So...I have been systematically collecting tweets about human papillomavirus (HPV) vaccines since October 2013. We now have over two hundred thousand tweets that included keywords related to HPV vaccines, and the first of two pieces of research we have undertaken using these data has just been published in the Journal of Medical Internet Research. It covers 6 … Continue reading Twitter users with anti-vaccine opinions are relatively easy to spot if we can measure their misinformation exposure
So #hic12 is nearly here and I’ll be there in a rather unusual capacity. I won’t be giving a talk. I won’t even be standing in front of a poster. I’ll be there as the official twitterer, which means I’ll be flitting around from talk to talk, tweeting from the official @hic_2012 account, and hopefully connecting people … Continue reading The Health Informatics Conference 2012, Sydney
[Update: This page is no longer relevant. If you are here to interact with Twitter via the API using Matlab, then you want Twitty. The rest is here for posterity.] Having slowly degraded my ability to interact with proper operating systems and obscure programming languages (e.g. NSFW), I find it difficult to keep up with … Continue reading Full access to the Twitter API in Matlab via R
A quick link for today showing a visualisation of Twitter showing a more practical explanation of a nation’s (presumably referring to the UK in the picture below) mood. I think it is interesting and beautiful.
A sign of the future - tweets travelling faster than an earthquake so that you would read about it before you feel it. Read the original post here and then check out the amusing video made by twitter in response. TweetQuake, from Sune Lehmann and colleagues
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 … Continue reading Twitter mood predicts the stock market