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After governments in many parts of the world began mandating wearing masks when out in public, researchers in China and the US published datasets of images of masked faces scraped from social media sites to use as training data for AI facial recognition models. Researchers from the startup Workaround, who published the COVID19 Mask image Dataset to Github in April 2020 claimed the images were not private because they were posted on Instagram and therefore permission from the posters was not…
Content type: Examples
The risk detection company Dataminr has created an AI system that analyses social media posts to predict the next hotspots for COVID-19 outbreaks. The company claims it successfully predicted spikes seven to 13 days before they occurred - in the UK, in London, Hertfordshire, Essex, and Kent, and in 14 US states. Rather than measuring aggregated data, the system looks for unique posts from individuals who say they have symptoms, have tested positive, or been exposed, as well as first-hand…
Content type: Examples
The consumer and market trends insight company StatSocial announced Crisis Insights, which it claims tracks rapidly changing consumer audience dynamics to help US brands and CMOs respond effectively to the ongoing coronavirus epidemic and economic slowdown. StatSocial's Silhouette social data platform monitors and analyses more than 1.3 billion social accounts covering more than 70% of US households. Crisis Insights is intended to identify the changing dynamics of customers and consumers who…