This information comes from the website of our audience analytics partner HypeAuditor.
HypeAuditor collects and aggregates open data from a variety of sources: social platforms, catalogs, websites, crowdsourcing, and many more.
Once they have collected enough raw data, they proceed to the process of data anonymizing, sorting and structuring, cleaning and removing its irregularities, and enriching it.
After that they transform the data into intelligent estimations by using best-in-class calculations and machine learning algorithms developed by their team of leading data scientists and influencer marketing experts. They constantly test and improve their algorithms, connect new data sources and upgrade models.
We have to admit that not all publicly available data is accurate. There is a certain error rate among machine learning algorithms, that's why they use a combination of external recognition and a highly trained QA team to ensure that their insights are calculated as accurate as possible.