Professor Adam G. Dunn

Professor of Biomedical Informatics
The University of Sydney

Twitter mood predicts the stock market

Twitter mood predicts the stock market

The original article is here uploaded on the 14th of October. Back in June I was toying with the idea of doing twitter surveillance to predict health outcomes in populations as part of my research and, of course, a side project would have been on the go for predicting the stock market (since after all, stock market data is much easier to get than health data). Looks like we should have started it properly in June, because we have now been beaten. Some very nice work, and worth a little look see before it hits the mainstream news.

  • On the value of deplatforming, and seeing online misinformation as an opportunity to counter misinformed beliefs in front of a key audience
  • Do Twitter bots spread vaccine misinformation?
  • trial2rev: seeing the forest for the trees in the systematic review ecosystem
  • How articles from financially conflicted authors are amplified, why it matters, and how to fix it.
  • Thinking outside the cylinder: on the use of clinical trial registries in evidence synthesis communities
  • Differences in exposure to negative news media are associated with lower levels of HPV vaccine coverage