Is it possible to predict global daily investing behaviour at a glance? Perhaps. Researchers from RMIT University in Melbourne have trained an algorithm to determine investor mood no matter where they are in the world, painting a more accurate prediction of daily global stock market returns. The algorithm analyses images used in news articles, scoring them based on overall mood; people tend to “buy and sell more impulsively and intensively” when in a bad mood.
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The UK media is regulated by the likes of IPSO and Ofcom. The report by press regulator IMPRESS highlights the link between low levels of media literacy and trust in the news. The study found that three quarters of those who did not know if journalists were regulated did not trust the news. It suggests that improving media literacy is one way to stem the erosion of trust, and shows that audiences have an appetite for information on news processes. Stakeholders need to collaborate in order to rebuild trust in the news, and independent media is well placed to do this. Read full article here