Over the last weeks, COVID-19 has monopolized the attention of mass media. Indeed, the consequences of the pandemic are unprecedented and heavily impact all spheres of our lives.
Leveraging Big Data Analytics we are mapping the discussion surrounding the pandemic in traditional news media (i.e online editions and videos published by major news sources) in Italy, UK, US and Canada. The new feature of our News Tracker allows users to explore the evolution of interest in different news topics.
As an example, the topic “Boris Johnson” (UK Prime Minister) breaks into the debate significantly around the 16th of March, after that UK adopted the “herd immunity” strategy against COVID-19, causing mixed reactions.
In a connected world, where news run at the speed of light in fibre optics, this approach sheds light on where the attention of people was, is, and is going, and offers additional insights to interpret the behaviour of people in such turbulent times.
We are honoured to collaborate with researchers from Greenwich University and ISI Foundation for this project on tracking and mapping news on COVID-19.
What is the project about?
COVID-19 News Tracker is a tool aimed at mapping the discussion surrounding the COVID-19 pandemic in traditional news media. The goal is to help users exploring the latest development considering a multitude of sources.
For the analysis, we consider Articles and Youtube Videos published by major traditional news media organizations in Italy, United Kingdom and United States.
Currently, the tracker supports the following features:
How can I access the results?
The results of the research are openly available on our data-automation and Machine Learning platform Scops. Visit covid19.scops.ai to explore them!
Did you know?
Just over the last two years, organisations that have deployed Artificial Intelligence grew from 4% to 14% according to Gartner.
From optimising inventories, supplies, liquidity levels and customer demand, predicting future scenarios allows companies to plan their business activity better.
Our SaaS platform Scops runs Machine Learning models that allow companies to create scenario analysis based on past and present data giving you the probability that a particular scenario occurs.
Did you know?
Data preparation eats-up to 80% of Data-Scientists' time! It means that most of the resources are not invested in making Data-Driven decisions but in preparing Data.
Our Saas platform Scops automates the data-preparation, letting you focus on the analysis and making Data-Driven decisions faster.
Did you know that?
"AI could contribute up to $15.7 trillion to the global economy by 2030, more than the current output of China and India combined.
Of this, $6.6 trillion is likely to come from increased productivity and $9.1 trillion is likely to come from consumption-side effects."1
Quick-Algorithm is committed in helping companies to become more Data-Driven with our Machine-Learning technology.