You can download the full data and use it for your needs.
We've published a summary and notes about the approach used to identify the model. Notes include information about what the data means, how it was collected and what we're doing with it.
And the algorithm is described in detail via a python jupyter notebook. That document goes step-by-step through our data explorations detailing how we arrived at these results. It includes the exploratory analysis, charts, data tables, statistics and the resulting formulas.
You are encouraged to apply our methodology to developing Attention Scores for your own needs - commercial, academic or otherwise.
This repository exists to make the Attention Index a useful standard for the global media ecosystem. Its evolution will happen here on GitHub, and we welcome contributions from the growing community.
As a new project we have not yet worked through our contributing policies. But please do submit PRs and we'll do our best to respond quickly. More to come.
The Attention Index data is made available by Kaleida Networks Ltd. to the public under a Creative Commons license (CC BY 4.0) including permission for commercial use. You are explicitly encouraged to use and share the data. We just ask that you give us attribution. And feel free to contact us if you have any questions about the data or usage.